Merge pull request #634 from commaai/devel 0.5.11 Release

0.5.11 Devel -> Release2

.gitignore

@@ -1,2 +1,36 @@
+.DS_Store
+.tags
+.ipynb_checkpoints
+.idea
+.sconsign.dblite
+model2.png
+a.out
+
+*.DSYM
+*.d
 *.pyc
+*.pyo
 .*.swp
+.*.swo
+.*.un~
+*.o
+*.so
+*.a
+*.clb
+*.class
+*.pyxbldc
+*.vcd
+config.json
+clcache
+
+board/obj/
+selfdrive/boardd/boardd
+selfdrive/logcatd/logcatd
+selfdrive/mapd/default_speeds_by_region.json
+selfdrive/proclogd/proclogd
+selfdrive/ui/ui
+selfdrive/test/tests/plant/out
+selfdrive/visiond/visiond
+/src/
+
+one

.pylintrc

@@ -0,0 +1,585 @@
+[MASTER]
+
+# A comma-separated list of package or module names from where C extensions may
+# be loaded. Extensions are loading into the active Python interpreter and may
+# run arbitrary code
+extension-pkg-whitelist=scipy
+
+# Add files or directories to the blacklist. They should be base names, not
+# paths.
+ignore=CVS
+
+# Add files or directories matching the regex patterns to the blacklist. The
+# regex matches against base names, not paths.
+ignore-patterns=
+
+# Python code to execute, usually for sys.path manipulation such as
+# pygtk.require().
+#init-hook=
+
+# Use multiple processes to speed up Pylint.
+jobs=4
+
+# List of plugins (as comma separated values of python modules names) to load,
+# usually to register additional checkers.
+load-plugins=
+
+# Pickle collected data for later comparisons.
+persistent=yes
+
+# Specify a configuration file.
+#rcfile=
+
+# When enabled, pylint would attempt to guess common misconfiguration and emit
+# user-friendly hints instead of false-positive error messages
+suggestion-mode=yes
+
+# Allow loading of arbitrary C extensions. Extensions are imported into the
+# active Python interpreter and may run arbitrary code.
+unsafe-load-any-extension=no
+
+
+[MESSAGES CONTROL]
+
+# Only show warnings with the listed confidence levels. Leave empty to show
+# all. Valid levels: HIGH, INFERENCE, INFERENCE_FAILURE, UNDEFINED
+confidence=
+
+# Disable the message, report, category or checker with the given id(s). You
+# can either give multiple identifiers separated by comma (,) or put this
+# option multiple times (only on the command line, not in the configuration
+# file where it should appear only once).You can also use "--disable=all" to
+# disable everything first and then reenable specific checks. For example, if
+# you want to run only the similarities checker, you can use "--disable=all
+# --enable=similarities". If you want to run only the classes checker, but have
+# no Warning level messages displayed, use"--disable=all --enable=classes
+# --disable=W"
+disable=print-statement,
+        parameter-unpacking,
+        unpacking-in-except,
+        old-raise-syntax,
+        backtick,
+        long-suffix,
+        old-ne-operator,
+        old-octal-literal,
+        import-star-module-level,
+        non-ascii-bytes-literal,
+        raw-checker-failed,
+        bad-inline-option,
+        locally-disabled,
+        locally-enabled,
+        file-ignored,
+        suppressed-message,
+        useless-suppression,
+        deprecated-pragma,
+        apply-builtin,
+        basestring-builtin,
+        buffer-builtin,
+        cmp-builtin,
+        coerce-builtin,
+        execfile-builtin,
+        file-builtin,
+        long-builtin,
+        raw_input-builtin,
+        reduce-builtin,
+        standarderror-builtin,
+        unicode-builtin,
+        xrange-builtin,
+        coerce-method,
+        delslice-method,
+        getslice-method,
+        setslice-method,
+        no-absolute-import,
+        old-division,
+        dict-iter-method,
+        dict-view-method,
+        next-method-called,
+        metaclass-assignment,
+        indexing-exception,
+        raising-string,
+        reload-builtin,
+        oct-method,
+        hex-method,
+        nonzero-method,
+        cmp-method,
+        input-builtin,
+        round-builtin,
+        intern-builtin,
+        unichr-builtin,
+        map-builtin-not-iterating,
+        zip-builtin-not-iterating,
+        range-builtin-not-iterating,
+        filter-builtin-not-iterating,
+        using-cmp-argument,
+        eq-without-hash,
+        div-method,
+        idiv-method,
+        rdiv-method,
+        exception-message-attribute,
+        invalid-str-codec,
+        sys-max-int,
+        bad-python3-import,
+        deprecated-string-function,
+        deprecated-str-translate-call,
+        deprecated-itertools-function,
+        deprecated-types-field,
+        next-method-defined,
+        dict-items-not-iterating,
+        dict-keys-not-iterating,
+        dict-values-not-iterating,
+        bad-indentation,
+        line-too-long,
+        missing-docstring,
+        multiple-statements,
+        bad-continuation,
+        invalid-name,
+        too-many-arguments,
+        too-many-locals,
+        superfluous-parens,
+        bad-whitespace,
+        too-many-instance-attributes,
+        wrong-import-position,
+        ungrouped-imports,
+        wrong-import-order,
+        protected-access,
+        trailing-whitespace,
+        too-many-branches,
+        too-few-public-methods,
+        too-many-statements,
+        trailing-newlines,
+        attribute-defined-outside-init,
+        too-many-return-statements,
+        too-many-public-methods,
+        unused-argument,
+        old-style-class,
+        no-init,
+        len-as-condition,
+        unneeded-not,
+        no-self-use,
+        multiple-imports,
+        no-else-return,
+        logging-not-lazy,
+        fixme,
+        redefined-outer-name,
+        unused-variable,
+        unsubscriptable-object,
+        expression-not-assigned,
+        too-many-boolean-expressions,
+        consider-using-ternary,
+        invalid-unary-operand-type,
+        relative-import,
+        deprecated-lambda
+
+
+# Enable the message, report, category or checker with the given id(s). You can
+# either give multiple identifier separated by comma (,) or put this option
+# multiple time (only on the command line, not in the configuration file where
+# it should appear only once). See also the "--disable" option for examples.
+enable=c-extension-no-member
+
+
+[REPORTS]
+
+# Python expression which should return a note less than 10 (10 is the highest
+# note). You have access to the variables errors warning, statement which
+# respectively contain the number of errors / warnings messages and the total
+# number of statements analyzed. This is used by the global evaluation report
+# (RP0004).
+evaluation=10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10)
+
+# Template used to display messages. This is a python new-style format string
+# used to format the message information. See doc for all details
+#msg-template=
+
+# Set the output format. Available formats are text, parseable, colorized, json
+# and msvs (visual studio).You can also give a reporter class, eg
+# mypackage.mymodule.MyReporterClass.
+output-format=text
+
+# Tells whether to display a full report or only the messages
+reports=no
+
+# Activate the evaluation score.
+score=yes
+
+
+[REFACTORING]
+
+# Maximum number of nested blocks for function / method body
+max-nested-blocks=5
+
+# Complete name of functions that never returns. When checking for
+# inconsistent-return-statements if a never returning function is called then
+# it will be considered as an explicit return statement and no message will be
+# printed.
+never-returning-functions=optparse.Values,sys.exit
+
+
+[LOGGING]
+
+# Logging modules to check that the string format arguments are in logging
+# function parameter format
+logging-modules=logging
+
+
+[SPELLING]
+
+# Limits count of emitted suggestions for spelling mistakes
+max-spelling-suggestions=4
+
+# Spelling dictionary name. Available dictionaries: none. To make it working
+# install python-enchant package.
+spelling-dict=
+
+# List of comma separated words that should not be checked.
+spelling-ignore-words=
+
+# A path to a file that contains private dictionary; one word per line.
+spelling-private-dict-file=
+
+# Tells whether to store unknown words to indicated private dictionary in
+# --spelling-private-dict-file option instead of raising a message.
+spelling-store-unknown-words=no
+
+
+[MISCELLANEOUS]
+
+# List of note tags to take in consideration, separated by a comma.
+notes=FIXME,
+      XXX,
+      TODO
+
+
+[SIMILARITIES]
+
+# Ignore comments when computing similarities.
+ignore-comments=yes
+
+# Ignore docstrings when computing similarities.
+ignore-docstrings=yes
+
+# Ignore imports when computing similarities.
+ignore-imports=no
+
+# Minimum lines number of a similarity.
+min-similarity-lines=4
+
+
+[TYPECHECK]
+
+# List of decorators that produce context managers, such as
+# contextlib.contextmanager. Add to this list to register other decorators that
+# produce valid context managers.
+contextmanager-decorators=contextlib.contextmanager
+
+# List of members which are set dynamically and missed by pylint inference
+# system, and so shouldn't trigger E1101 when accessed. Python regular
+# expressions are accepted.
+generated-members=capnp.* cereal.* pygame.* zmq.* setproctitle.* smbus2.* usb1.* serial.* cv2.*
+
+# Tells whether missing members accessed in mixin class should be ignored. A
+# mixin class is detected if its name ends with "mixin" (case insensitive).
+ignore-mixin-members=yes
+
+# This flag controls whether pylint should warn about no-member and similar
+# checks whenever an opaque object is returned when inferring. The inference
+# can return multiple potential results while evaluating a Python object, but
+# some branches might not be evaluated, which results in partial inference. In
+# that case, it might be useful to still emit no-member and other checks for
+# the rest of the inferred objects.
+ignore-on-opaque-inference=yes
+
+# List of class names for which member attributes should not be checked (useful
+# for classes with dynamically set attributes). This supports the use of
+# qualified names.
+ignored-classes=optparse.Values,thread._local,_thread._local
+
+# List of module names for which member attributes should not be checked
+# (useful for modules/projects where namespaces are manipulated during runtime
+# and thus existing member attributes cannot be deduced by static analysis. It
+# supports qualified module names, as well as Unix pattern matching.
+ignored-modules=flask setproctitle usb1 flask.ext.socketio smbus2 usb1.*
+
+# Show a hint with possible names when a member name was not found. The aspect
+# of finding the hint is based on edit distance.
+missing-member-hint=yes
+
+# The minimum edit distance a name should have in order to be considered a
+# similar match for a missing member name.
+missing-member-hint-distance=1
+
+# The total number of similar names that should be taken in consideration when
+# showing a hint for a missing member.
+missing-member-max-choices=1
+
+
+[VARIABLES]
+
+# List of additional names supposed to be defined in builtins. Remember that
+# you should avoid to define new builtins when possible.
+additional-builtins=
+
+# Tells whether unused global variables should be treated as a violation.
+allow-global-unused-variables=yes
+
+# List of strings which can identify a callback function by name. A callback
+# name must start or end with one of those strings.
+callbacks=cb_,
+          _cb
+
+# A regular expression matching the name of dummy variables (i.e. expectedly
+# not used).
+dummy-variables-rgx=_+$|(_[a-zA-Z0-9_]*[a-zA-Z0-9]+?$)|dummy|^ignored_|^unused_
+
+# Argument names that match this expression will be ignored. Default to name
+# with leading underscore
+ignored-argument-names=_.*|^ignored_|^unused_
+
+# Tells whether we should check for unused import in __init__ files.
+init-import=no
+
+# List of qualified module names which can have objects that can redefine
+# builtins.
+redefining-builtins-modules=six.moves,past.builtins,future.builtins
+
+
+[FORMAT]
+
+# Expected format of line ending, e.g. empty (any line ending), LF or CRLF.
+expected-line-ending-format=
+
+# Regexp for a line that is allowed to be longer than the limit.
+ignore-long-lines=^\s*(# )?<?https?://\S+>?$
+
+# Number of spaces of indent required inside a hanging  or continued line.
+indent-after-paren=4
+
+# String used as indentation unit. This is usually "    " (4 spaces) or "\t" (1
+# tab).
+indent-string='  '
+
+# Maximum number of characters on a single line.
+max-line-length=100
+
+# Maximum number of lines in a module
+max-module-lines=1000
+
+# List of optional constructs for which whitespace checking is disabled. `dict-
+# separator` is used to allow tabulation in dicts, etc.: {1  : 1,\n222: 2}.
+# `trailing-comma` allows a space between comma and closing bracket: (a, ).
+# `empty-line` allows space-only lines.
+no-space-check=trailing-comma,
+               dict-separator
+
+# Allow the body of a class to be on the same line as the declaration if body
+# contains single statement.
+single-line-class-stmt=no
+
+# Allow the body of an if to be on the same line as the test if there is no
+# else.
+single-line-if-stmt=no
+
+
+[BASIC]
+
+# Naming style matching correct argument names
+argument-naming-style=snake_case
+
+# Regular expression matching correct argument names. Overrides argument-
+# naming-style
+#argument-rgx=
+
+# Naming style matching correct attribute names
+attr-naming-style=snake_case
+
+# Regular expression matching correct attribute names. Overrides attr-naming-
+# style
+#attr-rgx=
+
+# Bad variable names which should always be refused, separated by a comma
+bad-names=foo,
+          bar,
+          baz,
+          toto,
+          tutu,
+          tata
+
+# Naming style matching correct class attribute names
+class-attribute-naming-style=any
+
+# Regular expression matching correct class attribute names. Overrides class-
+# attribute-naming-style
+#class-attribute-rgx=
+
+# Naming style matching correct class names
+class-naming-style=PascalCase
+
+# Regular expression matching correct class names. Overrides class-naming-style
+#class-rgx=
+
+# Naming style matching correct constant names
+const-naming-style=UPPER_CASE
+
+# Regular expression matching correct constant names. Overrides const-naming-
+# style
+#const-rgx=
+
+# Minimum line length for functions/classes that require docstrings, shorter
+# ones are exempt.
+docstring-min-length=-1
+
+# Naming style matching correct function names
+function-naming-style=snake_case
+
+# Regular expression matching correct function names. Overrides function-
+# naming-style
+#function-rgx=
+
+# Good variable names which should always be accepted, separated by a comma
+good-names=i,
+           j,
+           k,
+           ex,
+           Run,
+           _
+
+# Include a hint for the correct naming format with invalid-name
+include-naming-hint=no
+
+# Naming style matching correct inline iteration names
+inlinevar-naming-style=any
+
+# Regular expression matching correct inline iteration names. Overrides
+# inlinevar-naming-style
+#inlinevar-rgx=
+
+# Naming style matching correct method names
+method-naming-style=snake_case
+
+# Regular expression matching correct method names. Overrides method-naming-
+# style
+#method-rgx=
+
+# Naming style matching correct module names
+module-naming-style=snake_case
+
+# Regular expression matching correct module names. Overrides module-naming-
+# style
+#module-rgx=
+
+# Colon-delimited sets of names that determine each other's naming style when
+# the name regexes allow several styles.
+name-group=
+
+# Regular expression which should only match function or class names that do
+# not require a docstring.
+no-docstring-rgx=^_
+
+# List of decorators that produce properties, such as abc.abstractproperty. Add
+# to this list to register other decorators that produce valid properties.
+property-classes=abc.abstractproperty
+
+# Naming style matching correct variable names
+variable-naming-style=snake_case
+
+# Regular expression matching correct variable names. Overrides variable-
+# naming-style
+#variable-rgx=
+
+
+[DESIGN]
+
+# Maximum number of arguments for function / method
+max-args=5
+
+# Maximum number of attributes for a class (see R0902).
+max-attributes=7
+
+# Maximum number of boolean expressions in a if statement
+max-bool-expr=5
+
+# Maximum number of branch for function / method body
+max-branches=12
+
+# Maximum number of locals for function / method body
+max-locals=15
+
+# Maximum number of parents for a class (see R0901).
+max-parents=7
+
+# Maximum number of public methods for a class (see R0904).
+max-public-methods=20
+
+# Maximum number of return / yield for function / method body
+max-returns=6
+
+# Maximum number of statements in function / method body
+max-statements=50
+
+# Minimum number of public methods for a class (see R0903).
+min-public-methods=2
+
+
+[CLASSES]
+
+# List of method names used to declare (i.e. assign) instance attributes.
+defining-attr-methods=__init__,
+                      __new__,
+                      setUp
+
+# List of member names, which should be excluded from the protected access
+# warning.
+exclude-protected=_asdict,
+                  _fields,
+                  _replace,
+                  _source,
+                  _make
+
+# List of valid names for the first argument in a class method.
+valid-classmethod-first-arg=cls
+
+# List of valid names for the first argument in a metaclass class method.
+valid-metaclass-classmethod-first-arg=mcs
+
+
+[IMPORTS]
+
+# Allow wildcard imports from modules that define __all__.
+allow-wildcard-with-all=no
+
+# Analyse import fallback blocks. This can be used to support both Python 2 and
+# 3 compatible code, which means that the block might have code that exists
+# only in one or another interpreter, leading to false positives when analysed.
+analyse-fallback-blocks=no
+
+# Deprecated modules which should not be used, separated by a comma
+deprecated-modules=regsub,
+                   TERMIOS,
+                   Bastion,
+                   rexec
+
+# Create a graph of external dependencies in the given file (report RP0402 must
+# not be disabled)
+ext-import-graph=
+
+# Create a graph of every (i.e. internal and external) dependencies in the
+# given file (report RP0402 must not be disabled)
+import-graph=
+
+# Create a graph of internal dependencies in the given file (report RP0402 must
+# not be disabled)
+int-import-graph=
+
+# Force import order to recognize a module as part of the standard
+# compatibility libraries.
+known-standard-library=
+
+# Force import order to recognize a module as part of a third party library.
+known-third-party=enchant
+
+
+[EXCEPTIONS]
+
+# Exceptions that will emit a warning when being caught. Defaults to
+# "Exception"
+overgeneral-exceptions=Exception

.travis.yml

@@ -0,0 +1,18 @@
+sudo: required
+
+services:
+  - docker
+
+install:
+  - docker build -t tmppilot -f Dockerfile.openpilot .
+
+script:
+  - docker run
+      tmppilot /bin/sh -c 'cd /tmp/openpilot/selfdrive/test/ && ./test_fingerprints.py'
+  - docker run
+      tmppilot /bin/sh -c 'cd /tmp/openpilot/ && pyflakes $(find . -iname "*.py" | grep -vi "^\./pyextra.*" | grep -vi "^\./panda")'
+  - docker run
+      tmppilot /bin/sh -c 'cd /tmp/openpilot/ && pylint $(find . -iname "*.py" | grep -vi "^\./pyextra.*" | grep -vi "^\./panda"); exit $(($? & 3))'
+  - docker run
+      -v "$(pwd)"/selfdrive/test/tests/plant/out:/tmp/openpilot/selfdrive/test/tests/plant/out
+      tmppilot /bin/sh -c 'cd /tmp/openpilot/selfdrive/test/tests/plant && OPTEST=1 ./test_longitudinal.py'

CONTRIBUTING.md

@@ -0,0 +1,18 @@
+# How to contribute
+
+Our software is open source so you can solve your own problems without needing help from others. And if you solve a problem and are so kind, you can upstream it for the rest of the world to use.
+
+Most open source development activity is coordinated through our [Discord](https://discord.comma.ai). A lot of documentation is available on our [medium](https://medium.com/@comma_ai/)
+
+## Getting Started
+
+ * Join our [Discord](https://discord.comma.ai)
+ * Make sure you have a [GitHub account](https://github.com/signup/free)
+ * Fork [our repositories](https://github.com/commaai) on GitHub
+
+## Car Ports (openpilot)
+
+We've released a [Model Port guide](https://medium.com/@comma_ai/openpilot-port-guide-for-toyota-models-e5467f4b5fe6) for porting to Toyota/Lexus models.
+
+If you port openpilot to a substantially new car brand, see this more generic [Brand Port guide](https://medium.com/@comma_ai/how-to-write-a-car-port-for-openpilot-7ce0785eda84). You might also be eligible for a bounty. See our bounties at [comma.ai/bounties.html](https://comma.ai/bounties.html)
+

Dockerfile.openpilot

@@ -0,0 +1,43 @@
+FROM ubuntu:16.04
+ENV PYTHONUNBUFFERED 1
+
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    clang \
+    vim \
+    screen \
+    wget \
+    bzip2 \
+    git \
+    libglib2.0-0 \
+    python-pip \
+    capnproto \
+    libcapnp-dev \
+    libzmq5-dev \
+    libffi-dev \
+    libusb-1.0-0 \
+    libssl-dev \
+    ocl-icd-libopencl1 \
+    ocl-icd-opencl-dev \
+    opencl-headers
+
+RUN pip install --upgrade pip==18.0
+RUN pip install numpy==1.11.2 scipy==0.18.1 matplotlib==2.1.2
+
+COPY requirements_openpilot.txt /tmp/
+RUN pip install -r /tmp/requirements_openpilot.txt
+
+ENV PYTHONPATH /tmp/openpilot:$PYTHONPATH
+
+COPY ./.pylintrc /tmp/openpilot/.pylintrc
+COPY ./common /tmp/openpilot/common
+COPY ./cereal /tmp/openpilot/cereal
+COPY ./opendbc /tmp/openpilot/opendbc
+COPY ./selfdrive /tmp/openpilot/selfdrive
+COPY ./phonelibs /tmp/openpilot/phonelibs
+COPY ./pyextra /tmp/openpilot/pyextra
+COPY ./panda /tmp/openpilot/panda
+
+RUN mkdir -p /tmp/openpilot/selfdrive/test/out
+RUN make -C /tmp/openpilot/selfdrive/controls/lib/longitudinal_mpc clean
+RUN make -C /tmp/openpilot/selfdrive/controls/lib/lateral_mpc clean

LICENSE

@@ -0,0 +1,7 @@
+Copyright (c) 2018, Comma.ai, Inc.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Makefile

@@ -0,0 +1,9 @@
+
+code_dir := $(shell pwd)
+
+# TODO: Add a global build system
+
+.PHONY: all
+all:
+	cd selfdrive && PYTHONPATH=$(code_dir) PREPAREONLY=1 ./manager.py
+

README.md

@@ -1,53 +1,228 @@
-opendbc
+[![](https://i.imgur.com/xY2gdHv.png)](#)
+
+Welcome to openpilot
 ======
 
-The project to democratize access to the decoder ring of your car.
+[openpilot](http://github.com/commaai/openpilot) is an open source driving agent. Currently, it performs the functions of Adaptive Cruise Control (ACC) and Lane Keeping Assist System (LKAS) for selected Honda, Toyota, Acura, Lexus, Chevrolet, Hyundai, Kia. It's about on par with Tesla Autopilot and GM Super Cruise, and better than [all other manufacturers](http://www.thedrive.com/tech/5707/the-war-for-autonomous-driving-part-iii-us-vs-germany-vs-japan).
 
+The openpilot codebase has been written to be concise and to enable rapid prototyping. We look forward to your contributions - improving real vehicle automation has never been easier.
 
+Table of Contents
+=======================
 
-### DBC file basics
+* [Community](#community)
+* [Hardware](#hardware)
+* [Supported Cars](#supported-cars)
+* [Community Maintained Cars](#community-maintained-cars)
+* [In Progress Cars](#in-progress-cars)
+* [How can I add support for my car?](#how-can-i-add-support-for-my-car)
+* [Directory structure](#directory-structure)
+* [User Data / chffr Account / Crash Reporting](#user-data--chffr-account--crash-reporting)
+* [Testing on PC](#testing-on-pc)
+* [Contributing](#contributing)
+* [Licensing](#licensing)
 
-A DBC file encodes, in a humanly readable way, the information needed to understand a vehicle's CAN bus traffic. A vehicle might have multiple CAN buses and every CAN bus is represented by its own dbc file.
-Wondering what's the DBC file format? [Here](http://www.socialledge.com/sjsu/index.php?title=DBC_Format) and [Here](https://github.com/stefanhoelzl/CANpy/blob/master/docs/DBC_Specification.md) a couple of good overviews.
+---
 
-### How to start reverse engineering cars
+Community
+------
 
-[opendbc](https://github.com/commaai/opendbc) is integrated with [cabana](https://community.comma.ai/cabana/).
+openpilot is developed by [comma.ai](https://comma.ai/) and users like you.
 
-Use [panda](https://github.com/commaai/panda) to connect your car to a computer.
+We have a [Twitter you should follow](https://twitter.com/comma_ai).
 
-### DBC file preprocessor
+Also, we have a several thousand people community on [Discord](https://discord.comma.ai).
 
-DBC files for different models of the same brand have a lot of overlap. Therefore, we wrote a preprocessor to create DBC files from a brand DBC file and a model specific DBC file. The source DBC files can be found in the generator folder. After changing one of the files run the generator.py script to regenerate the output files. These output files will be placed in the root of the opendbc repository and are suffixed by _generated.
+<table>
+  <tr>
+    <td><a href="https://www.youtube.com/watch?v=ICOIin4p70w" title="YouTube" rel="noopener"><img src="https://i.imgur.com/gBTo7yB.png"></a></td>
+    <td><a href="https://www.youtube.com/watch?v=1zCtj3ckGFo" title="YouTube" rel="noopener"><img src="https://i.imgur.com/gNhhcep.png"></a></td>
+    <td><a href="https://www.youtube.com/watch?v=Qd2mjkBIRx0" title="YouTube" rel="noopener"><img src="https://i.imgur.com/tFnSexp.png"></a></td>
+    <td><a href="https://www.youtube.com/watch?v=ju12vlBm59E" title="YouTube" rel="noopener"><img src="https://i.imgur.com/3BKiJVy.png"></a></td>
+  </tr>
+  <tr>
+    <td><a href="https://www.youtube.com/watch?v=Z5VY5FzgNt4" title="YouTube" rel="noopener"><img src="https://i.imgur.com/3I9XOK2.png"></a></td>
+    <td><a href="https://www.youtube.com/watch?v=blnhZC7OmMg" title="YouTube" rel="noopener"><img src="https://i.imgur.com/f9IgX6s.png"></a></td>
+    <td><a href="https://www.youtube.com/watch?v=iRkz7FuJsA8" title="YouTube" rel="noopener"><img src="https://i.imgur.com/Vo5Zvmn.png"></a></td>
+    <td><a href="https://www.youtube.com/watch?v=IHjEqAKDqjM" title="YouTube" rel="noopener"><img src="https://i.imgur.com/V9Zd81n.png"></a></td>
+  </tr>
+</table>
 
-### Good practices for contributing to opendbc
+Hardware
+------
 
-- Comments: the best way to store comments is to add them directly to the DBC files. For example:
-    ```
-    CM_ SG_ 490 LONG_ACCEL "wheel speed derivative, noisy and zero snapping";
-    ```
-    is a comment that refers to signal `LONG_ACCEL` in message `490`. Using comments is highly recommended, especially for doubts and uncertainties. [cabana](https://community.comma.ai/cabana/) can easily display/add/edit comments to signals and messages.
+At the moment openpilot supports the [EON Dashcam DevKit](https://comma.ai/shop/products/eon-dashcam-devkit). A [panda](https://shop.comma.ai/products/panda-obd-ii-dongle) and a [giraffe](https://comma.ai/shop/products/giraffe/) are recommended tools to interface the EON with the car. We'd like to support other platforms as well.
 
-- Units: when applicable, it's recommended to convert signals into physical units, by using a proper signal factor. Using a SI unit is preferred, unless a non-SI unit rounds the signal factor much better.
-For example:
-    ```
-    SG_ VEHICLE_SPEED : 7|15@0+ (0.00278,0) [0|70] "m/s" PCM
-    ```
-    is better than:
-    ```
-    SG_ VEHICLE_SPEED : 7|15@0+ (0.00620,0) [0|115] "mph" PCM
-    ```
-    However, the cleanest option is really:
-    ```
-    SG_ VEHICLE_SPEED : 7|15@0+ (0.01,0) [0|250] "kph" PCM
-    ```
+Install openpilot on a neo device by entering ``https://openpilot.comma.ai`` during NEOS setup.
 
-- Signal's size: always use the smallest amount of bits possible. For example, let's say I'm reverse engineering the gas pedal position and I've determined that it's in a 3 bytes message. For 0% pedal position I read a message value of `0x00 0x00 0x00`, while for 100% of pedal position I read `0x64 0x00 0x00`: clearly, the gas pedal position is within the first byte of the message and I might be tempted to define the signal `GAS_POS` as:
-    ```
-    SG_ GAS_POS : 7|8@0+ (1,0) [0|100] "%" PCM
-    ```
-    However, I can't be sure that the very first bit of the message is referred to the pedal position: I haven't seen it changing! Therefore, a safer way of defining the signal is:
-    ```
-    SG_ GAS_POS : 6|7@0+ (1,0) [0|100] "%" PCM
-    ```
-    which leaves the first bit unallocated. This prevents from very erroneous reading of the gas pedal position, in case the first bit is indeed used for something else.
+Supported Cars
+------
+
+| Make                 | Model                    | Supported Package    | Lateral | Longitudinal   | No Accel Below   | No Steer Below | Giraffe           |
+| ---------------------| -------------------------| ---------------------| --------| ---------------| -----------------| ---------------|-------------------|
+| Acura                | ILX 2016-17              | AcuraWatch Plus      | Yes     | Yes            | 25mph<sup>1</sup>| 25mph          | Nidec             |
+| Acura                | RDX 2018                 | AcuraWatch Plus      | Yes     | Yes            | 25mph<sup>1</sup>| 12mph          | Nidec             |
+| Buick<sup>3</sup>    | Regal 2018               | Adaptive Cruise      | Yes     | Yes            | 0mph             | 7mph           | Custom<sup>7</sup>|
+| Chevrolet<sup>3</sup>| Malibu 2017              | Adaptive Cruise      | Yes     | Yes            | 0mph             | 7mph           | Custom<sup>7</sup>|
+| Chevrolet<sup>3</sup>| Volt 2017-18             | Adaptive Cruise      | Yes     | Yes            | 0mph             | 7mph           | Custom<sup>7</sup>|
+| Cadillac<sup>3</sup> | ATS 2018                 | Adaptive Cruise      | Yes     | Yes            | 0mph             | 7mph           | Custom<sup>7</sup>|
+| Chrysler             | Pacifica 2018            | Adaptive Cruise      | Yes     | Stock          | 0mph             | 9mph           | FCA               |
+| Chrysler             | Pacifica Hybrid 2017-18  | Adaptive Cruise      | Yes     | Stock          | 0mph             | 9mph           | FCA               |
+| Chrysler             | Pacifica Hybrid 2019     | Adaptive Cruise      | Yes     | Stock          | 0mph             | 39mph          | FCA               |
+| GMC<sup>3</sup>      | Acadia Denali 2018       | Adaptive Cruise      | Yes     | Yes            | 0mph             | 7mph           | Custom<sup>7</sup>|
+| Holden<sup>3</sup>   | Astra 2017               | Adaptive Cruise      | Yes     | Yes            | 0mph             | 7mph           | Custom<sup>7</sup>|
+| Honda                | Accord 2018              | All                  | Yes     | Stock          | 0mph             | 3mph           | Bosch             |
+| Honda                | Civic Sedan/Coupe 2016-18| Honda Sensing        | Yes     | Yes            | 0mph             | 12mph          | Nidec             |
+| Honda                | Civic Sedan/Coupe 2019   | Honda Sensing        | Yes     | Stock          | 0mph             | 2mph           | Bosch             |
+| Honda                | Civic Hatchback 2017-19  | Honda Sensing        | Yes     | Stock          | 0mph             | 12mph          | Bosch             |
+| Honda                | CR-V 2015-16             | Touring              | Yes     | Yes            | 25mph<sup>1</sup>| 12mph          | Nidec             |
+| Honda                | CR-V 2017-18             | Honda Sensing        | Yes     | Stock          | 0mph             | 12mph          | Bosch             |
+| Honda                | CR-V Hybrid 2019         | All                  | Yes     | Stock          | 0mph             | 12mph          | Bosch             |
+| Honda                | Odyssey 2017-19          | Honda Sensing        | Yes     | Yes            | 25mph<sup>1</sup>| 0mph           | Inverted Nidec    |
+| Honda                | Passport 2019            | All                  | Yes     | Yes            | 25mph<sup>1</sup>| 12mph          | Inverted Nidec    |
+| Honda                | Pilot 2016-18            | Honda Sensing        | Yes     | Yes            | 25mph<sup>1</sup>| 12mph          | Nidec             |
+| Honda                | Pilot 2019               | All                  | Yes     | Yes            | 25mph<sup>1</sup>| 12mph          | Inverted Nidec    |
+| Honda                | Ridgeline 2017-19        | Honda Sensing        | Yes     | Yes            | 25mph<sup>1</sup>| 12mph          | Nidec             |
+| Hyundai              | Santa Fe 2019            | All                  | Yes     | Stock          | 0mph             | 0mph           | Custom<sup>6</sup>|
+| Hyundai              | Elantra 2017             | SCC + LKAS           | Yes     | Stock          | 19mph            | 34mph          | Custom<sup>6</sup>|
+| Hyundai              | Genesis 2018             | All                  | Yes     | Stock          | 19mph            | 34mph          | Custom<sup>6</sup>|
+| Jeep                 | Grand Cherokee 2017-18   | Adaptive Cruise      | Yes     | Stock          | 0mph             | 9mph           | FCA               |
+| Jeep                 | Grand Cherokee 2019      | Adaptive Cruise      | Yes     | Stock          | 0mph             | 39mph          | FCA               |
+| Kia                  | Optima 2019              | SCC + LKAS           | Yes     | Stock          | 0mph             | 0mph           | Custom<sup>6</sup>|
+| Kia                  | Sorento 2018             | All                  | Yes     | Stock          | 0mph             | 0mph           | Custom<sup>6</sup>|
+| Kia                  | Stinger 2018             | SCC + LKAS           | Yes     | Stock          | 0mph             | 0mph           | Custom<sup>6</sup>|
+| Lexus                | RX Hybrid 2016-19        | All                  | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           | Toyota            |
+| Subaru               | Impreza 2019             | EyeSight             | Yes     | Stock          | 0mph             | 0mph           | Subaru            |
+| Toyota               | Camry 2018<sup>4</sup>   | All                  | Yes     | Stock          | 0mph<sup>5</sup> | 0mph           | Toyota            |
+| Toyota               | C-HR 2017-18<sup>4</sup> | All                  | Yes     | Stock          | 0mph             | 0mph           | Toyota            |
+| Toyota               | Corolla 2017-18          | All                  | Yes     | Yes<sup>2</sup>| 20mph<sup>1</sup>| 0mph           | Toyota            |
+| Toyota               | Highlander 2017-18       | All                  | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           | Toyota            |
+| Toyota               | Highlander Hybrid 2018   | All                  | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           | Toyota            |
+| Toyota               | Prius 2016               | TSS-P                | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           | Toyota            |
+| Toyota               | Prius 2017-19            | All                  | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           | Toyota            |
+| Toyota               | Prius Prime 2017-19      | All                  | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           | Toyota            |
+| Toyota               | Rav4 2016                | TSS-P                | Yes     | Yes<sup>2</sup>| 20mph<sup>1</sup>| 0mph           | Toyota            |
+| Toyota               | Rav4 2017-18             | All                  | Yes     | Yes<sup>2</sup>| 20mph<sup>1</sup>| 0mph           | Toyota            |
+| Toyota               | Rav4 Hybrid 2017-18      | All                  | Yes     | Yes<sup>2</sup>| 0mph             | 0mph           | Toyota            |
+
+<sup>1</sup>[Comma Pedal](https://community.comma.ai/wiki/index.php/Comma_Pedal) is used to provide stop-and-go capability to some of the openpilot-supported cars that don't currently support stop-and-go. Here is how to [build a Comma Pedal](https://medium.com/@jfrux/comma-pedal-building-with-macrofab-6328bea791e8). ***NOTE: The Comma Pedal is not officially supported by [comma.ai](https://comma.ai)***  
+<sup>2</sup>When disconnecting the Driver Support Unit (DSU), otherwise longitudinal control is stock ACC. For DSU locations, see [Toyota Wiki page](https://community.comma.ai/wiki/index.php/Toyota)  
+<sup>3</sup>[GM installation guide](https://zoneos.com/volt/).  
+<sup>4</sup>It needs an extra 120Ohm resistor ([pic1](https://i.imgur.com/CmdKtTP.jpg), [pic2](https://i.imgur.com/s2etUo6.jpg)) on bus 3 and giraffe switches set to 01X1 (11X1 for stock LKAS), where X depends on if you have the [comma power](https://comma.ai/shop/products/power/).  
+<sup>5</sup>28mph for Camry 4CYL L, 4CYL LE and 4CYL SE which don't have Full-Speed Range Dynamic Radar Cruise Control.  
+<sup>6</sup>Open sourced [Hyundai Giraffe](https://github.com/commaai/neo/tree/master/giraffe/hyundai) is designed for the 2019 Sante Fe; pinout may differ for other Hyundais.  
+<sup>7</sup>Community built Giraffe, find more information [here](https://zoneos.com/shop/).  
+
+Community Maintained Cars
+------
+
+| Make                 | Model                    | Supported Package    | Lateral | Longitudinal   | No Accel Below   | No Steer Below | Giraffe           |
+| ---------------------| -------------------------| ---------------------| --------| ---------------| -----------------| ---------------|-------------------|
+| Honda                | Fit 2018                 | Honda Sensing        | Yes     | Yes            | 25mph<sup>1</sup>| 12mph          | Inverted Nidec    |
+| Tesla                | Model S 2012-13          | All                  | Yes     | Not yet        | Not applicable   | 0mph           | Custom<sup>8</sup>|
+
+[[Honda Fit Pull Request]](https://github.com/commaai/openpilot/pull/266). <br />
+[[Tesla Model S Pull Request]](https://github.com/commaai/openpilot/pull/246) <br />
+<sup>8</sup>Community built Giraffe, find more information here [Community Tesla Giraffe](https://github.com/jeankalud/neo/tree/tesla_giraffe/giraffe/tesla) <br />
+
+Community Maintained Cars are not confirmed by comma.ai to meet our [safety model](https://github.com/commaai/openpilot/blob/devel/SAFETY.md). Be extra cautious using them.
+
+In Progress Cars
+------
+- All TSS-P Toyota with Steering Assist and LSS-P Lexus with Steering Assist or Lane Keep Assist.
+  - Only remaining Toyota cars with no port yet are the Avalon and the Sienna.
+- All Hyundai with SmartSense.
+- All Kia with SCC and LKAS.
+- All Chrysler, Jeep, Fiat with Adaptive Cruise Control and LaneSense.
+
+How can I add support for my car?
+------
+
+If your car has adaptive cruise control and lane keep assist, you are in luck. Using a [panda](https://comma.ai/shop/products/panda-obd-ii-dongle/) and [cabana](https://community.comma.ai/cabana/), you can understand how to make your car drive by wire.
+
+We've written guides for [Brand](https://medium.com/@comma_ai/how-to-write-a-car-port-for-openpilot-7ce0785eda84) and [Model](https://medium.com/@comma_ai/openpilot-port-guide-for-toyota-models-e5467f4b5fe6) ports. These guides might help you after you have the basics figured out.
+
+- BMW, Audi, Volvo, and Mercedes all use [FlexRay](https://en.wikipedia.org/wiki/FlexRay) and can be supported after [FlexRay support](https://github.com/commaai/openpilot/pull/463) is merged.
+- We put time into a Ford port, but the steering has a 10 second cutout limitation that makes it unusable.
+- The 2016-2017 Honda Accord uses a custom signaling protocol for steering that's unlikely to ever be upstreamed.
+
+Directory structure
+------
+    .
+    ├── apk                 # The apk files used for the UI
+    ├── cereal              # The messaging spec used for all logs on EON
+    ├── common              # Library like functionality we've developed here
+    ├── installer/updater   # Manages auto-updates of openpilot
+    ├── opendbc             # Files showing how to interpret data from cars
+    ├── panda               # Code used to communicate on CAN and LIN
+    ├── phonelibs           # Libraries used on EON
+    ├── pyextra             # Libraries used on EON
+    └── selfdrive           # Code needed to drive the car
+        ├── assets          # Fonts and images for UI
+        ├── boardd          # Daemon to talk to the board
+        ├── can             # Helpers for parsing CAN messages
+        ├── car             # Car specific code to read states and control actuators
+        ├── common          # Shared C/C++ code for the daemons
+        ├── controls        # Perception, planning and controls
+        ├── debug           # Tools to help you debug and do car ports
+        ├── locationd       # Soon to be home of precise location
+        ├── logcatd         # Android logcat as a service
+        ├── loggerd         # Logger and uploader of car data
+        ├── mapd            # Fetches map data and computes next global path
+        ├── orbd            # Computes ORB features from frames
+        ├── proclogd        # Logs information from proc
+        ├── sensord         # IMU / GPS interface code
+        ├── test            # Car simulator running code through virtual maneuvers
+        ├── ui              # The UI
+        └── visiond         # Vision pipeline
+
+To understand how the services interact, see `selfdrive/service_list.yaml`
+
+User Data / chffr Account / Crash Reporting
+------
+
+By default, openpilot creates an account and includes a client for chffr, our dashcam app. We use your data to train better models and improve openpilot for everyone.
+
+It's open source software, so you are free to disable it if you wish.
+
+It logs the road facing camera, CAN, GPS, IMU, magnetometer, thermal sensors, crashes, and operating system logs.
+The user facing camera is only logged if you explicitly opt-in in settings.
+It does not log the microphone.
+
+By using it, you agree to [our privacy policy](https://community.comma.ai/privacy.html). You understand that use of this software or its related services will generate certain types of user data, which may be logged and stored at the sole discretion of comma.ai. By accepting this agreement, you grant an irrevocable, perpetual, worldwide right to comma.ai for the use of this data.
+
+Testing on PC
+------
+
+Check out [openpilot-tools](https://github.com/commaai/openpilot-tools): lots of tools you can use to replay driving data, test and develop openpilot from your pc.
+
+Also, within openpilot there is a rudimentary infrastructure to run a basic simulation and generate a report of openpilot's behavior in different longitudinal control scenarios.
+
+```bash
+# Requires working docker
+./run_docker_tests.sh
+```
+
+Contributing
+------
+
+We welcome both pull requests and issues on [github](http://github.com/commaai/openpilot). Bug fixes and new car ports encouraged.
+
+We also have a [bounty program](https://comma.ai/bounties.html).
+
+Want to get paid to work on openpilot? [comma.ai is hiring](https://comma.ai/jobs/)
+
+Licensing
+------
+
+openpilot is released under the MIT license. Some parts of the software are released under other licenses as specified.
+
+Any user of this software shall indemnify and hold harmless Comma.ai, Inc. and its directors, officers, employees, agents, stockholders, affiliates, subcontractors and customers from and against all allegations, claims, actions, suits, demands, damages, liabilities, obligations, losses, settlements, judgments, costs and expenses (including without limitation attorneys’ fees and costs) which arise out of, relate to or result from any use of this software by user.
+
+**THIS IS ALPHA QUALITY SOFTWARE FOR RESEARCH PURPOSES ONLY. THIS IS NOT A PRODUCT.
+YOU ARE RESPONSIBLE FOR COMPLYING WITH LOCAL LAWS AND REGULATIONS.
+NO WARRANTY EXPRESSED OR IMPLIED.**
+
+---
+
+<img src="https://d1qb2nb5cznatu.cloudfront.net/startups/i/1061157-bc7e9bf3b246ece7322e6ffe653f6af8-medium_jpg.jpg?buster=1458363130" width="75"></img> <img src="https://cdn-images-1.medium.com/max/1600/1*C87EjxGeMPrkTuVRVWVg4w.png" width="225"></img>

README_chffrplus.md

@@ -0,0 +1,36 @@
+Welcome to chffrplus
+======
+
+[chffrplus](https://github.com/commaai/chffrplus) is an open source dashcam.
+
+This is the shipping reference software for the comma EON Dashcam DevKit. It keeps many of the niceities of [openpilot](https://github.com/commaai/openpilot), like high quality sensors, great camera, and good autostart and stop. Though unlike openpilot, it cannot control your car. chffrplus can interface with your car through a [panda](https://shop.comma.ai/products/panda-obd-ii-dongle), but just like our dashcam app [chffr](https://getchffr.com/), it is read only.
+
+It integrates with the rest of the comma ecosystem, so you can view your drives on the [chffr](https://getchffr.com/) app for Android or iOS, and reverse engineer your car with [cabana](https://community.comma.ai/cabana/?demo=1).
+
+
+Hardware
+------
+
+Right now chffrplus supports the [EON Dashcam DevKit](https://shop.comma.ai/products/eon-dashcam-devkit) for hardware to run on.
+
+Install chffrplus on a EON device by entering ``https://chffrplus.comma.ai`` during NEOS setup.
+
+
+User Data / chffr Account / Crash Reporting
+------
+
+By default chffrplus creates an account and includes a client for chffr, our dashcam app.
+
+It's open source software, so you are free to disable it if you wish. 
+
+It logs the road facing camera, CAN, GPS, IMU, magnetometer, thermal sensors, crashes, and operating system logs.
+It does not log the user facing camera or the microphone.
+
+By using it, you agree to [our privacy policy](https://beta.comma.ai/privacy.html). You understand that use of this software or its related services will generate certain types of user data, which may be logged and stored at the sole discretion of comma.ai. By accepting this agreement, you grant an irrevocable, perpetual, worldwide right to comma.ai for the use of this data.
+
+
+Licensing
+------
+
+chffrplus is released under the MIT license.
+

RELEASES.md

@@ -0,0 +1,372 @@
+Version 0.5.11 (2019-04-17)
+========================
+ * Add support for Subaru
+ * Reduce panda power consumption by 60% when car is off
+ * Fix controlsd lag every 6 minutes. This would sometimes cause disengagements
+ * Fix bug in controls with new angle-offset learner in MPC
+ * Reduce cpu consumption of ubloxd by rewriting it in C++
+ * Improve driver monitoring model and face detection
+ * Improve performance of visiond and ui
+ * Honda Passport 2019 support
+ * Lexus RX Hybrid 2019 support thanks to schomems!
+ * Improve road selection heuristic in mapd
+ * Add Lane Departure Warning to dashboard for Toyota thanks to arne182
+
+Version 0.5.10 (2019-03-19)
+========================
+ * Self-tuning vehicle parameters: steering offset, tire stiffness and steering ratio
+ * Improve longitudinal control at low speed when lead vehicle harshly decelerates
+ * Fix panda bug going unexpectedly in DCP mode when EON is connected
+ * Reduce white panda power consumption by 500mW when EON is disconnected by turning off WIFI
+ * New Driver Monitoring Model
+ * Support QR codes for login using comma connect
+ * Refactor comma pedal FW and use CRC-8 checksum algorithm for safety. Reflashing pedal is required.
+   Please see `#hw-pedal` on [discord](discord.comma.ai) for assistance updating comma pedal.
+ * Additional speed limit rules for Germany thanks to arne182
+ * Allow negative speed limit offsets
+
+Version 0.5.9 (2019-02-10)
+========================
+ * Improve calibration using a dedicated neural network
+ * Abstract planner in its own process to remove lags in controls process
+ * Improve speed limits with country/region defaults by road type
+ * Reduce mapd data usage with gzip thanks to eFiniLan
+ * Zip log files in the background to reduce disk usage
+ * Kia Optima support thanks to emmertex!
+ * Buick Regal 2018 support thanks to HOYS!
+ * Comma pedal support for Toyota thanks to wocsor! Note: tuning needed and not maintained by comma
+ * Chrysler Pacifica and Jeep Grand Cherokee support thanks to adhintz!
+
+Version 0.5.8 (2019-01-17)
+========================
+ * Open sourced visiond
+ * Auto-slowdown for upcoming turns
+ * Chrysler/Jeep/Fiat support thanks to adhintz!
+ * Honda Civic 2019 support thanks to csouers!
+ * Improve use of car display in Toyota thanks to arne182!
+ * No data upload when connected to Android or iOS hotspots and "Enable Upload Over Cellular" setting is off
+ * EON stops charging when 12V battery drops below 11.8V
+
+Version 0.5.7 (2018-12-06)
+========================
+ * Speed limit from OpenStreetMap added to UI
+ * Highlight speed limit when speed exceeds road speed limit plus a delta
+ * Option to limit openpilot max speed to road speed limit plus a delta
+ * Cadillac ATS support thanks to vntarasov!
+ * GMC Acadia support thanks to CryptoKylan!
+ * Decrease GPU power consumption
+ * NEOSv8 autoupdate
+
+Version 0.5.6 (2018-11-16)
+========================
+ * Refresh settings layout and add feature descriptions
+ * In Honda, keep stock camera on for logging and extra stock features; new openpilot giraffe setting is 0111!
+ * In Toyota, option to keep stock camera on for logging and extra stock features (e.g. AHB); 120Ohm resistor required on giraffe.
+ * Improve camera calibration stability
+ * More tuning to Honda positive accelerations
+ * Reduce brake pump use on Hondas
+ * Chevrolet Malibu support thanks to tylergets!
+ * Holden Astra support thanks to AlexHill!
+
+Version 0.5.5 (2018-10-20)
+========================
+ * Increase allowed Honda positive accelerations
+ * Fix sporadic unexpected braking when passing semi-trucks in Toyota
+ * Fix gear reading bug in Hyundai Elantra thanks to emmertex!
+
+Version 0.5.4 (2018-09-25)
+========================
+ * New Driving Model
+ * New Driver Monitoring Model
+ * Improve longitudinal mpc in mid-low speed braking
+ * Honda Accord hybrid support thanks to energee!
+ * Ship mpc binaries and sensibly reduce build time
+ * Calibration more stable
+ * More Hyundai and Kia cars supported thanks to emmertex!
+ * Various GM Volt improvements thanks to vntarasov!
+
+Version 0.5.3 (2018-09-03)
+========================
+ * Hyundai Santa Fe support!
+ * Honda Pilot 2019 support thanks to energee!
+ * Toyota Highlander support thanks to daehahn!
+ * Improve steering tuning for Honda Odyssey
+
+Version 0.5.2 (2018-08-16)
+========================
+ * New calibration: more accurate, a lot faster, open source!
+ * Enable orbd
+ * Add little endian support to CAN packer
+ * Fix fingerprint for Honda Accord 1.5T
+ * Improve driver monitoring model
+
+Version 0.5.1 (2018-08-01)
+========================
+ * Fix radar error on Civic sedan 2018
+ * Improve thermal management logic
+ * Alpha Toyota C-HR and Camry support!
+ * Auto-switch Driver Monitoring to 3 min counter when inaccurate
+
+Version 0.5 (2018-07-11)
+========================
+ * Driver Monitoring (beta) option in settings!
+ * Make visiond, loggerd and UI use less resources
+ * 60 FPS UI
+ * Better car parameters for most cars
+ * New sidebar with stats
+ * Remove Waze and Spotify to free up system resources
+ * Remove rear view mirror option
+ * Calibration 3x faster
+
+Version 0.4.7.2 (2018-06-25)
+==========================
+ * Fix loggerd lag issue
+ * No longer prompt for updates
+ * Mitigate right lane hugging for properly mounted EON (procedure on wiki)
+
+Version 0.4.7.1 (2018-06-18)
+==========================
+ * Fix Acura ILX steer faults
+ * Fix bug in mock car
+
+Version 0.4.7 (2018-06-15)
+==========================
+ * New model!
+ * GM Volt (and CT6 lateral) support!
+ * Honda Bosch lateral support!
+ * Improve actuator modeling to reduce lateral wobble
+ * Minor refactor of car abstraction layer
+ * Hack around orbd startup issue
+
+Version 0.4.6 (2018-05-18)
+==========================
+ * NEOSv6 required! Will autoupdate
+ * Stability improvements
+ * Fix all memory leaks
+ * Update C++ compiler to clang6
+ * Improve front camera exposure
+
+Version 0.4.5 (2018-04-27)
+==========================
+ * Release notes added to the update popup
+ * Improve auto shut-off logic to disallow empty battery
+ * Added onboarding instructions
+ * Include orbd, the first piece of new calibration algorithm
+ * Show remaining upload data instead of file numbers
+ * Fix UI bugs
+ * Fix memory leaks
+
+Version 0.4.4 (2018-04-13)
+==========================
+ * EON are flipped! Flip your EON's mount!
+ * Alpha Honda Ridgeline support thanks to energee!
+ * Support optional front camera recording
+ * Upload over cellular toggle now applies to all files, not just video
+ * Increase acceleration when closing lead gap
+ * User now prompted for future updates
+ * NEO no longer supported :(
+
+Version 0.4.3.2 (2018-03-29)
+============================
+ * Improve autofocus
+ * Improve driving when only one lane line is detected
+ * Added fingerprint for Toyota Corolla LE
+ * Fixed Toyota Corolla steer error
+ * Full-screen driving UI
+ * Improved path drawing
+
+Version 0.4.3.1 (2018-03-19)
+============================
+ * Improve autofocus
+ * Add check for MPC solution error
+ * Make first distracted warning visual only
+
+Version 0.4.3 (2018-03-13)
+==========================
+ * Add HDR and autofocus
+ * Update UI aesthetic
+ * Grey panda works in Waze
+ * Add alpha support for 2017 Honda Pilot
+ * Slight increase in acceleration response from stop
+ * Switch CAN sending to use CANPacker
+ * Fix pulsing acceleration regression on Honda
+ * Fix openpilot bugs when stock system is in use
+ * Change starting logic for chffrplus to use battery voltage
+
+Version 0.4.2 (2018-02-05)
+==========================
+ * Add alpha support for 2017 Lexus RX Hybrid
+ * Add alpha support for 2018 ACURA RDX
+ * Updated fingerprint to include Toyota Rav4 SE and Prius Prime
+ * Bugfixes for Acura ILX and Honda Odyssey
+
+Version 0.4.1 (2018-01-30)
+==========================
+ * Add alpha support for 2017 Toyota Corolla
+ * Add alpha support for 2018 Honda Odyssey with Honda Sensing
+ * Add alpha support for Grey Panda
+ * Refactored car abstraction layer to make car ports easier
+ * Increased steering torque limit on Honda CR-V by 30%
+
+Version 0.4.0.2 (2018-01-18)
+==========================
+ * Add focus adjustment slider
+ * Minor bugfixes
+
+Version 0.4.0.1 (2017-12-21)
+==========================
+ * New UI to match chffrplus
+ * Improved lateral control tuning to fix oscillations on Civic
+ * Add alpha support for 2017 Toyota Rav4 Hybrid
+ * Reduced CPU usage
+ * Removed unnecessary utilization of fan at max speed
+ * Minor bug fixes
+
+Version 0.3.9 (2017-11-21)
+==========================
+ * Add alpha support for 2017 Toyota Prius
+ * Improved longitudinal control using model predictive control
+ * Enable Forward Collision Warning
+ * Acura ILX now maintains openpilot engaged at standstill when brakes are applied
+
+Version 0.3.8.2 (2017-10-30)
+==========================
+ * Add alpha support for 2017 Toyota RAV4
+ * Smoother lateral control
+ * Stay silent if stock system is connected through giraffe
+ * Minor bug fixes
+
+Version 0.3.7 (2017-09-30)
+==========================
+ * Improved lateral control using model predictive control
+ * Improved lane centering
+ * Improved GPS
+ * Reduced tendency of path deviation near right side exits
+ * Enable engagement while the accelerator pedal is pressed
+ * Enable engagement while the brake pedal is pressed, when stationary and with lead vehicle within 5m
+ * Disable engagement when park brake or brake hold are active
+ * Fixed sporadic longitudinal pulsing in Civic
+ * Cleanups to vehicle interface
+
+Version 0.3.6.1 (2017-08-15)
+============================
+ * Mitigate low speed steering oscillations on some vehicles
+ * Include board steering check for CR-V
+
+Version 0.3.6 (2017-08-08)
+==========================
+ * Fix alpha CR-V support
+ * Improved GPS
+ * Fix display of target speed not always matching HUD
+ * Increased acceleration after stop
+ * Mitigated some vehicles driving too close to the right line
+
+Version 0.3.5 (2017-07-30)
+==========================
+ * Fix bug where new devices would not begin calibration
+ * Minor robustness improvements
+
+Version 0.3.4 (2017-07-28)
+==========================
+ * Improved model trained on more data
+ * Much improved controls tuning
+ * Performance improvements
+ * Bugfixes and improvements to calibration
+ * Driving log can play back video
+ * Acura only: system now stays engaged below 25mph as long as brakes are applied
+
+Version 0.3.3  (2017-06-28)
+===========================
+  * Improved model trained on more data
+  * Alpha CR-V support thanks to energee and johnnwvs!
+  * Using the opendbc project for DBC files
+  * Minor performance improvements
+  * UI update thanks to pjlao307
+  * Power off button
+  * 6% more torque on the Civic
+
+Version 0.3.2  (2017-05-22)
+===========================
+  * Minor stability bugfixes
+  * Added metrics and rear view mirror disable to settings
+  * Update model with more crowdsourced data
+
+Version 0.3.1  (2017-05-17)
+===========================
+  * visiond stability bugfix
+  * Add logging for angle and flashing
+
+Version 0.3.0  (2017-05-12)
+===========================
+  * Add CarParams struct to improve the abstraction layer
+  * Refactor visiond IPC to support multiple clients
+  * Add raw GPS and beginning support for navigation
+  * Improve model in visiond using crowdsourced data
+  * Add improved system logging to diagnose instability
+  * Rewrite baseui in React Native
+  * Moved calibration to the cloud
+
+Version 0.2.9  (2017-03-01)
+===========================
+  * Retain compatibility with NEOS v1
+
+Version 0.2.8  (2017-02-27)
+===========================
+  * Fix bug where frames were being dropped in minute 71
+
+Version 0.2.7  (2017-02-08)
+===========================
+  * Better performance and pictures at night
+  * Fix ptr alignment issue in boardd
+  * Fix brake error light, fix crash if too cold
+
+Version 0.2.6  (2017-01-31)
+===========================
+  * Fix bug in visiond model execution
+
+Version 0.2.5  (2017-01-30)
+===========================
+  * Fix race condition in manager
+
+Version 0.2.4  (2017-01-27)
+===========================
+  * OnePlus 3T support
+  * Enable installation as NEOS app
+  * Various minor bugfixes
+
+Version 0.2.3  (2017-01-11)
+===========================
+  * Reduce space usage by 80%
+  * Add better logging
+  * Add Travis CI
+
+Version 0.2.2  (2017-01-10)
+===========================
+  * Board triggers started signal on CAN messages
+  * Improved autoexposure
+  * Handle out of space, improve upload status
+
+Version 0.2.1  (2016-12-14)
+===========================
+  * Performance improvements, removal of more numpy
+  * Fix boardd process priority
+  * Make counter timer reset on use of steering wheel
+
+Version 0.2  (2016-12-12)
+=========================
+  * Car/Radar abstraction layers have shipped, see cereal/car.capnp
+  * controlsd has been refactored
+  * Shipped plant model and testing maneuvers
+  * visiond exits more gracefully now
+  * Hardware encoder in visiond should always init
+  * ui now turns off the screen after 30 seconds
+  * Switch to openpilot release branch for future releases
+  * Added preliminary Docker container to run tests on PC
+
+Version 0.1  (2016-11-29)
+=========================
+  * Initial release of openpilot
+  * Adaptive cruise control is working
+  * Lane keep assist is working
+  * Support for Acura ILX 2016 with AcuraWatch Plus
+  * Support for Honda Civic 2016 Touring Edition

SAFETY.md

@@ -0,0 +1,151 @@
+openpilot Safety
+======
+
+openpilot is an Adaptive Cruise Control (ACC) and Lane Keeping Assist (LKA) system. 
+Like other ACC and LKA systems, openpilot requires the driver to be alert and to 
+pay attention at all times. We repeat, **driver alertness is necessary, but not 
+sufficient, for openpilot to be used safely**.
+
+In order to enforce driver alertness, openpilot includes a driver monitoring feature
+that alerts the driver when distracted.
+
+However, even with an attentive driver, we must make further efforts for the system to be
+safe. We have designed openpilot with two other safety considerations.
+
+1. The driver must always be capable to immediately retake manual control of the vehicle, 
+   by stepping on either pedal or by pressing the cancel button.
+2. The vehicle must not alter its trajectory too quickly for the driver to safely
+   react. This means that while the system is engaged, the actuators are constrained
+   to operate within reasonable limits.
+
+Following are details of the car specific safety implementations:
+
+Honda/Acura
+------
+
+  - While the system is engaged, gas, brake and steer commands are subject to the same limits used by
+    the stock system.
+
+  - Without an interceptor, the gas is controlled by the Powertrain Control Module (PCM). 
+    The PCM limits acceleration to what is reasonable for a cruise control system.  With an
+    interceptor, the gas is clipped to 60%.
+
+  - The brake is controlled by the 0x1FA CAN message. This message allows full
+    braking, although the panda firmware and openpilot clip it to 1/4th of the max.
+    This is approximately 0.3g of braking.
+
+  - Steering is controlled by the 0xE4 CAN message. The Electronic Power Steering (EPS) 
+    controller in the car limits the torque to a very small amount, so regardless of the 
+    message, the controller cannot jerk the wheel.
+
+  - Brake and gas pedal pressed signals are contained in the 0x17C CAN message. A rising edge of
+    either signals triggers a disengagement, which is enforced by the panda firmware and by openpilot. The
+    white led on the panda signifies if the panda is allowing control messages.
+
+  - Honda CAN uses both a counter and a checksum to ensure integrity and prevent
+    replay of the same message.
+
+Toyota/Lexus
+------
+
+  - While the system is engaged, gas, brake and steer commands are subject to the same limits used by
+    the stock system.
+
+  - With the stock Driving Support Unit (DSU) connected (or in DSU-less models like Camry and C-HR),
+    the acceleration is controlled by the stock system and is subject to the stock adaptive cruise
+    control limits. Without the stock DSU connected, the acceleration command is controlled by the
+    0x343 CAN message and its value is limited between .3g of deceleration and .15g of acceleration
+    by the panda firmware and by openpilot. The acceleration command is ignored by the Engine Control
+    Module (ECM) while the cruise control system is disengaged.
+
+  - Steering torque is controlled through the 0x2E4 CAN message and it's limited by the panda firmware and by
+    openpilot to a value between -1500 and 1500. In addition, the vehicle EPS unit will not respond to
+    commands outside these limits.  A steering torque rate limit is enforced by the panda firmware and by
+    openpilot, so that the commanded steering torque must rise from 0 to max value no faster than
+    1.5s. Commanded steering torque is limited by the panda firmware and by openpilot to be no more than 350
+    units above the actual EPS generated motor torque to ensure limited differences between
+    commanded and actual torques.
+
+  - Brake and gas pedal pressed signals are contained in the 0x224 and 0x1D2 CAN messages,
+    respectively. A rising edge of either signals triggers a disengagement, which is enforced by the
+    panda firmware and by openpilot. Additionally, the cruise control system disengages on the rising edge of
+    the brake pedal pressed signal.
+
+  - The cruise control system state is contained in the 0x1D2 message. No control messages are
+    allowed if the cruise control system is not active. This is enforced by openpilot and the
+    panda firmware. The white led on the panda signifies if the panda is allowing control messages.
+
+GM/Chevrolet
+------
+
+  - While the system is engaged, gas, brake and steer commands are subject to the same limits used by
+    the stock system.
+
+  - The gas and regen are controlled by the 0x2CB message and it's limited by the panda firmware and by
+    openpilot to a value between 1404 and 3072. the minimum value correspond to a mild decel due to regen,
+    while 3072 correspond to approximately 0.18g of acceleration from stop.
+
+  - The friction brakes are controlled by the 0x315 message and its value is limited by the panda firmware
+    and openpilot to 350. This is approximately 0.3g of braking.
+
+  - Steering torque is controlled through the 0x180 CAN message and it's limited by the panda firmware and by
+    openpilot to a value between -300 and 300. In addition, the vehicle EPS unit will fault for
+    commands outside these limits.  A steering torque rate limit is enforced by the panda firmware and by
+    openpilot, so that the commanded steering torque must rise from 0 to max value no faster than
+    0.75s. Commanded steering torque is gradually limited by the panda firmware and by openpilot if the driver's
+    torque exceeds 12 units in the opposite dicrection to ensure limited applied torque against the
+    driver's will.
+
+  - Brake pedal and gas pedal potentiometer signals are contained in the 0xF1 and 0x1A1 CAN messages,
+    respectively. A rising edge of either signals triggers a disengagement, which is enforced by the
+    panda firmware and by openpilot. Additionally, the cruise control system disengages on the rising edge of
+    the brake pedal pressed signal. The regen paddle pressed signal is in the 0xBD message. When the
+    regen paddle is pressed, a disengagement is enforced by both the firmware and by openpilot.
+
+  - GM CAN uses both a counter and a checksum to ensure integrity and prevent
+    replay of the same message.
+
+Hyundai/Kia (Lateral only)
+------
+
+  - While the system is engaged, steer commands are subject to the same limits used by
+    the stock system.
+
+  - Steering torque is controlled through the 0x340 CAN message and it's limited by the panda firmware and by
+    openpilot to a value between -255 and 255. In addition, the vehicle EPS unit will fault for
+    commands outside the values of -409 and 409. A steering torque rate limit is enforced by the panda firmware and by
+    openpilot, so that the commanded steering torque must rise from 0 to max value no faster than
+    0.85s. Commanded steering torque is gradually limited by the panda firmware and by openpilot if the driver's
+    torque exceeds 50 units in the opposite dicrection to ensure limited applied torque against the
+    driver's will.
+
+Chrysler/Jeep/Fiat (Lateral only)
+------
+
+  - While the system is engaged, steer commands are subject to the same limits used by
+    the stock system.
+
+  - Steering torque is controlled through the 0x292 CAN message and it's limited by the panda firmware and by
+    openpilot to a value between -261 and 261. In addition, the vehicle EPS unit will fault for
+    commands outside these limits. A steering torque rate limit is enforced by the panda firmware and by
+    openpilot, so that the commanded steering torque must rise from 0 to max value no faster than
+    0.87s. Commanded steering torque is limited by the panda firmware and by openpilot to be no more than 80
+    units above the actual EPS generated motor torque to ensure limited differences between
+    commanded and actual torques.
+
+Subaru (Lateral only)
+------
+
+  - While the system is engaged, steer commands are subject to the same limits used by
+    the stock system.
+
+  - Steering torque is controlled through the 0x122 CAN message and it's limited by the panda firmware and by
+    openpilot to a value between -255 and 255. In addition, the vehicle EPS unit will fault for
+    commands outside the values of -2047 and 2047. A steering torque rate limit is enforced by the panda firmware and by
+    openpilot, so that the commanded steering torque must rise from 0 to max value no faster than
+    0.41s. Commanded steering torque is gradually limited by the panda firmware and by openpilot if the driver's
+    torque exceeds 60 units in the opposite dicrection to ensure limited applied torque against the
+    driver's will.
+
+**Extra note**: comma.ai strongly discourages the use of openpilot forks with safety code either missing or
+  not fully meeting the above requirements.

cereal/.gitignore

@@ -0,0 +1,3 @@
+gen
+node_modules
+package-lock.json

cereal/Makefile

@@ -0,0 +1,62 @@
+PWD := $(shell pwd)
+
+SRCS := log.capnp car.capnp
+
+GENS := gen/cpp/car.capnp.c++ gen/cpp/log.capnp.c++
+JS := gen/js/car.capnp.js gen/js/log.capnp.js
+
+UNAME_M ?= $(shell uname -m)
+# only generate C++ for docker tests
+ifneq ($(OPTEST),1)
+	GENS += gen/c/car.capnp.c gen/c/log.capnp.c gen/c/include/c++.capnp.h gen/c/include/java.capnp.h
+
+	ifeq ($(UNAME_M),x86_64)
+		ifneq (, $(shell which capnpc-java))
+			GENS += gen/java/Car.java gen/java/Log.java
+    else
+      $(warning capnpc-java not found, skipping java build)
+		endif
+	endif
+
+endif
+
+ifeq ($(UNAME_M),aarch64)
+	CAPNPC=PATH=$(PWD)/../phonelibs/capnp-cpp/aarch64/bin/:$$PATH capnpc
+else
+	CAPNPC=capnpc
+endif
+
+.PHONY: all
+all: $(GENS)
+js: $(JS)
+
+.PHONY: clean
+clean:
+	rm -rf gen
+	rm -rf node_modules
+	rm -rf package-lock.json
+
+gen/c/%.capnp.c: %.capnp
+	@echo "[ CAPNPC C ] $@"
+	mkdir -p gen/c/
+	$(CAPNPC) '$<' -o c:gen/c/
+
+gen/js/%.capnp.js: %.capnp
+	@echo "[ CAPNPC JavaScript ] $@"
+	mkdir -p gen/js/
+	sh ./generate_javascript.sh
+
+gen/cpp/%.capnp.c++: %.capnp
+	@echo "[ CAPNPC C++ ] $@"
+	mkdir -p gen/cpp/
+	$(CAPNPC) '$<' -o c++:gen/cpp/
+
+gen/java/Car.java gen/java/Log.java: $(SRCS)
+	@echo "[ CAPNPC java ] $@"
+	mkdir -p gen/java/
+	$(CAPNPC) $^ -o java:gen/java
+
+# c-capnproto needs some empty headers
+gen/c/include/c++.capnp.h gen/c/include/java.capnp.h:
+	mkdir -p gen/c/include
+	touch '$@'

cereal/__init__.py

@@ -0,0 +1,8 @@
+import os
+import capnp
+
+CEREAL_PATH = os.path.dirname(os.path.abspath(__file__))
+capnp.remove_import_hook()
+
+log = capnp.load(os.path.join(CEREAL_PATH, "log.capnp"))
+car = capnp.load(os.path.join(CEREAL_PATH, "car.capnp"))

cereal/car.capnp

@@ -0,0 +1,370 @@
+using Cxx = import "./include/c++.capnp";
+$Cxx.namespace("cereal");
+
+using Java = import "./include/java.capnp";
+$Java.package("ai.comma.openpilot.cereal");
+$Java.outerClassname("Car");
+
+@0x8e2af1e708af8b8d;
+
+# ******* events causing controls state machine transition *******
+
+struct CarEvent @0x9b1657f34caf3ad3 {
+  name @0 :EventName;
+  enable @1 :Bool;
+  noEntry @2 :Bool;
+  warning @3 :Bool;
+  userDisable @4 :Bool;
+  softDisable @5 :Bool;
+  immediateDisable @6 :Bool;
+  preEnable @7 :Bool;
+  permanent @8 :Bool;
+
+  enum EventName @0xbaa8c5d505f727de {
+    # TODO: copy from error list
+    commIssue @0;
+    steerUnavailable @1;
+    brakeUnavailable @2;
+    gasUnavailable @3;
+    wrongGear @4;
+    doorOpen @5;
+    seatbeltNotLatched @6;
+    espDisabled @7;
+    wrongCarMode @8;
+    steerTempUnavailable @9;
+    reverseGear @10;
+    buttonCancel @11;
+    buttonEnable @12;
+    pedalPressed @13;
+    cruiseDisabled @14;
+    radarCommIssue @15;
+    dataNeeded @16;
+    speedTooLow @17;
+    outOfSpace @18;
+    overheat @19;
+    calibrationIncomplete @20;
+    calibrationInvalid @21;
+    controlsMismatch @22;
+    pcmEnable @23;
+    pcmDisable @24;
+    noTarget @25;
+    radarFault @26;
+    modelCommIssue @27;
+    brakeHold @28;
+    parkBrake @29;
+    manualRestart @30;
+    lowSpeedLockout @31;
+    plannerError @32;
+    ipasOverride @33;
+    debugAlert @34;
+    steerTempUnavailableMute @35;
+    resumeRequired @36;
+    preDriverDistracted @37;
+    promptDriverDistracted @38;
+    driverDistracted @39;
+    geofence @40;
+    driverMonitorOn @41;
+    driverMonitorOff @42;
+    preDriverUnresponsive @43;
+    promptDriverUnresponsive @44;
+    driverUnresponsive @45;
+    belowSteerSpeed @46;
+    calibrationProgress @47;
+    lowBattery @48;
+    invalidGiraffeHonda @49;
+    vehicleModelInvalid @50;
+  }
+}
+
+# ******* main car state @ 100hz *******
+# all speeds in m/s
+
+struct CarState {
+  errorsDEPRECATED @0 :List(CarEvent.EventName);
+  events @13 :List(CarEvent);
+
+  # car speed
+  vEgo @1 :Float32;         # best estimate of speed
+  aEgo @16 :Float32;        # best estimate of acceleration
+  vEgoRaw @17 :Float32;     # unfiltered speed from CAN sensors
+  yawRate @22 :Float32;     # best estimate of yaw rate
+  standstill @18 :Bool;
+  wheelSpeeds @2 :WheelSpeeds;
+
+  # gas pedal, 0.0-1.0
+  gas @3 :Float32;        # this is user + computer
+  gasPressed @4 :Bool;    # this is user pedal only
+
+  # brake pedal, 0.0-1.0
+  brake @5 :Float32;      # this is user pedal only
+  brakePressed @6 :Bool;  # this is user pedal only
+  brakeLights @19 :Bool;
+
+  # steering wheel
+  steeringAngle @7 :Float32;   # deg
+  steeringRate @15 :Float32;   # deg/s
+  steeringTorque @8 :Float32;  # TODO: standardize units
+  steeringPressed @9 :Bool;    # if the user is using the steering wheel
+
+  # cruise state
+  cruiseState @10 :CruiseState;
+
+  # gear
+  gearShifter @14 :GearShifter;
+
+  # button presses
+  buttonEvents @11 :List(ButtonEvent);
+  leftBlinker @20 :Bool;
+  rightBlinker @21 :Bool;
+  genericToggle @23 :Bool;
+
+  # lock info
+  doorOpen @24 :Bool;
+  seatbeltUnlatched @25 :Bool;
+
+  # which packets this state came from
+  canMonoTimes @12: List(UInt64);
+
+  struct WheelSpeeds {
+    # optional wheel speeds
+    fl @0 :Float32;
+    fr @1 :Float32;
+    rl @2 :Float32;
+    rr @3 :Float32;
+  }
+
+  struct CruiseState {
+    enabled @0 :Bool;
+    speed @1 :Float32;
+    available @2 :Bool;
+    speedOffset @3 :Float32;
+    standstill @4 :Bool;
+  }
+
+  enum GearShifter {
+    unknown @0;
+    park @1;
+    drive @2;
+    neutral @3;
+    reverse @4;
+    sport @5;
+    low @6;
+    brake @7;
+  }
+
+
+  # send on change
+  struct ButtonEvent {
+    pressed @0 :Bool;
+    type @1 :Type;
+
+    enum Type {
+      unknown @0;
+      leftBlinker @1;
+      rightBlinker @2;
+      accelCruise @3;
+      decelCruise @4;
+      cancel @5;
+      altButton1 @6;
+      altButton2 @7;
+      altButton3 @8;
+    }
+  }
+}
+
+# ******* radar state @ 20hz *******
+
+struct RadarState {
+  errors @0 :List(Error);
+  points @1 :List(RadarPoint);
+
+  # which packets this state came from
+  canMonoTimes @2 :List(UInt64);
+
+  enum Error {
+    commIssue @0;
+    fault @1;
+    wrongConfig @2;
+  }
+
+  # similar to LiveTracks
+  # is one timestamp valid for all? I think so
+  struct RadarPoint {
+    trackId @0 :UInt64;  # no trackId reuse
+
+    # these 3 are the minimum required
+    dRel @1 :Float32; # m from the front bumper of the car
+    yRel @2 :Float32; # m
+    vRel @3 :Float32; # m/s
+
+    # these are optional and valid if they are not NaN
+    aRel @4 :Float32; # m/s^2
+    yvRel @5 :Float32; # m/s
+
+    # some radars flag measurements VS estimates
+    measured @6 :Bool;
+  }
+}
+
+# ******* car controls @ 100hz *******
+
+struct CarControl {
+  # must be true for any actuator commands to work
+  enabled @0 :Bool;
+  active @7 :Bool;
+
+  gasDEPRECATED @1 :Float32;
+  brakeDEPRECATED @2 :Float32;
+  steeringTorqueDEPRECATED @3 :Float32;
+
+  actuators @6 :Actuators;
+
+  cruiseControl @4 :CruiseControl;
+  hudControl @5 :HUDControl;
+
+  struct Actuators {
+    # range from 0.0 - 1.0
+    gas @0: Float32;
+    brake @1: Float32;
+    # range from -1.0 - 1.0
+    steer @2: Float32;
+    steerAngle @3: Float32;
+  }
+
+  struct CruiseControl {
+    cancel @0: Bool;
+    override @1: Bool;
+    speedOverride @2: Float32;
+    accelOverride @3: Float32;
+  }
+
+  struct HUDControl {
+    speedVisible @0: Bool;
+    setSpeed @1: Float32;
+    lanesVisible @2: Bool;
+    leadVisible @3: Bool;
+    visualAlert @4: VisualAlert;
+    audibleAlert @5: AudibleAlert;
+    rightLaneVisible @6: Bool;
+    leftLaneVisible @7: Bool;
+    rightLaneDepart @8: Bool;
+    leftLaneDepart @9: Bool;
+
+    enum VisualAlert {
+      # these are the choices from the Honda
+      # map as good as you can for your car
+      none @0;
+      fcw @1;
+      steerRequired @2;
+      brakePressed @3;
+      wrongGear @4;
+      seatbeltUnbuckled @5;
+      speedTooHigh @6;
+    }
+
+    enum AudibleAlert {
+      # these are the choices from the Honda
+      # map as good as you can for your car
+      none @0;
+      chimeEngage @1;
+      chimeDisengage @2;
+      chimeError @3;
+      chimeWarning1 @4;
+      chimeWarning2 @5;
+      chimeWarningRepeat @6;
+      chimePrompt @7;
+    }
+  }
+}
+
+# ****** car param ******
+
+struct CarParams {
+  carName @0 :Text;
+  radarNameDEPRECATED @1 :Text;
+  carFingerprint @2 :Text;
+
+  enableSteerDEPRECATED @3 :Bool;
+  enableGasInterceptor @4 :Bool;
+  enableBrakeDEPRECATED @5 :Bool;
+  enableCruise @6 :Bool;
+  enableCamera @26 :Bool;
+  enableDsu @27 :Bool; # driving support unit
+  enableApgs @28 :Bool; # advanced parking guidance system
+
+  minEnableSpeed @17 :Float32;
+  minSteerSpeed @49 :Float32;
+  safetyModel @18 :Int16;
+  safetyParam @41 :Int16;
+
+  steerMaxBP @19 :List(Float32);
+  steerMaxV @20 :List(Float32);
+  gasMaxBP @21 :List(Float32);
+  gasMaxV @22 :List(Float32);
+  brakeMaxBP @23 :List(Float32);
+  brakeMaxV @24 :List(Float32);
+
+  longPidDeadzoneBP @32 :List(Float32);
+  longPidDeadzoneV @33 :List(Float32);
+
+  enum SafetyModels {
+    # does NOT match board setting
+    noOutput @0;
+    honda @1;
+    toyota @2;
+    elm327 @3;
+    gm @4;
+    hondaBosch @5;
+    ford @6;
+    cadillac @7;
+    hyundai @8;
+    chrysler @9;
+    tesla @10;
+    subaru @11;
+  }
+
+  # things about the car in the manual
+  mass @7 :Float32;             # [kg] running weight
+  wheelbase @8 :Float32;        # [m] distance from rear to front axle
+  centerToFront @9 :Float32;   # [m] GC distance to front axle
+  steerRatio @10 :Float32;       # [] ratio between front wheels and steering wheel angles
+  steerRatioRear @11 :Float32;  # [] rear steering ratio wrt front steering (usually 0)
+
+  # things we can derive
+  rotationalInertia @12 :Float32;    # [kg*m2] body rotational inertia
+  tireStiffnessFront @13 :Float32;   # [N/rad] front tire coeff of stiff
+  tireStiffnessRear @14 :Float32;    # [N/rad] rear tire coeff of stiff
+
+  # Kp and Ki for the lateral control
+  steerKpBP @42 :List(Float32);
+  steerKpV @43 :List(Float32);
+  steerKiBP @44 :List(Float32);
+  steerKiV @45 :List(Float32);
+  steerKpDEPRECATED @15 :Float32;
+  steerKiDEPRECATED @16 :Float32;
+  steerKf @25 :Float32;
+
+  # Kp and Ki for the longitudinal control
+  longitudinalKpBP @36 :List(Float32);
+  longitudinalKpV @37 :List(Float32);
+  longitudinalKiBP @38 :List(Float32);
+  longitudinalKiV @39 :List(Float32);
+
+  steerLimitAlert @29 :Bool;
+
+  vEgoStopping @30 :Float32; # Speed at which the car goes into stopping state
+  directAccelControl @31 :Bool; # Does the car have direct accel control or just gas/brake
+  stoppingControl @34 :Bool; # Does the car allows full control even at lows speeds when stopping
+  startAccel @35 :Float32; # Required acceleraton to overcome creep braking
+  steerRateCost @40 :Float32; # Lateral MPC cost on steering rate
+  steerControlType @46 :SteerControlType;
+  radarOffCan @47 :Bool; # True when radar objects aren't visible on CAN
+
+  steerActuatorDelay @48 :Float32; # Steering wheel actuator delay in seconds
+  openpilotLongitudinalControl @50 :Bool; # is openpilot doing the longitudinal control?
+
+  enum SteerControlType {
+    torque @0;
+    angle @1;
+  }
+}

cereal/include/c++.capnp

@@ -0,0 +1,26 @@
+# Copyright (c) 2013-2014 Sandstorm Development Group, Inc. and contributors
+# Licensed under the MIT License:
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in
+# all copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+
+@0xbdf87d7bb8304e81;
+$namespace("capnp::annotations");
+
+annotation namespace(file): Text;
+annotation name(field, enumerant, struct, enum, interface, method, param, group, union): Text;

cereal/include/java.capnp

@@ -0,0 +1,28 @@
+# Copyright (c) 2013-2015 Sandstorm Development Group, Inc. and contributors
+# Licensed under the MIT License:
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in
+# all copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+
+@0xc5f1af96651f70ea;
+
+annotation package @0x9ee4c8f803b3b596 (file) : Text;
+# Name of the package, such as "org.example.foo", in which the generated code will reside.
+
+annotation outerClassname @0x9b066bb4881f7cd3 (file) : Text;
+# Name of the outer class that will wrap the generated code.

common/api/__init__.py

@@ -0,0 +1,15 @@
+import requests
+
+from selfdrive.version import version
+
+def api_get(endpoint, method='GET', timeout=None, access_token=None, **params):
+  backend = "https://api.commadotai.com/"
+
+  headers = {}
+  if access_token is not None:
+    headers['Authorization'] = "JWT "+access_token
+
+  headers['User-Agent'] = "openpilot-" + version
+
+  return requests.request(method, backend+endpoint, timeout=timeout, headers = headers, params=params)
+

common/basedir.py

@@ -0,0 +1,4 @@
+import os
+BASEDIR = os.path.abspath(os.path.join(os.path.dirname(os.path.realpath(__file__)), "../"))
+
+

common/dbc.py

@@ -0,0 +1,289 @@
+import re
+import os
+import struct
+import sys
+import numbers
+from collections import namedtuple, defaultdict
+
+def int_or_float(s):
+  # return number, trying to maintain int format
+  if s.isdigit():
+    return int(s, 10)
+  else:
+    return float(s)
+
+DBCSignal = namedtuple(
+  "DBCSignal", ["name", "start_bit", "size", "is_little_endian", "is_signed",
+                "factor", "offset", "tmin", "tmax", "units"])
+
+
+class dbc(object):
+  def __init__(self, fn):
+    self.name, _ = os.path.splitext(os.path.basename(fn))
+    with open(fn) as f:
+      self.txt = f.readlines()
+    self._warned_addresses = set()
+
+    # regexps from https://github.com/ebroecker/canmatrix/blob/master/canmatrix/importdbc.py
+    bo_regexp = re.compile(r"^BO\_ (\w+) (\w+) *: (\w+) (\w+)")
+    sg_regexp = re.compile(r"^SG\_ (\w+) : (\d+)\|(\d+)@(\d+)([\+|\-]) \(([0-9.+\-eE]+),([0-9.+\-eE]+)\) \[([0-9.+\-eE]+)\|([0-9.+\-eE]+)\] \"(.*)\" (.*)")
+    sgm_regexp = re.compile(r"^SG\_ (\w+) (\w+) *: (\d+)\|(\d+)@(\d+)([\+|\-]) \(([0-9.+\-eE]+),([0-9.+\-eE]+)\) \[([0-9.+\-eE]+)\|([0-9.+\-eE]+)\] \"(.*)\" (.*)")
+    val_regexp = re.compile(r"VAL\_ (\w+) (\w+) (\s*[-+]?[0-9]+\s+\".+?\"[^;]*)")
+
+    # A dictionary which maps message ids to tuples ((name, size), signals).
+    #   name is the ASCII name of the message.
+    #   size is the size of the message in bytes.
+    #   signals is a list signals contained in the message.
+    # signals is a list of DBCSignal in order of increasing start_bit.
+    self.msgs = {}
+
+    # A dictionary which maps message ids to a list of tuples (signal name, definition value pairs)
+    self.def_vals = defaultdict(list)
+
+    # lookup to bit reverse each byte
+    self.bits_index = [(i & ~0b111) + ((-i-1) & 0b111) for i in xrange(64)]
+
+    for l in self.txt:
+      l = l.strip()
+
+      if l.startswith("BO_ "):
+        # new group
+        dat = bo_regexp.match(l)
+
+        if dat is None:
+          print("bad BO {0}".format(l))
+
+        name = dat.group(2)
+        size = int(dat.group(3))
+        ids = int(dat.group(1), 0) # could be hex
+        if ids in self.msgs:
+          sys.exit("Duplicate address detected %d %s" % (ids, self.name))
+
+        self.msgs[ids] = ((name, size), [])
+
+      if l.startswith("SG_ "):
+        # new signal
+        dat = sg_regexp.match(l)
+        go = 0
+        if dat is None:
+          dat = sgm_regexp.match(l)
+          go = 1
+
+        if dat is None:
+          print("bad SG {0}".format(l))
+
+        sgname = dat.group(1)
+        start_bit = int(dat.group(go+2))
+        signal_size = int(dat.group(go+3))
+        is_little_endian = int(dat.group(go+4))==1
+        is_signed = dat.group(go+5)=='-'
+        factor = int_or_float(dat.group(go+6))
+        offset = int_or_float(dat.group(go+7))
+        tmin = int_or_float(dat.group(go+8))
+        tmax = int_or_float(dat.group(go+9))
+        units = dat.group(go+10)
+
+        self.msgs[ids][1].append(
+          DBCSignal(sgname, start_bit, signal_size, is_little_endian,
+                    is_signed, factor, offset, tmin, tmax, units))
+
+      if l.startswith("VAL_ "):
+        # new signal value/definition
+        dat = val_regexp.match(l)
+
+        if dat is None:
+          print("bad VAL {0}".format(l))
+
+        ids = int(dat.group(1), 0) # could be hex
+        sgname = dat.group(2)
+        defvals = dat.group(3)
+
+        defvals = defvals.replace("?",r"\?") #escape sequence in C++
+        defvals = defvals.split('"')[:-1]
+
+        defs = defvals[1::2]
+        #cleanup, convert to UPPER_CASE_WITH_UNDERSCORES
+        for i,d in enumerate(defs):
+          d = defs[i].strip().upper()
+          defs[i] = d.replace(" ","_")
+
+        defvals[1::2] = defs
+        defvals = '"'+"".join(str(i) for i in defvals)+'"'
+
+        self.def_vals[ids].append((sgname, defvals))
+
+    for msg in self.msgs.values():
+      msg[1].sort(key=lambda x: x.start_bit)
+
+    self.msg_name_to_address = {}
+    for address, m in self.msgs.items():
+      name = m[0][0]
+      self.msg_name_to_address[name] = address
+
+  def lookup_msg_id(self, msg_id):
+    if not isinstance(msg_id, numbers.Number):
+      msg_id = self.msg_name_to_address[msg_id]
+    return msg_id
+
+  def reverse_bytes(self, x):
+    return ((x & 0xff00000000000000) >> 56) | \
+           ((x & 0x00ff000000000000) >> 40) | \
+           ((x & 0x0000ff0000000000) >> 24) | \
+           ((x & 0x000000ff00000000) >> 8) | \
+           ((x & 0x00000000ff000000) << 8) | \
+           ((x & 0x0000000000ff0000) << 24) | \
+           ((x & 0x000000000000ff00) << 40) | \
+           ((x & 0x00000000000000ff) << 56)
+
+  def encode(self, msg_id, dd):
+    """Encode a CAN message using the dbc.
+
+       Inputs:
+        msg_id: The message ID.
+        dd: A dictionary mapping signal name to signal data.
+    """
+    msg_id = self.lookup_msg_id(msg_id)
+
+    msg_def = self.msgs[msg_id]
+    size = msg_def[0][1]
+
+    result = 0
+    for s in msg_def[1]:
+      ival = dd.get(s.name)
+      if ival is not None:
+
+        b2 = s.size
+        if s.is_little_endian:
+          b1 = s.start_bit
+        else:
+          b1 = (s.start_bit // 8) * 8 + (-s.start_bit - 1) % 8
+        bo = 64 - (b1 + s.size)
+
+        ival = (ival / s.factor) - s.offset
+        ival = int(round(ival))
+
+        if s.is_signed and ival < 0:
+          ival = (1 << b2) + ival
+
+        shift = b1 if s.is_little_endian else bo
+        mask = ((1 << b2) - 1) << shift
+        dat = (ival & ((1 << b2) - 1)) << shift
+
+        if s.is_little_endian:
+          mask = self.reverse_bytes(mask)
+          dat = self.reverse_bytes(dat)
+
+        result &= ~mask
+        result |= dat
+
+    result = struct.pack('>Q', result)
+    return result[:size]
+
+  def decode(self, x, arr=None, debug=False):
+    """Decode a CAN message using the dbc.
+
+       Inputs:
+        x: A collection with elements (address, time, data), where address is
+           the CAN address, time is the bus time, and data is the CAN data as a
+           hex string.
+        arr: Optional list of signals which should be decoded and returned.
+        debug: True to print debugging statements.
+
+       Returns:
+        A tuple (name, data), where name is the name of the CAN message and data
+        is the decoded result. If arr is None, data is a dict of properties.
+        Otherwise data is a list of the same length as arr.
+
+        Returns (None, None) if the message could not be decoded.
+    """
+
+    if arr is None:
+      out = {}
+    else:
+      out = [None]*len(arr)
+
+    msg = self.msgs.get(x[0])
+    if msg is None:
+      if x[0] not in self._warned_addresses:
+        #print("WARNING: Unknown message address {}".format(x[0]))
+        self._warned_addresses.add(x[0])
+      return None, None
+
+    name = msg[0][0]
+    if debug:
+      print(name)
+
+    st = x[2].ljust(8, '\x00')
+    le, be = None, None
+
+    for s in msg[1]:
+      if arr is not None and s[0] not in arr:
+        continue
+
+      start_bit = s[1]
+      signal_size = s[2]
+      little_endian = s[3]
+      signed = s[4]
+      factor = s[5]
+      offset = s[6]
+
+      b2 = signal_size
+      if little_endian:
+        b1 = start_bit
+      else:
+        b1 = (start_bit // 8) * 8 + (-start_bit - 1) % 8
+      bo = 64 - (b1 + signal_size)
+
+      if little_endian:
+        if le is None:
+          le = struct.unpack("<Q", st)[0]
+        shift_amount = b1
+        tmp = le
+      else:
+        if be is None:
+          be = struct.unpack(">Q", st)[0]
+        shift_amount = bo
+        tmp = be
+
+      if shift_amount < 0:
+        continue
+
+      tmp = (tmp >> shift_amount) & ((1 << b2) - 1)
+      if signed and (tmp >> (b2 - 1)):
+        tmp -= (1 << b2)
+
+      tmp = tmp * factor + offset
+
+      # if debug:
+      #   print("%40s  %2d %2d  %7.2f %s" % (s[0], s[1], s[2], tmp, s[-1]))
+
+      if arr is None:
+        out[s[0]] = tmp
+      else:
+        out[arr.index(s[0])] = tmp
+    return name, out
+
+  def get_signals(self, msg):
+    msg = self.lookup_msg_id(msg)
+    return [sgs.name for sgs in self.msgs[msg][1]]
+
+
+if __name__ == "__main__":
+   from opendbc import DBC_PATH
+   import numpy as np
+
+   dbc_test = dbc(os.path.join(DBC_PATH, 'toyota_prius_2017_pt_generated.dbc'))
+   msg = ('STEER_ANGLE_SENSOR', {'STEER_ANGLE': -6.0, 'STEER_RATE': 4, 'STEER_FRACTION': -0.2})
+   encoded = dbc_test.encode(*msg)
+   decoded = dbc_test.decode((0x25, 0, encoded))
+   assert decoded == msg
+
+   dbc_test = dbc(os.path.join(DBC_PATH, 'hyundai_santa_fe_2019_ccan.dbc'))
+   decoded = dbc_test.decode((0x2b0, 0, "\xfa\xfe\x00\x07\x12"))
+   assert np.isclose(decoded[1]['SAS_Angle'], -26.2)
+
+   msg = ('SAS11', {'SAS_Stat': 7.0, 'MsgCount': 0.0, 'SAS_Angle': -26.200000000000003, 'SAS_Speed': 0.0, 'CheckSum': 0.0})
+   encoded = dbc_test.encode(*msg)
+   decoded = dbc_test.decode((0x2b0, 0, encoded))
+
+   assert decoded == msg

common/ffi_wrapper.py

@@ -0,0 +1,49 @@
+import os
+import sys
+import fcntl
+import hashlib
+from cffi import FFI
+
+
+def ffi_wrap(name, c_code, c_header, tmpdir="/tmp/ccache", cflags="", libraries=None):
+  if libraries is None:
+    libraries = []
+
+  cache = name + "_" + hashlib.sha1(c_code).hexdigest()
+  try:
+    os.mkdir(tmpdir)
+  except OSError:
+    pass
+
+  fd = os.open(tmpdir, 0)
+  fcntl.flock(fd, fcntl.LOCK_EX)
+  try:
+    sys.path.append(tmpdir)
+    try:
+      mod = __import__(cache)
+    except Exception:
+      print("cache miss {0}".format(cache))
+      compile_code(cache, c_code, c_header, tmpdir, cflags, libraries)
+      mod = __import__(cache)
+  finally:
+    os.close(fd)
+
+  return mod.ffi, mod.lib
+
+
+def compile_code(name, c_code, c_header, directory, cflags="", libraries=None):
+  if libraries is None:
+    libraries = []
+
+  ffibuilder = FFI()
+  ffibuilder.set_source(name, c_code, source_extension='.cpp', libraries=libraries)
+  ffibuilder.cdef(c_header)
+  os.environ['OPT'] = "-fwrapv -O2 -DNDEBUG -std=c++11"
+  os.environ['CFLAGS'] = cflags
+  ffibuilder.compile(verbose=True, debug=False, tmpdir=directory)
+
+
+def wrap_compiled(name, directory):
+  sys.path.append(directory)
+  mod = __import__(name)
+  return mod.ffi, mod.lib

common/filter_simple.py

@@ -0,0 +1,10 @@
+class FirstOrderFilter():
+  # first order filter
+  def __init__(self, x0, ts, dt):
+    self.k = (dt / ts) / (1. + dt / ts)
+    self.x = x0
+
+  def update(self, x):
+    self.x = (1. - self.k) * self.x + self.k * x
+
+

common/fingerprints.py

@@ -0,0 +1,64 @@
+import os
+from common.basedir import BASEDIR
+
+def get_fingerprint_list():
+  # read all the folders in selfdrive/car and return a dict where:
+  # - keys are all the car models for which we have a fingerprint
+  # - values are lists dicts of messages that constitute the unique 
+  #   CAN fingerprint of each car model and all its variants
+  fingerprints = {}
+  for car_folder in [x[0] for x in os.walk(BASEDIR + '/selfdrive/car')]:
+    try:
+      car_name = car_folder.split('/')[-1]
+      values = __import__('selfdrive.car.%s.values' % car_name, fromlist=['FINGERPRINTS'])
+      if hasattr(values, 'FINGERPRINTS'):
+        car_fingerprints = values.FINGERPRINTS
+      else:
+        continue
+      for f, v in car_fingerprints.items():
+        fingerprints[f] = v
+    except (ImportError, IOError):
+      pass
+  return fingerprints
+
+
+_FINGERPRINTS = get_fingerprint_list()
+
+_DEBUG_ADDRESS = {1880: 8}   # reserved for debug purposes
+
+def is_valid_for_fingerprint(msg, car_fingerprint):
+  adr = msg.address
+  bus = msg.src
+  # ignore addresses that are more than 11 bits
+  return (adr in car_fingerprint and car_fingerprint[adr] == len(msg.dat)) or \
+         bus != 0 or adr >= 0x800
+
+
+def eliminate_incompatible_cars(msg, candidate_cars):
+  """Removes cars that could not have sent msg.
+
+     Inputs:
+      msg: A cereal/log CanData message from the car.
+      candidate_cars: A list of cars to consider.
+
+     Returns:
+      A list containing the subset of candidate_cars that could have sent msg.
+  """
+  compatible_cars = []
+
+  for car_name in candidate_cars:
+    car_fingerprints = _FINGERPRINTS[car_name]
+
+    for fingerprint in car_fingerprints:
+      fingerprint.update(_DEBUG_ADDRESS)  # add alien debug address
+
+      if is_valid_for_fingerprint(msg, fingerprint):
+        compatible_cars.append(car_name)
+        break
+
+  return compatible_cars
+
+
+def all_known_cars():
+  """Returns a list of all known car strings."""
+  return list(_FINGERPRINTS.keys())

common/kalman/ekf.py

@@ -0,0 +1,253 @@
+# pylint: skip-file
+from __future__ import print_function
+import abc
+import numpy as np
+# The EKF class contains the framework for an Extended Kalman Filter, but must be subclassed to use.
+# A subclass must implement:
+#   1) calc_transfer_fun(); see bottom of file for more info.
+#   2) __init__() to initialize self.state, self.covar, and self.process_noise appropriately
+
+# Alternatively, the existing implementations of EKF can be used (e.g. EKF2D)
+
+# Sensor classes are optionally used to pass measurement information into the EKF, to keep
+#   sensor parameters and processing methods for a each sensor together.
+# Sensor classes have a read() method which takes raw sensor data and returns
+#   a SensorReading object, which can be passed to the EKF update() method.
+
+# For usage, see run_ekf1d.py in selfdrive/new for a simple example.
+# ekf.predict(dt) should be called between update cycles with the time since it was last called.
+# Ideally, predict(dt) should be called at a relatively constant rate.
+# update() should be called once per sensor, and can be called multiple times between predict steps.
+# Access and set the state of the filter directly with ekf.state and ekf.covar.
+
+
+class SensorReading:
+  # Given a perfect model and no noise, data = obs_model * state
+  def __init__(self, data, covar, obs_model):
+    self.data = data
+    self.obs_model = obs_model
+    self.covar = covar
+
+  def __repr__(self):
+    return "SensorReading(data={}, covar={}, obs_model={})".format(
+      repr(self.data), repr(self.covar), repr(self.obs_model))
+
+
+# A generic sensor class that does no pre-processing of data
+class SimpleSensor:
+  # obs_model can be
+  #   a full observation model matrix, or
+  #   an integer or tuple of indices into ekf.state, indicating which variables are being directly observed
+  # covar can be
+  #   a full covariance matrix
+  #   a float or tuple of individual covars for each component of the sensor reading
+  # dims is the number of states in the EKF
+  def __init__(self, obs_model, covar, dims):
+    # Allow for integer covar/obs_model
+    if not hasattr(obs_model, "__len__"):
+      obs_model = (obs_model, )
+    if not hasattr(covar, "__len__"):
+      covar = (covar, )
+
+    # Full observation model passed
+    if dims in np.array(obs_model).shape:
+      self.obs_model = np.asmatrix(obs_model)
+      self.covar = np.asmatrix(covar)
+    # Indices of unit observations passed
+    else:
+      self.obs_model = np.matlib.zeros((len(obs_model), dims))
+      self.obs_model[:, list(obs_model)] = np.identity(len(obs_model))
+      if np.asarray(covar).ndim == 2:
+        self.covar = np.asmatrix(covar)
+      elif len(covar) == len(obs_model):
+        self.covar = np.matlib.diag(covar)
+      else:
+        self.covar = np.matlib.identity(len(obs_model)) * covar
+
+  def read(self, data, covar=None):
+    if covar:
+      self.covar = covar
+    return SensorReading(data, self.covar, self.obs_model)
+
+
+class EKF:
+  __metaclass__ = abc.ABCMeta
+
+  def __init__(self, debug=False):
+    self.DEBUG = debug
+
+
+  def __str__(self):
+    return "EKF(state={}, covar={})".format(self.state, self.covar)
+
+  # Measurement update
+  # Reading should be a SensorReading object with data, covar, and obs_model attributes
+  def update(self, reading):
+    # Potential improvements:
+    # deal with negative covars
+    # add noise to really low covars to ensure stability
+    # use mahalanobis distance to reject outliers
+    # wrap angles after state updates and innovation
+
+    # y = z - H*x
+    innovation = reading.data - reading.obs_model * self.state
+
+    if self.DEBUG:
+      print("reading:\n",reading.data)
+      print("innovation:\n",innovation)
+
+    # S = H*P*H' + R
+    innovation_covar = reading.obs_model * self.covar * reading.obs_model.T + reading.covar
+
+    # K = P*H'*S^-1
+    kalman_gain = self.covar * reading.obs_model.T * np.linalg.inv(
+      innovation_covar)
+
+    if self.DEBUG:
+      print("gain:\n", kalman_gain)
+      print("innovation_covar:\n", innovation_covar)
+      print("innovation: ", innovation)
+      print("test: ", self.covar * reading.obs_model.T * (
+        reading.obs_model * self.covar * reading.obs_model.T + reading.covar *
+        0).I)
+
+    # x = x + K*y
+    self.state += kalman_gain*innovation
+
+    # print "covar", np.diag(self.covar)
+    #self.state[(roll_vel, yaw_vel, pitch_vel),:] = reading.data
+
+    # Standard form: P = (I - K*H)*P
+    # self.covar = (self.identity - kalman_gain*reading.obs_model) * self.covar
+
+    # Use the Joseph form for numerical stability: P = (I-K*H)*P*(I - K*H)' + K*R*K'
+    aux_mtrx = (self.identity - kalman_gain * reading.obs_model)
+    self.covar = aux_mtrx * self.covar * aux_mtrx.T + kalman_gain * reading.covar * kalman_gain.T
+
+    if self.DEBUG:
+      print("After update")
+      print("state\n", self.state)
+      print("covar:\n",self.covar)
+
+  def update_scalar(self, reading):
+    # like update but knowing that measurement is a scalar
+    # this avoids matrix inversions and speeds up (surprisingly) drived.py a lot
+
+    # innovation = reading.data - np.matmul(reading.obs_model, self.state)
+    # innovation_covar = np.matmul(np.matmul(reading.obs_model, self.covar), reading.obs_model.T) + reading.covar
+    # kalman_gain = np.matmul(self.covar, reading.obs_model.T)/innovation_covar
+    # self.state += np.matmul(kalman_gain, innovation)
+    # aux_mtrx = self.identity - np.matmul(kalman_gain, reading.obs_model)
+    # self.covar =  np.matmul(aux_mtrx, np.matmul(self.covar, aux_mtrx.T)) + np.matmul(kalman_gain, np.matmul(reading.covar, kalman_gain.T))
+
+    # written without np.matmul
+    es = np.einsum
+    ABC_T = "ij,jk,lk->il"
+    AB_T = "ij,kj->ik"
+    AB = "ij,jk->ik"
+    innovation = reading.data - es(AB, reading.obs_model, self.state)
+    innovation_covar = es(ABC_T, reading.obs_model, self.covar,
+                          reading.obs_model) + reading.covar
+    kalman_gain = es(AB_T, self.covar, reading.obs_model) / innovation_covar
+
+    self.state += es(AB, kalman_gain, innovation)
+    aux_mtrx = self.identity - es(AB, kalman_gain, reading.obs_model)
+    self.covar = es(ABC_T, aux_mtrx, self.covar, aux_mtrx) + \
+                 es(ABC_T, kalman_gain, reading.covar, kalman_gain)
+
+  # Prediction update
+  def predict(self, dt):
+    es = np.einsum
+    ABC_T = "ij,jk,lk->il"
+    AB = "ij,jk->ik"
+
+    # State update
+    transfer_fun, transfer_fun_jacobian = self.calc_transfer_fun(dt)
+
+    # self.state = np.matmul(transfer_fun, self.state)
+    # self.covar = np.matmul(np.matmul(transfer_fun_jacobian, self.covar), transfer_fun_jacobian.T) + self.process_noise * dt
+
+    # x = f(x, u), written in the form x = A(x, u)*x
+    self.state = es(AB, transfer_fun, self.state)
+
+    # P = J*P*J' + Q
+    self.covar = es(ABC_T, transfer_fun_jacobian, self.covar,
+                    transfer_fun_jacobian) + self.process_noise * dt  #!dt
+
+    #! Clip covariance to avoid explosions
+    self.covar = np.clip(self.covar,-1e10,1e10)
+
+  @abc.abstractmethod
+  def calc_transfer_fun(self, dt):
+    """Return a tuple with the transfer function and transfer function jacobian
+    The transfer function and jacobian should both be a numpy matrix of size DIMSxDIMS
+
+    The transfer function matrix A should satisfy the state-update equation
+      x_(k+1) = A * x_k
+
+    The jacobian J is the direct jacobian A*x_k. For linear systems J=A.
+
+    Current implementations calculate A and J as functions of state. Control input
+      can be added trivially by adding a control parameter to predict() and calc_tranfer_update(),
+      and using it during calculation of A and J
+    """
+
+
+class FastEKF1D(EKF):
+  """Fast version of EKF for 1D problems with scalar readings."""
+
+  def __init__(self, dt, var_init, Q):
+    super(FastEKF1D, self).__init__(False)
+    self.state = [0, 0]
+    self.covar = [var_init, var_init, 0]
+
+    # Process Noise
+    self.dtQ0 = dt * Q[0]
+    self.dtQ1 = dt * Q[1]
+
+  def update(self, reading):
+    raise NotImplementedError
+
+  def update_scalar(self, reading):
+    # TODO(mgraczyk): Delete this for speed.
+    # assert np.all(reading.obs_model == [1, 0])
+
+    rcov = reading.covar[0, 0]
+
+    x = self.state
+    S = self.covar
+
+    innovation = reading.data - x[0]
+    innovation_covar = S[0] + rcov
+
+    k0 = S[0] / innovation_covar
+    k1 = S[2] / innovation_covar
+
+    x[0] += k0 * innovation
+    x[1] += k1 * innovation
+
+    mk = 1 - k0
+    S[1] += k1 * (k1 * (S[0] + rcov) - 2 * S[2])
+    S[2] = mk * (S[2] - k1 * S[0]) + rcov * k0 * k1
+    S[0] = mk * mk * S[0] + rcov * k0 * k0
+
+  def predict(self, dt):
+    # State update
+    x = self.state
+
+    x[0] += dt * x[1]
+
+    # P = J*P*J' + Q
+    S = self.covar
+    S[0] += dt * (2 * S[2] + dt * S[1]) + self.dtQ0
+    S[2] += dt * S[1]
+    S[1] += self.dtQ1
+
+    # Clip covariance to avoid explosions
+    S = max(-1e10, min(S, 1e10))
+
+  def calc_transfer_fun(self, dt):
+    tf = np.identity(2)
+    tf[0, 1] = dt
+    tfj = tf
+    return tf, tfj

common/kalman/simple_kalman.py

@@ -0,0 +1,23 @@
+import numpy as np
+
+
+class KF1D:
+  # this EKF assumes constant covariance matrix, so calculations are much simpler
+  # the Kalman gain also needs to be precomputed using the control module
+
+  def __init__(self, x0, A, C, K):
+    self.x = x0
+    self.A = A
+    self.C = C
+    self.K = K
+
+    self.A_K = self.A - np.dot(self.K, self.C)
+
+    # K matrix needs to  be pre-computed as follow:
+    # import control
+    # (x, l, K) = control.dare(np.transpose(self.A), np.transpose(self.C), Q, R)
+    # self.K = np.transpose(K)
+
+  def update(self, meas):
+    self.x = np.dot(self.A_K, self.x) + np.dot(self.K, meas)
+    return self.x

common/logging_extra.py

@@ -0,0 +1,174 @@
+import os
+import sys
+import copy
+import json
+import socket
+import logging
+from threading import local
+from collections import OrderedDict
+from contextlib import contextmanager
+
+def json_handler(obj):
+  # if isinstance(obj, (datetime.date, datetime.time)):
+  #   return obj.isoformat()
+  return repr(obj)
+
+def json_robust_dumps(obj):
+  return json.dumps(obj, default=json_handler)
+
+class NiceOrderedDict(OrderedDict):
+  def __str__(self):
+    return json_robust_dumps(self)
+
+class SwagFormatter(logging.Formatter):
+  def __init__(self, swaglogger):
+    logging.Formatter.__init__(self, None, '%a %b %d %H:%M:%S %Z %Y')
+
+    self.swaglogger = swaglogger
+    self.host = socket.gethostname()
+
+  def format_dict(self, record):
+    record_dict = NiceOrderedDict()
+
+    if isinstance(record.msg, dict):
+      record_dict['msg'] = record.msg
+    else:
+      try:
+        record_dict['msg'] = record.getMessage()
+      except (ValueError, TypeError):
+        record_dict['msg'] = [record.msg]+record.args
+
+    record_dict['ctx'] = self.swaglogger.get_ctx()
+
+    if record.exc_info:
+      record_dict['exc_info'] = self.formatException(record.exc_info)
+
+    record_dict['level'] = record.levelname
+    record_dict['levelnum'] = record.levelno
+    record_dict['name'] = record.name
+    record_dict['filename'] = record.filename
+    record_dict['lineno'] = record.lineno
+    record_dict['pathname'] = record.pathname
+    record_dict['module'] = record.module
+    record_dict['funcName'] = record.funcName
+    record_dict['host'] = self.host
+    record_dict['process'] = record.process
+    record_dict['thread'] = record.thread
+    record_dict['threadName'] = record.threadName
+    record_dict['created'] = record.created
+
+    return record_dict
+
+  def format(self, record):
+    return json_robust_dumps(self.format_dict(record))
+
+class SwagErrorFilter(logging.Filter):
+  def filter(self, record):
+    return record.levelno < logging.ERROR
+
+_tmpfunc = lambda: 0
+_srcfile = os.path.normcase(_tmpfunc.__code__.co_filename)
+
+class SwagLogger(logging.Logger):
+  def __init__(self):
+    logging.Logger.__init__(self, "swaglog")
+
+    self.global_ctx = {}
+
+    self.log_local = local()
+    self.log_local.ctx = {}
+
+  def findCaller(self, stack_info=None):
+    """
+      Find the stack frame of the caller so that we can note the source
+      file name, line number and function name.
+      """
+    # f = currentframe()
+    f = sys._getframe(3)
+    #On some versions of IronPython, currentframe() returns None if
+    #IronPython isn't run with -X:Frames.
+    if f is not None:
+      f = f.f_back
+    rv = "(unknown file)", 0, "(unknown function)"
+    while hasattr(f, "f_code"):
+      co = f.f_code
+      filename = os.path.normcase(co.co_filename)
+      if filename in (logging._srcfile, _srcfile):
+        f = f.f_back
+        continue
+      rv = (co.co_filename, f.f_lineno, co.co_name)
+      break
+    return rv
+
+  def local_ctx(self):
+    try:
+      return self.log_local.ctx
+    except AttributeError:
+      self.log_local.ctx = {}
+      return self.log_local.ctx
+
+  def get_ctx(self):
+    return dict(self.local_ctx(), **self.global_ctx)
+
+  @contextmanager
+  def ctx(self, **kwargs):
+    old_ctx = self.local_ctx()
+    self.log_local.ctx = copy.copy(old_ctx) or {}
+    self.log_local.ctx.update(kwargs)
+    try:
+      yield
+    finally:
+      self.log_local.ctx = old_ctx
+
+  def bind(self, **kwargs):
+    self.local_ctx().update(kwargs)
+
+  def bind_global(self, **kwargs):
+    self.global_ctx.update(kwargs)
+
+  def event(self, event_name, *args, **kwargs):
+    evt = NiceOrderedDict()
+    evt['event'] = event_name
+    if args:
+      evt['args'] = args
+    evt.update(kwargs)
+    ctx = self.get_ctx()
+    if ctx:
+      evt['ctx'] = self.get_ctx()
+    if 'error' in kwargs:
+      self.error(evt)
+    else:
+      self.info(evt)
+
+if __name__ == "__main__":
+  log = SwagLogger()
+
+  stdout_handler = logging.StreamHandler(sys.stdout)
+  stdout_handler.setLevel(logging.INFO)
+  stdout_handler.addFilter(SwagErrorFilter())
+  log.addHandler(stdout_handler)
+
+  stderr_handler = logging.StreamHandler(sys.stderr)
+  stderr_handler.setLevel(logging.ERROR)
+  log.addHandler(stderr_handler)
+
+  log.info("asdasd %s", "a")
+  log.info({'wut': 1})
+  log.warning("warning")
+  log.error("error")
+  log.critical("critical")
+  log.event("test", x="y")
+
+  with log.ctx():
+    stdout_handler.setFormatter(SwagFormatter(log))
+    stderr_handler.setFormatter(SwagFormatter(log))
+    log.bind(user="some user")
+    log.info("in req")
+    print("")
+    log.warning("warning")
+    print("")
+    log.error("error")
+    print("")
+    log.critical("critical")
+    print("")
+    log.event("do_req", a=1, b="c")

common/numpy_fast.py

@@ -0,0 +1,18 @@
+def int_rnd(x):
+  return int(round(x))
+
+def clip(x, lo, hi):
+  return max(lo, min(hi, x))
+
+def interp(x, xp, fp):
+  N = len(xp)
+  def get_interp(xv):
+    hi = 0
+    while hi < N and xv > xp[hi]:
+      hi += 1
+    low = hi - 1
+    return fp[-1] if hi == N and xv > xp[low] else (
+      fp[0] if hi == 0 else 
+      (xv - xp[low]) * (fp[hi] - fp[low]) / (xp[hi] - xp[low]) + fp[low])
+  return [get_interp(v) for v in x] if hasattr(
+    x, '__iter__') else get_interp(x)

common/params.py

@@ -0,0 +1,358 @@
+#!/usr/bin/env python
+"""ROS has a parameter server, we have files.
+
+The parameter store is a persistent key value store, implemented as a directory with a writer lock.
+On Android, we store params under params_dir = /data/params. The writer lock is a file
+"<params_dir>/.lock" taken using flock(), and data is stored in a directory symlinked to by
+"<params_dir>/d".
+
+Each key, value pair is stored as a file with named <key> with contents <value>, located in
+  <params_dir>/d/<key>
+
+Readers of a single key can just open("<params_dir>/d/<key>") and read the file contents.
+Readers who want a consistent snapshot of multiple keys should take the lock.
+
+Writers should take the lock before modifying anything. Writers should also leave the DB in a
+consistent state after a crash. The implementation below does this by copying all params to a temp
+directory <params_dir>/<tmp>, then atomically symlinking <params_dir>/<d> to <params_dir>/<tmp>
+before deleting the old <params_dir>/<d> directory.
+
+Writers that only modify a single key can simply take the lock, then swap the corresponding value
+file in place without messing with <params_dir>/d.
+"""
+import time
+import os
+import errno
+import sys
+import shutil
+import fcntl
+import tempfile
+from enum import Enum
+
+
+def mkdirs_exists_ok(path):
+  try:
+    os.makedirs(path)
+  except OSError:
+    if not os.path.isdir(path):
+      raise
+
+
+class TxType(Enum):
+  PERSISTENT = 1
+  CLEAR_ON_MANAGER_START = 2
+  CLEAR_ON_CAR_START = 3
+
+
+class UnknownKeyName(Exception):
+  pass
+
+
+keys = {
+  "AccessToken": TxType.PERSISTENT,
+  "CalibrationParams": TxType.PERSISTENT,
+  "CarParams": TxType.CLEAR_ON_CAR_START,
+  "CompletedTrainingVersion": TxType.PERSISTENT,
+  "ControlsParams": TxType.PERSISTENT,
+  "DoUninstall": TxType.CLEAR_ON_MANAGER_START,
+  "DongleId": TxType.PERSISTENT,
+  "GitBranch": TxType.PERSISTENT,
+  "GitCommit": TxType.PERSISTENT,
+  "GitRemote": TxType.PERSISTENT,
+  "HasAcceptedTerms": TxType.PERSISTENT,
+  "IsDriverMonitoringEnabled": TxType.PERSISTENT,
+  "IsFcwEnabled": TxType.PERSISTENT,
+  "IsGeofenceEnabled": TxType.PERSISTENT,
+  "IsMetric": TxType.PERSISTENT,
+  "IsUpdateAvailable": TxType.PERSISTENT,
+  "IsUploadVideoOverCellularEnabled": TxType.PERSISTENT,
+  "LimitSetSpeed": TxType.PERSISTENT,
+  "LiveParameters": TxType.PERSISTENT,
+  "LongitudinalControl": TxType.PERSISTENT,
+  "Passive": TxType.PERSISTENT,
+  "RecordFront": TxType.PERSISTENT,
+  "ShouldDoUpdate": TxType.CLEAR_ON_MANAGER_START,
+  "SpeedLimitOffset": TxType.PERSISTENT,
+  "TrainingVersion": TxType.PERSISTENT,
+  "Version": TxType.PERSISTENT,
+}
+
+
+def fsync_dir(path):
+  fd = os.open(path, os.O_RDONLY)
+  try:
+    os.fsync(fd)
+  finally:
+    os.close(fd)
+
+
+class FileLock(object):
+  def __init__(self, path, create):
+    self._path = path
+    self._create = create
+    self._fd = None
+
+  def acquire(self):
+    self._fd = os.open(self._path, os.O_CREAT if self._create else 0)
+    fcntl.flock(self._fd, fcntl.LOCK_EX)
+
+  def release(self):
+    if self._fd is not None:
+      os.close(self._fd)
+      self._fd = None
+
+
+class DBAccessor(object):
+  def __init__(self, path):
+    self._path = path
+    self._vals = None
+
+  def keys(self):
+    self._check_entered()
+    return self._vals.keys()
+
+  def get(self, key):
+    self._check_entered()
+    try:
+      return self._vals[key]
+    except KeyError:
+      return None
+
+  def _get_lock(self, create):
+    lock = FileLock(os.path.join(self._path, ".lock"), create)
+    lock.acquire()
+    return lock
+
+  def _read_values_locked(self):
+    """Callers should hold a lock while calling this method."""
+    vals = {}
+    try:
+      data_path = self._data_path()
+      keys = os.listdir(data_path)
+      for key in keys:
+        with open(os.path.join(data_path, key), "rb") as f:
+          vals[key] = f.read()
+    except (OSError, IOError) as e:
+      # Either the DB hasn't been created yet, or somebody wrote a bug and left the DB in an
+      # inconsistent state. Either way, return empty.
+      if e.errno == errno.ENOENT:
+        return {}
+
+    return vals
+
+  def _data_path(self):
+    return os.path.join(self._path, "d")
+
+  def _check_entered(self):
+    if self._vals is None:
+      raise Exception("Must call __enter__ before using DB")
+
+
+class DBReader(DBAccessor):
+  def __enter__(self):
+    try:
+      lock = self._get_lock(False)
+    except OSError as e:
+      # Do not create lock if it does not exist.
+      if e.errno == errno.ENOENT:
+        self._vals = {}
+        return self
+
+    try:
+      # Read everything.
+      self._vals = self._read_values_locked()
+      return self
+    finally:
+      lock.release()
+
+  def __exit__(self, type, value, traceback): pass
+
+
+class DBWriter(DBAccessor):
+  def __init__(self, path):
+    super(DBWriter, self).__init__(path)
+    self._lock = None
+    self._prev_umask = None
+
+  def put(self, key, value):
+    self._vals[key] = value
+
+  def delete(self, key):
+    self._vals.pop(key, None)
+
+  def __enter__(self):
+    mkdirs_exists_ok(self._path)
+
+    # Make sure we can write and that permissions are correct.
+    self._prev_umask = os.umask(0)
+
+    try:
+      os.chmod(self._path, 0o777)
+      self._lock = self._get_lock(True)
+      self._vals = self._read_values_locked()
+    except:
+      os.umask(self._prev_umask)
+      self._prev_umask = None
+      raise
+
+    return self
+
+  def __exit__(self, type, value, traceback):
+    self._check_entered()
+
+    try:
+      # data_path refers to the externally used path to the params. It is a symlink.
+      # old_data_path is the path currently pointed to by data_path.
+      # tempdir_path is a path where the new params will go, which the new data path will point to.
+      # new_data_path is a temporary symlink that will atomically overwrite data_path.
+      #
+      # The current situation is:
+      #   data_path -> old_data_path
+      # We're going to write params data to tempdir_path
+      #   tempdir_path -> params data
+      # Then point new_data_path to tempdir_path
+      #   new_data_path -> tempdir_path
+      # Then atomically overwrite data_path with new_data_path
+      #   data_path -> tempdir_path
+      old_data_path = None
+      new_data_path = None
+      tempdir_path = tempfile.mkdtemp(prefix=".tmp", dir=self._path)
+
+      try:
+        # Write back all keys.
+        os.chmod(tempdir_path, 0o777)
+        for k, v in self._vals.items():
+          with open(os.path.join(tempdir_path, k), "wb") as f:
+            f.write(v)
+            f.flush()
+            os.fsync(f.fileno())
+        fsync_dir(tempdir_path)
+
+        data_path = self._data_path()
+        try:
+          old_data_path = os.path.join(self._path, os.readlink(data_path))
+        except (OSError, IOError):
+          # NOTE(mgraczyk): If other DB implementations have bugs, this could cause
+          #                 copies to be left behind, but we still want to overwrite.
+          pass
+
+        new_data_path = "{}.link".format(tempdir_path)
+        os.symlink(os.path.basename(tempdir_path), new_data_path)
+        os.rename(new_data_path, data_path)
+        fsync_dir(self._path)
+      finally:
+        # If the rename worked, we can delete the old data. Otherwise delete the new one.
+        success = new_data_path is not None and os.path.exists(data_path) and (
+          os.readlink(data_path) == os.path.basename(tempdir_path))
+
+        if success:
+          if old_data_path is not None:
+            shutil.rmtree(old_data_path)
+        else:
+          shutil.rmtree(tempdir_path)
+
+        # Regardless of what happened above, there should be no link at new_data_path.
+        if new_data_path is not None and os.path.islink(new_data_path):
+          os.remove(new_data_path)
+    finally:
+      os.umask(self._prev_umask)
+      self._prev_umask = None
+
+      # Always release the lock.
+      self._lock.release()
+      self._lock = None
+
+
+def read_db(params_path, key):
+  path = "%s/d/%s" % (params_path, key)
+  try:
+    with open(path, "rb") as f:
+      return f.read()
+  except IOError:
+    return None
+
+def write_db(params_path, key, value):
+  prev_umask = os.umask(0)
+  lock = FileLock(params_path+"/.lock", True)
+  lock.acquire()
+
+  try:
+    tmp_path = tempfile.mktemp(prefix=".tmp", dir=params_path)
+    with open(tmp_path, "wb") as f:
+      f.write(value)
+      f.flush()
+      os.fsync(f.fileno())
+
+    path = "%s/d/%s" % (params_path, key)
+    os.rename(tmp_path, path)
+    fsync_dir(os.path.dirname(path))
+  finally:
+    os.umask(prev_umask)
+    lock.release()
+
+class Params(object):
+  def __init__(self, db='/data/params'):
+    self.db = db
+
+    # create the database if it doesn't exist...
+    if not os.path.exists(self.db+"/d"):
+      with self.transaction(write=True):
+        pass
+
+  def transaction(self, write=False):
+    if write:
+      return DBWriter(self.db)
+    else:
+      return DBReader(self.db)
+
+  def _clear_keys_with_type(self, tx_type):
+    with self.transaction(write=True) as txn:
+      for key in keys:
+        if keys[key] == tx_type:
+          txn.delete(key)
+
+  def manager_start(self):
+    self._clear_keys_with_type(TxType.CLEAR_ON_MANAGER_START)
+
+  def car_start(self):
+    self._clear_keys_with_type(TxType.CLEAR_ON_CAR_START)
+
+  def delete(self, key):
+    with self.transaction(write=True) as txn:
+      txn.delete(key)
+
+  def get(self, key, block=False):
+    if key not in keys:
+      raise UnknownKeyName(key)
+
+    while 1:
+      ret = read_db(self.db, key)
+      if not block or ret is not None:
+        break
+      # is polling really the best we can do?
+      time.sleep(0.05)
+    return ret
+
+  def put(self, key, dat):
+    if key not in keys:
+      raise UnknownKeyName(key)
+
+    write_db(self.db, key, dat)
+
+if __name__ == "__main__":
+  params = Params()
+  if len(sys.argv) > 2:
+    params.put(sys.argv[1], sys.argv[2])
+  else:
+    for k in keys:
+      pp = params.get(k)
+      if pp is None:
+        print("%s is None" % k)
+      elif all(ord(c) < 128 and ord(c) >= 32 for c in pp):
+        print("%s = %s" % (k, pp))
+      else:
+        print("%s = %s" % (k, pp.encode("hex")))
+
+  # Test multiprocess:
+  # seq 0 100000 | xargs -P20 -I{} python common/params.py DongleId {} && sleep 0.05
+  # while python common/params.py DongleId; do sleep 0.05; done

common/profiler.py

@@ -0,0 +1,46 @@
+import time
+
+class Profiler(object):
+  def __init__(self, enabled=False):
+    self.enabled = enabled
+    self.cp = {}
+    self.cp_ignored = []
+    self.iter = 0
+    self.start_time = time.time()
+    self.last_time = self.start_time
+    self.tot = 0.
+
+  def reset(self, enabled=False):
+    self.enabled = enabled
+    self.cp = {}
+    self.cp_ignored = []
+    self.iter = 0
+    self.start_time = time.time()
+    self.last_time = self.start_time
+
+  def checkpoint(self, name, ignore=False):
+    # ignore flag needed when benchmarking threads with ratekeeper
+    if not self.enabled:
+      return
+    tt = time.time()
+    if name not in self.cp:
+      self.cp[name] = 0.
+      if ignore:
+        self.cp_ignored.append(name)
+    self.cp[name] += tt - self.last_time
+    if not ignore:
+      self.tot += tt - self.last_time
+    self.last_time = tt
+
+  def display(self):
+    if not self.enabled:
+      return
+    self.iter += 1
+    print("******* Profiling *******")
+    for n, ms in sorted(self.cp.items(), key=lambda x: -x[1]):
+      if n in self.cp_ignored:
+        print("%30s: %7.2f   percent: %3.0f   IGNORED" % (n, ms*1000.0, ms/self.tot*100))
+      else:
+        print("%30s: %7.2f   percent: %3.0f" % (n, ms*1000.0, ms/self.tot*100))
+    print("Iter clock: %2.6f   TOTAL: %2.2f" % (self.tot/self.iter, self.tot))
+

common/realtime.py

@@ -0,0 +1,108 @@
+"""Utilities for reading real time clocks and keeping soft real time constraints."""
+import os
+import time
+import platform
+import threading
+import subprocess
+import multiprocessing
+
+from cffi import FFI
+ffi = FFI()
+ffi.cdef("""
+
+typedef int clockid_t;
+struct timespec {
+    long tv_sec;   /* Seconds.  */
+    long tv_nsec;  /* Nanoseconds.  */
+};
+int clock_gettime (clockid_t clk_id, struct timespec *tp);
+
+long syscall(long number, ...);
+
+"""
+)
+libc = ffi.dlopen(None)
+
+
+# see <linux/time.h>
+CLOCK_MONOTONIC_RAW = 4
+CLOCK_BOOTTIME = 7
+
+if platform.system() != 'Darwin' and hasattr(libc, 'clock_gettime'):
+  c_clock_gettime = libc.clock_gettime
+
+  tlocal = threading.local()
+  def clock_gettime(clk_id):
+    if not hasattr(tlocal, 'ts'):
+      tlocal.ts = ffi.new('struct timespec *')
+
+    ts = tlocal.ts
+
+    r = c_clock_gettime(clk_id, ts)
+    if r != 0:
+      raise OSError("clock_gettime")
+    return ts.tv_sec + ts.tv_nsec * 1e-9
+else:
+  # hack. only for OS X < 10.12
+  def clock_gettime(clk_id):
+    return time.time()
+
+def monotonic_time():
+  return clock_gettime(CLOCK_MONOTONIC_RAW)
+
+def sec_since_boot():
+  return clock_gettime(CLOCK_BOOTTIME)
+
+
+def set_realtime_priority(level):
+  if os.getuid() != 0:
+    print("not setting priority, not root")
+    return
+  if platform.machine() == "x86_64":
+    NR_gettid = 186
+  elif platform.machine() == "aarch64":
+    NR_gettid = 178
+  else:
+    raise NotImplementedError
+
+  tid = libc.syscall(NR_gettid)
+  return subprocess.call(['chrt', '-f', '-p', str(level), str(tid)])
+
+
+class Ratekeeper(object):
+  def __init__(self, rate, print_delay_threshold=0.):
+    """Rate in Hz for ratekeeping. print_delay_threshold must be nonnegative."""
+    self._interval = 1. / rate
+    self._next_frame_time = sec_since_boot() + self._interval
+    self._print_delay_threshold = print_delay_threshold
+    self._frame = 0
+    self._remaining = 0
+    self._process_name = multiprocessing.current_process().name
+
+  @property
+  def frame(self):
+    return self._frame
+
+  @property
+  def remaining(self):
+    return self._remaining
+
+  # Maintain loop rate by calling this at the end of each loop
+  def keep_time(self):
+    lagged = self.monitor_time()
+    if self._remaining > 0:
+      time.sleep(self._remaining)
+    return lagged
+
+  # this only monitor the cumulative lag, but does not enforce a rate
+  def monitor_time(self):
+    lagged = False
+    remaining = self._next_frame_time - sec_since_boot()
+    self._next_frame_time += self._interval
+    if remaining < -self._print_delay_threshold:
+      print("%s lagging by %.2f ms" % (self._process_name, -remaining * 1000))
+      lagged = True
+    self._frame += 1
+    self._remaining = remaining
+    return lagged
+

common/sympy_helpers.py

@@ -0,0 +1,81 @@
+#!/usr/bin/env python
+import sympy as sp
+import numpy as np
+
+def cross(x):
+  ret = sp.Matrix(np.zeros((3,3)))
+  ret[0,1], ret[0,2] = -x[2], x[1]
+  ret[1,0], ret[1,2] = x[2], -x[0]
+  ret[2,0], ret[2,1] = -x[1], x[0]
+  return ret
+
+def euler_rotate(roll, pitch, yaw):
+  # make symbolic rotation matrix from eulers
+  matrix_roll =  sp.Matrix([[1, 0, 0],
+                            [0, sp.cos(roll), -sp.sin(roll)],
+                            [0, sp.sin(roll), sp.cos(roll)]])
+  matrix_pitch =  sp.Matrix([[sp.cos(pitch), 0, sp.sin(pitch)],
+                             [0, 1, 0],
+                             [-sp.sin(pitch), 0, sp.cos(pitch)]])
+  matrix_yaw =  sp.Matrix([[sp.cos(yaw), -sp.sin(yaw), 0],
+                           [sp.sin(yaw), sp.cos(yaw), 0],
+                           [0, 0, 1]])
+  return matrix_yaw*matrix_pitch*matrix_roll
+
+def quat_rotate(q0, q1, q2, q3):
+  # make symbolic rotation matrix from quat
+  return sp.Matrix([[q0**2 + q1**2 - q2**2 - q3**2, 2*(q1*q2 + q0*q3), 2*(q1*q3 - q0*q2)],
+                    [2*(q1*q2 - q0*q3), q0**2 - q1**2 + q2**2 - q3**2, 2*(q2*q3 + q0*q1)],
+                    [2*(q1*q3 + q0*q2), 2*(q2*q3 - q0*q1), q0**2 - q1**2 - q2**2 + q3**2]]).T
+
+def quat_matrix_l(p):
+  return sp.Matrix([[p[0], -p[1], -p[2], -p[3]],
+                    [p[1],  p[0], -p[3],  p[2]],
+                    [p[2],  p[3],  p[0], -p[1]],
+                    [p[3], -p[2],  p[1],  p[0]]])
+
+def quat_matrix_r(p):
+  return sp.Matrix([[p[0], -p[1], -p[2], -p[3]],
+                    [p[1],  p[0],  p[3], -p[2]],
+                    [p[2], -p[3],  p[0],  p[1]],
+                    [p[3],  p[2], -p[1],  p[0]]])
+
+
+def sympy_into_c(sympy_functions):
+  from sympy.utilities import codegen
+  routines = []
+  for name, expr, args in sympy_functions:
+    r = codegen.make_routine(name, expr, language="C99")
+
+    # argument ordering input to sympy is broken with function with output arguments
+    nargs = []
+    # reorder the input arguments
+    for aa in args:
+      if aa is None:
+        nargs.append(codegen.InputArgument(sp.Symbol('unused'), dimensions=[1,1]))
+        continue
+      found = False
+      for a in r.arguments:
+        if str(aa.name) == str(a.name):
+          nargs.append(a)
+          found = True
+          break
+      if not found:
+        # [1,1] is a hack for Matrices
+        nargs.append(codegen.InputArgument(aa, dimensions=[1,1]))
+    # add the output arguments
+    for a in r.arguments:
+      if type(a) == codegen.OutputArgument:
+        nargs.append(a)
+
+    #assert len(r.arguments) == len(args)+1
+    r.arguments = nargs
+
+    # add routine to list
+    routines.append(r)
+
+  [(c_name, c_code), (h_name, c_header)] = codegen.get_code_generator('C', 'ekf', 'C99').write(routines, "ekf")
+  c_code = '\n'.join(x for x in c_code.split("\n") if len(x) > 0 and x[0] != '#')
+  c_header = '\n'.join(x for x in  c_header.split("\n") if len(x) > 0 and x[0] != '#')
+
+  return c_header, c_code

common/testing.py

@@ -0,0 +1,9 @@
+import os
+from nose.tools import nottest
+
+def phone_only(x):
+  if os.path.isfile("/init.qcom.rc"):
+    return x
+  else:
+    return nottest(x)
+

common/transformations/camera.py

@@ -0,0 +1,202 @@
+import numpy as np
+import common.transformations.orientation as orient
+import cv2
+import math
+
+FULL_FRAME_SIZE = (1164, 874)
+W, H = FULL_FRAME_SIZE[0], FULL_FRAME_SIZE[1]
+eon_focal_length = FOCAL = 910.0
+
+# aka 'K' aka camera_frame_from_view_frame
+eon_intrinsics = np.array([
+  [FOCAL,   0.,   W/2.],
+  [  0.,  FOCAL,  H/2.],
+  [  0.,    0.,     1.]])
+
+
+leon_dcam_intrinsics = np.array([
+  [650,   0,   816//2],
+  [  0,  650,  612//2],
+  [  0,    0,     1]])
+
+eon_dcam_intrinsics = np.array([
+  [860,   0,   1152//2],
+  [  0,  860,  864//2],
+  [  0,    0,     1]])
+
+# aka 'K_inv' aka view_frame_from_camera_frame
+eon_intrinsics_inv = np.linalg.inv(eon_intrinsics)
+
+
+# device/mesh : x->forward, y-> right, z->down
+# view : x->right, y->down, z->forward
+device_frame_from_view_frame = np.array([
+  [ 0.,  0.,  1.],
+  [ 1.,  0.,  0.],
+  [ 0.,  1.,  0.]
+])
+view_frame_from_device_frame = device_frame_from_view_frame.T
+
+
+def get_calib_from_vp(vp):
+  vp_norm = normalize(vp)
+  yaw_calib = np.arctan(vp_norm[0])
+  pitch_calib = -np.arctan(vp_norm[1]*np.cos(yaw_calib))
+  roll_calib = 0
+  return roll_calib, pitch_calib, yaw_calib
+
+# aka 'extrinsic_matrix'
+# road : x->forward, y -> left, z->up
+def get_view_frame_from_road_frame(roll, pitch, yaw, height):
+  device_from_road = orient.rot_from_euler([roll, pitch, yaw]).dot(np.diag([1, -1, -1]))
+  view_from_road = view_frame_from_device_frame.dot(device_from_road)
+  return np.hstack((view_from_road, [[0], [height], [0]]))
+
+
+def vp_from_ke(m):
+  """
+  Computes the vanishing point from the product of the intrinsic and extrinsic
+  matrices C = KE.
+
+  The vanishing point is defined as lim x->infinity C (x, 0, 0, 1).T
+  """
+  return (m[0, 0]/m[2,0], m[1,0]/m[2,0])
+
+def roll_from_ke(m):
+  # note: different from calibration.h/RollAnglefromKE: i think that one's just wrong
+  return np.arctan2(-(m[1, 0] - m[1, 1] * m[2, 0] / m[2, 1]),
+                    -(m[0, 0] - m[0, 1] * m[2, 0] / m[2, 1]))
+
+
+def normalize(img_pts, intrinsics=eon_intrinsics):
+  # normalizes image coordinates
+  # accepts single pt or array of pts
+  intrinsics_inv = np.linalg.inv(intrinsics)
+  img_pts = np.array(img_pts)
+  input_shape = img_pts.shape
+  img_pts = np.atleast_2d(img_pts)
+  img_pts = np.hstack((img_pts, np.ones((img_pts.shape[0],1))))
+  img_pts_normalized = img_pts.dot(intrinsics_inv.T)
+  img_pts_normalized[(img_pts < 0).any(axis=1)] = np.nan
+  return img_pts_normalized[:,:2].reshape(input_shape)
+
+
+def denormalize(img_pts, intrinsics=eon_intrinsics):
+  # denormalizes image coordinates
+  # accepts single pt or array of pts
+  img_pts = np.array(img_pts)
+  input_shape = img_pts.shape
+  img_pts = np.atleast_2d(img_pts)
+  img_pts = np.hstack((img_pts, np.ones((img_pts.shape[0],1))))
+  img_pts_denormalized = img_pts.dot(intrinsics.T)
+  img_pts_denormalized[img_pts_denormalized[:,0] > W] = np.nan
+  img_pts_denormalized[img_pts_denormalized[:,0] < 0] = np.nan
+  img_pts_denormalized[img_pts_denormalized[:,1] > H] = np.nan
+  img_pts_denormalized[img_pts_denormalized[:,1] < 0] = np.nan
+  return img_pts_denormalized[:,:2].reshape(input_shape)
+
+
+def device_from_ecef(pos_ecef, orientation_ecef, pt_ecef):
+  # device from ecef frame
+  # device frame is x -> forward, y-> right, z -> down
+  # accepts single pt or array of pts
+  input_shape = pt_ecef.shape
+  pt_ecef = np.atleast_2d(pt_ecef)
+  ecef_from_device_rot = orient.rotations_from_quats(orientation_ecef)
+  device_from_ecef_rot = ecef_from_device_rot.T
+  pt_ecef_rel = pt_ecef - pos_ecef
+  pt_device = np.einsum('jk,ik->ij', device_from_ecef_rot, pt_ecef_rel)
+  return pt_device.reshape(input_shape)
+
+
+def img_from_device(pt_device):
+  # img coordinates from pts in device frame
+  # first transforms to view frame, then to img coords
+  # accepts single pt or array of pts
+  input_shape = pt_device.shape
+  pt_device = np.atleast_2d(pt_device)
+  pt_view = np.einsum('jk,ik->ij', view_frame_from_device_frame, pt_device)
+
+  # This function should never return negative depths
+  pt_view[pt_view[:,2] < 0] = np.nan
+
+  pt_img = pt_view/pt_view[:,2:3]
+  return pt_img.reshape(input_shape)[:,:2]
+
+
+#TODO please use generic img transform below
+def rotate_img(img, eulers, crop=None, intrinsics=eon_intrinsics):
+  size = img.shape[:2]
+  rot = orient.rot_from_euler(eulers)
+  quadrangle = np.array([[0, 0],
+                         [size[1]-1, 0],
+                         [0, size[0]-1],
+                         [size[1]-1, size[0]-1]], dtype=np.float32)
+  quadrangle_norm = np.hstack((normalize(quadrangle, intrinsics=intrinsics), np.ones((4,1))))
+  warped_quadrangle_full = np.einsum('ij, kj->ki', intrinsics.dot(rot), quadrangle_norm)
+  warped_quadrangle = np.column_stack((warped_quadrangle_full[:,0]/warped_quadrangle_full[:,2],
+                                       warped_quadrangle_full[:,1]/warped_quadrangle_full[:,2])).astype(np.float32)
+  if crop:
+    W_border = (size[1] - crop[0])/2
+    H_border = (size[0] - crop[1])/2
+    outside_crop = (((warped_quadrangle[:,0] < W_border) |
+                     (warped_quadrangle[:,0] >= size[1] - W_border)) &
+                    ((warped_quadrangle[:,1] < H_border) |
+                     (warped_quadrangle[:,1] >= size[0] - H_border)))
+    if not outside_crop.all():
+      raise ValueError("warped image not contained inside crop")
+  else:
+    H_border, W_border = 0, 0
+  M = cv2.getPerspectiveTransform(quadrangle, warped_quadrangle)
+  img_warped = cv2.warpPerspective(img, M, size[::-1])
+  return img_warped[H_border: size[0] - H_border,
+                    W_border: size[1] - W_border]
+
+
+def transform_img(base_img,
+                 augment_trans=np.array([0,0,0]),
+                 augment_eulers=np.array([0,0,0]),
+                 from_intr=eon_intrinsics,
+                 to_intr=eon_intrinsics,
+                 calib_rot_view=None,
+                 output_size=None,
+                 pretransform=None,
+                 top_hacks=True):
+  size = base_img.shape[:2]
+  if not output_size:
+    output_size = size[::-1]
+
+  cy = from_intr[1,2]
+  def get_M(h=1.22):
+    quadrangle = np.array([[0, cy + 20],
+                           [size[1]-1, cy + 20],
+                           [0, size[0]-1],
+                           [size[1]-1, size[0]-1]], dtype=np.float32)
+    quadrangle_norm = np.hstack((normalize(quadrangle, intrinsics=from_intr), np.ones((4,1))))
+    quadrangle_world = np.column_stack((h*quadrangle_norm[:,0]/quadrangle_norm[:,1],
+                                        h*np.ones(4),
+                                        h/quadrangle_norm[:,1]))
+    rot = orient.rot_from_euler(augment_eulers)
+    if calib_rot_view is not None:
+      rot = calib_rot_view.dot(rot)
+    to_extrinsics = np.hstack((rot.T, -augment_trans[:,None]))
+    to_KE = to_intr.dot(to_extrinsics)
+    warped_quadrangle_full = np.einsum('jk,ik->ij', to_KE, np.hstack((quadrangle_world, np.ones((4,1)))))
+    warped_quadrangle = np.column_stack((warped_quadrangle_full[:,0]/warped_quadrangle_full[:,2],
+                                         warped_quadrangle_full[:,1]/warped_quadrangle_full[:,2])).astype(np.float32)
+    M = cv2.getPerspectiveTransform(quadrangle, warped_quadrangle.astype(np.float32))
+    return M
+
+  M = get_M()
+  if pretransform is not None:
+    M = M.dot(pretransform)
+  augmented_rgb = cv2.warpPerspective(base_img, M, output_size, borderMode=cv2.BORDER_REPLICATE)
+
+  if top_hacks:
+    cyy = int(math.ceil(to_intr[1,2]))
+    M = get_M(1000)
+    if pretransform is not None:
+      M = M.dot(pretransform)
+    augmented_rgb[:cyy] = cv2.warpPerspective(base_img, M, (output_size[0], cyy), borderMode=cv2.BORDER_REPLICATE)
+
+  return augmented_rgb

common/transformations/coordinates.py

@@ -0,0 +1,108 @@
+import numpy as np
+"""
+Coordinate transformation module. All methods accept arrays as input
+with each row as a position.
+"""
+
+
+
+a = 6378137
+b = 6356752.3142
+esq = 6.69437999014 * 0.001
+e1sq = 6.73949674228 * 0.001
+
+
+def geodetic2ecef(geodetic, radians=False):
+  geodetic = np.array(geodetic)
+  input_shape = geodetic.shape
+  geodetic = np.atleast_2d(geodetic)
+
+  ratio = 1.0 if radians else (np.pi / 180.0)
+  lat = ratio*geodetic[:,0]
+  lon = ratio*geodetic[:,1]
+  alt = geodetic[:,2]
+
+  xi = np.sqrt(1 - esq * np.sin(lat)**2)
+  x = (a / xi + alt) * np.cos(lat) * np.cos(lon)
+  y = (a / xi + alt) * np.cos(lat) * np.sin(lon)
+  z = (a / xi * (1 - esq) + alt) * np.sin(lat)
+  ecef = np.array([x, y, z]).T
+  return ecef.reshape(input_shape)
+
+
+def ecef2geodetic(ecef, radians=False):
+  """
+  Convert ECEF coordinates to geodetic using ferrari's method
+  """
+  # Save shape and export column
+  ecef = np.atleast_1d(ecef)
+  input_shape = ecef.shape
+  ecef = np.atleast_2d(ecef)
+  x, y, z = ecef[:, 0], ecef[:, 1], ecef[:, 2]
+
+  ratio = 1.0 if radians else (180.0 / np.pi)
+
+  # Conver from ECEF to geodetic using Ferrari's methods
+  # https://en.wikipedia.org/wiki/Geographic_coordinate_conversion#Ferrari.27s_solution
+  r = np.sqrt(x * x + y * y)
+  Esq = a * a - b * b
+  F = 54 * b * b * z * z
+  G = r * r + (1 - esq) * z * z - esq * Esq
+  C = (esq * esq * F * r * r) / (pow(G, 3))
+  S = np.cbrt(1 + C + np.sqrt(C * C + 2 * C))
+  P = F / (3 * pow((S + 1 / S + 1), 2) * G * G)
+  Q = np.sqrt(1 + 2 * esq * esq * P)
+  r_0 =  -(P * esq * r) / (1 + Q) + np.sqrt(0.5 * a * a*(1 + 1.0 / Q) - \
+        P * (1 - esq) * z * z / (Q * (1 + Q)) - 0.5 * P * r * r)
+  U = np.sqrt(pow((r - esq * r_0), 2) + z * z)
+  V = np.sqrt(pow((r - esq * r_0), 2) + (1 - esq) * z * z)
+  Z_0 = b * b * z / (a * V)
+  h = U * (1 - b * b / (a * V))
+  lat = ratio*np.arctan((z + e1sq * Z_0) / r)
+  lon = ratio*np.arctan2(y, x)
+
+  # stack the new columns and return to the original shape
+  geodetic = np.column_stack((lat, lon, h))
+  return geodetic.reshape(input_shape)
+
+class LocalCoord(object):
+  """
+   Allows conversions to local frames. In this case NED.
+   That is: North East Down from the start position in
+   meters.
+  """
+  def __init__(self, init_geodetic, init_ecef):
+    self.init_ecef = init_ecef
+    lat, lon, _ = (np.pi/180)*np.array(init_geodetic)
+    self.ned2ecef_matrix = np.array([[-np.sin(lat)*np.cos(lon), -np.sin(lon), -np.cos(lat)*np.cos(lon)],
+                                     [-np.sin(lat)*np.sin(lon), np.cos(lon), -np.cos(lat)*np.sin(lon)],
+                                     [np.cos(lat), 0, -np.sin(lat)]])
+    self.ecef2ned_matrix = self.ned2ecef_matrix.T
+
+  @classmethod
+  def from_geodetic(cls, init_geodetic):
+    init_ecef = geodetic2ecef(init_geodetic)
+    return LocalCoord(init_geodetic, init_ecef)
+
+  @classmethod
+  def from_ecef(cls, init_ecef):
+    init_geodetic = ecef2geodetic(init_ecef)
+    return LocalCoord(init_geodetic, init_ecef)
+
+
+  def ecef2ned(self, ecef):
+    ecef = np.array(ecef)
+    return np.dot(self.ecef2ned_matrix, (ecef - self.init_ecef).T).T
+
+  def ned2ecef(self, ned):
+    ned = np.array(ned)
+    # Transpose so that init_ecef will broadcast correctly for 1d or 2d ned.
+    return (np.dot(self.ned2ecef_matrix, ned.T).T + self.init_ecef)
+
+  def geodetic2ned(self, geodetic):
+    ecef = geodetic2ecef(geodetic)
+    return self.ecef2ned(ecef)
+
+  def ned2geodetic(self, ned):
+    ecef = self.ned2ecef(ned)
+    return ecef2geodetic(ecef)

common/transformations/model.py

@@ -0,0 +1,141 @@
+import numpy as np
+
+from common.transformations.camera import eon_focal_length, \
+        vp_from_ke, \
+        get_view_frame_from_road_frame, \
+        FULL_FRAME_SIZE
+
+# segnet
+
+SEGNET_SIZE = (512, 384)
+
+segnet_frame_from_camera_frame = np.array([
+  [float(SEGNET_SIZE[0])/FULL_FRAME_SIZE[0],    0.,          ],
+  [     0.,          float(SEGNET_SIZE[1])/FULL_FRAME_SIZE[1]]])
+
+
+# model
+
+MODEL_INPUT_SIZE = (320, 160)
+MODEL_YUV_SIZE = (MODEL_INPUT_SIZE[0], MODEL_INPUT_SIZE[1] * 3 // 2)
+MODEL_CX = MODEL_INPUT_SIZE[0]/2.
+MODEL_CY = 21.
+
+model_zoom = 1.25
+model_height = 1.22
+
+# canonical model transform
+model_intrinsics = np.array(
+  [[ eon_focal_length / model_zoom,    0. ,  MODEL_CX],
+   [   0. ,  eon_focal_length / model_zoom,  MODEL_CY],
+   [   0. ,                            0. ,   1.]])
+
+
+# MED model
+MEDMODEL_INPUT_SIZE = (512, 256)
+MEDMODEL_YUV_SIZE = (MEDMODEL_INPUT_SIZE[0], MEDMODEL_INPUT_SIZE[1] * 3 // 2)
+MEDMODEL_CY = 47.6
+
+medmodel_zoom = 1.
+medmodel_intrinsics = np.array(
+  [[ eon_focal_length / medmodel_zoom,    0. ,  0.5 * MEDMODEL_INPUT_SIZE[0]],
+   [   0. ,  eon_focal_length / medmodel_zoom,  MEDMODEL_CY],
+   [   0. ,                            0. ,   1.]])
+
+
+# BIG model
+
+BIGMODEL_INPUT_SIZE = (864, 288)
+BIGMODEL_YUV_SIZE = (BIGMODEL_INPUT_SIZE[0], BIGMODEL_INPUT_SIZE[1] * 3 // 2)
+
+bigmodel_zoom = 1.
+bigmodel_intrinsics = np.array(
+  [[ eon_focal_length / bigmodel_zoom,    0. , 0.5 * BIGMODEL_INPUT_SIZE[0]],
+   [   0. ,  eon_focal_length / bigmodel_zoom,  0.2 * BIGMODEL_INPUT_SIZE[1]],
+   [   0. ,                            0. ,   1.]])
+
+
+bigmodel_border = np.array([
+    [0,0,1],
+    [BIGMODEL_INPUT_SIZE[0], 0, 1],
+    [BIGMODEL_INPUT_SIZE[0], BIGMODEL_INPUT_SIZE[1], 1],
+    [0, BIGMODEL_INPUT_SIZE[1], 1],
+])
+
+
+model_frame_from_road_frame = np.dot(model_intrinsics,
+  get_view_frame_from_road_frame(0, 0, 0, model_height))
+
+bigmodel_frame_from_road_frame = np.dot(bigmodel_intrinsics,
+  get_view_frame_from_road_frame(0, 0, 0, model_height))
+
+medmodel_frame_from_road_frame = np.dot(medmodel_intrinsics,
+  get_view_frame_from_road_frame(0, 0, 0, model_height))
+
+model_frame_from_bigmodel_frame = np.dot(model_intrinsics, np.linalg.inv(bigmodel_intrinsics))
+
+# 'camera from model camera'
+def get_model_height_transform(camera_frame_from_road_frame, height):
+  camera_frame_from_road_ground = np.dot(camera_frame_from_road_frame, np.array([
+      [1, 0, 0],
+      [0, 1, 0],
+      [0, 0, 0],
+      [0, 0, 1],
+  ]))
+
+  camera_frame_from_road_high = np.dot(camera_frame_from_road_frame, np.array([
+      [1, 0, 0],
+      [0, 1, 0],
+      [0, 0, height - model_height],
+      [0, 0, 1],
+  ]))
+
+  road_high_from_camera_frame = np.linalg.inv(camera_frame_from_road_high)
+  high_camera_from_low_camera = np.dot(camera_frame_from_road_ground, road_high_from_camera_frame)
+
+  return high_camera_from_low_camera
+
+
+# camera_frame_from_model_frame aka 'warp matrix'
+# was: calibration.h/CalibrationTransform
+def get_camera_frame_from_model_frame(camera_frame_from_road_frame, height=model_height):
+  vp = vp_from_ke(camera_frame_from_road_frame)
+
+  model_camera_from_model_frame = np.array([
+    [model_zoom,         0., vp[0] - MODEL_CX * model_zoom],
+    [        0., model_zoom, vp[1] - MODEL_CY * model_zoom],
+    [        0.,         0.,                            1.],
+  ])
+
+  # This function is super slow, so skip it if height is very close to canonical
+  # TODO: speed it up!
+  if abs(height - model_height) > 0.001: #
+    camera_from_model_camera = get_model_height_transform(camera_frame_from_road_frame, height)
+  else:
+    camera_from_model_camera = np.eye(3)
+
+  return np.dot(camera_from_model_camera, model_camera_from_model_frame)
+
+
+def get_camera_frame_from_bigmodel_frame(camera_frame_from_road_frame):
+  camera_frame_from_ground = camera_frame_from_road_frame[:, (0, 1, 3)]
+  bigmodel_frame_from_ground = bigmodel_frame_from_road_frame[:, (0, 1, 3)]
+
+  ground_from_bigmodel_frame = np.linalg.inv(bigmodel_frame_from_ground)
+  camera_frame_from_bigmodel_frame = np.dot(camera_frame_from_ground, ground_from_bigmodel_frame)
+
+  return camera_frame_from_bigmodel_frame
+
+
+def get_model_frame(snu_full, camera_frame_from_model_frame, size):
+  idxs = camera_frame_from_model_frame.dot(np.column_stack([np.tile(np.arange(size[0]), size[1]),
+                                                            np.tile(np.arange(size[1]), (size[0],1)).T.flatten(),
+                                                            np.ones(size[0] * size[1])]).T).T.astype(int)
+  calib_flat = snu_full[idxs[:,1], idxs[:,0]]
+  if len(snu_full.shape) == 3:
+    calib = calib_flat.reshape((size[1], size[0], 3))
+  elif len(snu_full.shape) == 2:
+    calib = calib_flat.reshape((size[1], size[0]))
+  else:
+    raise ValueError("shape of input img is weird")
+  return calib

common/transformations/orientation.py

@@ -0,0 +1,295 @@
+import numpy as np
+from numpy import dot, inner, array, linalg
+from common.transformations.coordinates import LocalCoord
+
+
+'''
+Vectorized functions that transform between
+rotation matrices, euler angles and quaternions.
+All support lists, array or array of arrays as inputs.
+Supports both x2y and y_from_x format (y_from_x preferred!).
+'''
+
+def euler2quat(eulers):
+  eulers = array(eulers)
+  if len(eulers.shape) > 1:
+    output_shape = (-1,4)
+  else:
+    output_shape = (4,)
+  eulers = np.atleast_2d(eulers)
+  gamma, theta, psi = eulers[:,0],  eulers[:,1],  eulers[:,2]
+
+  q0 = np.cos(gamma / 2) * np.cos(theta / 2) * np.cos(psi / 2) + \
+       np.sin(gamma / 2) * np.sin(theta / 2) * np.sin(psi / 2)
+  q1 = np.sin(gamma / 2) * np.cos(theta / 2) * np.cos(psi / 2) - \
+       np.cos(gamma / 2) * np.sin(theta / 2) * np.sin(psi / 2)
+  q2 = np.cos(gamma / 2) * np.sin(theta / 2) * np.cos(psi / 2) + \
+       np.sin(gamma / 2) * np.cos(theta / 2) * np.sin(psi / 2)
+  q3 = np.cos(gamma / 2) * np.cos(theta / 2) * np.sin(psi / 2) - \
+       np.sin(gamma / 2) * np.sin(theta / 2) * np.cos(psi / 2)
+
+  quats = array([q0, q1, q2, q3]).T
+  for i in xrange(len(quats)):
+    if quats[i,0] < 0:
+      quats[i] = -quats[i]
+  return quats.reshape(output_shape)
+
+
+def quat2euler(quats):
+  quats = array(quats)
+  if len(quats.shape) > 1:
+    output_shape = (-1,3)
+  else:
+    output_shape = (3,)
+  quats = np.atleast_2d(quats)
+  q0, q1, q2, q3 = quats[:,0], quats[:,1], quats[:,2], quats[:,3]
+
+  gamma = np.arctan2(2 * (q0 * q1 + q2 * q3), 1 - 2 * (q1**2 + q2**2))
+  theta = np.arcsin(2 * (q0 * q2 - q3 * q1))
+  psi = np.arctan2(2 * (q0 * q3 + q1 * q2), 1 - 2 * (q2**2 + q3**2))
+
+  eulers = array([gamma, theta, psi]).T
+  return eulers.reshape(output_shape)
+
+
+def quat2rot(quats):
+  quats = array(quats)
+  input_shape = quats.shape
+  quats = np.atleast_2d(quats)
+  Rs = np.zeros((quats.shape[0], 3, 3))
+  q0 = quats[:, 0]
+  q1 = quats[:, 1]
+  q2 = quats[:, 2]
+  q3 = quats[:, 3]
+  Rs[:, 0, 0] = q0 * q0 + q1 * q1 - q2 * q2 - q3 * q3
+  Rs[:, 0, 1] = 2 * (q1 * q2 - q0 * q3)
+  Rs[:, 0, 2] = 2 * (q0 * q2 + q1 * q3)
+  Rs[:, 1, 0] = 2 * (q1 * q2 + q0 * q3)
+  Rs[:, 1, 1] = q0 * q0 - q1 * q1 + q2 * q2 - q3 * q3
+  Rs[:, 1, 2] = 2 * (q2 * q3 - q0 * q1)
+  Rs[:, 2, 0] = 2 * (q1 * q3 - q0 * q2)
+  Rs[:, 2, 1] = 2 * (q0 * q1 + q2 * q3)
+  Rs[:, 2, 2] = q0 * q0 - q1 * q1 - q2 * q2 + q3 * q3
+
+  if len(input_shape) < 2:
+    return Rs[0]
+  else:
+    return Rs
+
+
+def rot2quat(rots):
+  input_shape = rots.shape
+  if len(input_shape) < 3:
+    rots = array([rots])
+  K3 = np.empty((len(rots), 4, 4))
+  K3[:, 0, 0] = (rots[:, 0, 0] - rots[:, 1, 1] - rots[:, 2, 2]) / 3.0
+  K3[:, 0, 1] = (rots[:, 1, 0] + rots[:, 0, 1]) / 3.0
+  K3[:, 0, 2] = (rots[:, 2, 0] + rots[:, 0, 2]) / 3.0
+  K3[:, 0, 3] = (rots[:, 1, 2] - rots[:, 2, 1]) / 3.0
+  K3[:, 1, 0] = K3[:, 0, 1]
+  K3[:, 1, 1] = (rots[:, 1, 1] - rots[:, 0, 0] - rots[:, 2, 2]) / 3.0
+  K3[:, 1, 2] = (rots[:, 2, 1] + rots[:, 1, 2]) / 3.0
+  K3[:, 1, 3] = (rots[:, 2, 0] - rots[:, 0, 2]) / 3.0
+  K3[:, 2, 0] = K3[:, 0, 2]
+  K3[:, 2, 1] = K3[:, 1, 2]
+  K3[:, 2, 2] = (rots[:, 2, 2] - rots[:, 0, 0] - rots[:, 1, 1]) / 3.0
+  K3[:, 2, 3] = (rots[:, 0, 1] - rots[:, 1, 0]) / 3.0
+  K3[:, 3, 0] = K3[:, 0, 3]
+  K3[:, 3, 1] = K3[:, 1, 3]
+  K3[:, 3, 2] = K3[:, 2, 3]
+  K3[:, 3, 3] = (rots[:, 0, 0] + rots[:, 1, 1] + rots[:, 2, 2]) / 3.0
+  q = np.empty((len(rots), 4))
+  for i in xrange(len(rots)):
+    _, eigvecs = linalg.eigh(K3[i].T)
+    eigvecs = eigvecs[:,3:]
+    q[i, 0] = eigvecs[-1]
+    q[i, 1:] = -eigvecs[:-1].flatten()
+    if q[i, 0] < 0:
+      q[i] = -q[i]
+
+  if len(input_shape) < 3:
+    return q[0]
+  else:
+    return q
+
+
+def euler2rot(eulers):
+  return rotations_from_quats(euler2quat(eulers))
+
+
+def rot2euler(rots):
+  return quat2euler(quats_from_rotations(rots))
+
+
+quats_from_rotations = rot2quat
+quat_from_rot = rot2quat
+rotations_from_quats = quat2rot
+rot_from_quat= quat2rot
+rot_from_quat= quat2rot
+euler_from_rot = rot2euler
+euler_from_quat = quat2euler
+rot_from_euler = euler2rot
+quat_from_euler = euler2quat
+
+
+
+
+
+
+'''
+Random helpers below
+'''
+
+
+def quat_product(q, r):
+  t = np.zeros(4)
+  t[0] = r[0] * q[0] - r[1] * q[1] - r[2] * q[2] - r[3] * q[3]
+  t[1] = r[0] * q[1] + r[1] * q[0] - r[2] * q[3] + r[3] * q[2]
+  t[2] = r[0] * q[2] + r[1] * q[3] + r[2] * q[0] - r[3] * q[1]
+  t[3] = r[0] * q[3] - r[1] * q[2] + r[2] * q[1] + r[3] * q[0]
+  return t
+
+
+def rot_matrix(roll, pitch, yaw):
+  cr, sr = np.cos(roll), np.sin(roll)
+  cp, sp = np.cos(pitch), np.sin(pitch)
+  cy, sy = np.cos(yaw), np.sin(yaw)
+  rr = array([[1,0,0],[0, cr,-sr],[0, sr, cr]])
+  rp = array([[cp,0,sp],[0, 1,0],[-sp, 0, cp]])
+  ry = array([[cy,-sy,0],[sy, cy,0],[0, 0, 1]])
+  return ry.dot(rp.dot(rr))
+
+
+def rot(axis, angle):
+  # Rotates around an arbitrary axis
+  ret_1 = (1 - np.cos(angle)) * array([[axis[0]**2, axis[0] * axis[1], axis[0] * axis[2]], [
+    axis[1] * axis[0], axis[1]**2, axis[1] * axis[2]
+  ], [axis[2] * axis[0], axis[2] * axis[1], axis[2]**2]])
+  ret_2 = np.cos(angle) * np.eye(3)
+  ret_3 = np.sin(angle) * array([[0, -axis[2], axis[1]], [axis[2], 0, -axis[0]],
+                              [-axis[1], axis[0], 0]])
+  return ret_1 + ret_2 + ret_3
+
+
+def ecef_euler_from_ned(ned_ecef_init, ned_pose):
+  '''
+  Got it from here:
+  Using Rotations to Build Aerospace Coordinate Systems
+  -Don Koks
+  '''
+  converter = LocalCoord.from_ecef(ned_ecef_init)
+  x0 = converter.ned2ecef([1, 0, 0]) - converter.ned2ecef([0, 0, 0])
+  y0 = converter.ned2ecef([0, 1, 0]) - converter.ned2ecef([0, 0, 0])
+  z0 = converter.ned2ecef([0, 0, 1]) - converter.ned2ecef([0, 0, 0])
+
+  x1 = rot(z0, ned_pose[2]).dot(x0)
+  y1 = rot(z0, ned_pose[2]).dot(y0)
+  z1 = rot(z0, ned_pose[2]).dot(z0)
+
+  x2 = rot(y1, ned_pose[1]).dot(x1)
+  y2 = rot(y1, ned_pose[1]).dot(y1)
+  z2 = rot(y1, ned_pose[1]).dot(z1)
+
+  x3 = rot(x2, ned_pose[0]).dot(x2)
+  y3 = rot(x2, ned_pose[0]).dot(y2)
+  #z3 = rot(x2, ned_pose[0]).dot(z2)
+
+  x0 = array([1, 0, 0])
+  y0 = array([0, 1, 0])
+  z0 = array([0, 0, 1])
+
+  psi = np.arctan2(inner(x3, y0), inner(x3, x0))
+  theta = np.arctan2(-inner(x3, z0), np.sqrt(inner(x3, x0)**2 + inner(x3, y0)**2))
+  y2 = rot(z0, psi).dot(y0)
+  z2 = rot(y2, theta).dot(z0)
+  phi = np.arctan2(inner(y3, z2), inner(y3, y2))
+
+  ret = array([phi, theta, psi])
+  return ret
+
+
+def ned_euler_from_ecef(ned_ecef_init, ecef_poses):
+  '''
+  Got the math from here:
+  Using Rotations to Build Aerospace Coordinate Systems
+  -Don Koks
+
+  Also accepts array of ecef_poses and array of ned_ecef_inits.
+  Where each row is a pose and an ecef_init.
+  '''
+  ned_ecef_init = array(ned_ecef_init)
+  ecef_poses = array(ecef_poses)
+  output_shape = ecef_poses.shape
+  ned_ecef_init = np.atleast_2d(ned_ecef_init)
+  if ned_ecef_init.shape[0] == 1:
+    ned_ecef_init = np.tile(ned_ecef_init[0], (output_shape[0], 1))
+  ecef_poses = np.atleast_2d(ecef_poses)
+
+  ned_poses = np.zeros(ecef_poses.shape)
+  for i, ecef_pose in enumerate(ecef_poses):
+    converter = LocalCoord.from_ecef(ned_ecef_init[i])
+    x0 = array([1, 0, 0])
+    y0 = array([0, 1, 0])
+    z0 = array([0, 0, 1])
+
+    x1 = rot(z0, ecef_pose[2]).dot(x0)
+    y1 = rot(z0, ecef_pose[2]).dot(y0)
+    z1 = rot(z0, ecef_pose[2]).dot(z0)
+
+    x2 = rot(y1, ecef_pose[1]).dot(x1)
+    y2 = rot(y1, ecef_pose[1]).dot(y1)
+    z2 = rot(y1, ecef_pose[1]).dot(z1)
+
+    x3 = rot(x2, ecef_pose[0]).dot(x2)
+    y3 = rot(x2, ecef_pose[0]).dot(y2)
+    #z3 = rot(x2, ecef_pose[0]).dot(z2)
+
+    x0 = converter.ned2ecef([1, 0, 0]) - converter.ned2ecef([0, 0, 0])
+    y0 = converter.ned2ecef([0, 1, 0]) - converter.ned2ecef([0, 0, 0])
+    z0 = converter.ned2ecef([0, 0, 1]) - converter.ned2ecef([0, 0, 0])
+
+    psi = np.arctan2(inner(x3, y0), inner(x3, x0))
+    theta = np.arctan2(-inner(x3, z0), np.sqrt(inner(x3, x0)**2 + inner(x3, y0)**2))
+    y2 = rot(z0, psi).dot(y0)
+    z2 = rot(y2, theta).dot(z0)
+    phi = np.arctan2(inner(y3, z2), inner(y3, y2))
+    ned_poses[i] = array([phi, theta, psi])
+
+  return ned_poses.reshape(output_shape)
+
+
+def ecef2car(car_ecef, psi, theta, points_ecef, ned_converter):
+  """
+  TODO: add roll rotation
+  Converts an array of points in ecef coordinates into
+  x-forward, y-left, z-up coordinates
+  Parameters
+  ----------
+  psi: yaw, radian
+  theta: pitch, radian
+  Returns
+  -------
+  [x, y, z] coordinates in car frame
+  """
+
+  # input is an array of points in ecef cocrdinates
+  # output is an array of points in car's coordinate (x-front, y-left, z-up)
+
+  # convert points to NED
+  points_ned = []
+  for p in points_ecef:
+    points_ned.append(ned_converter.ecef2ned_matrix.dot(array(p) - car_ecef))
+
+  points_ned = np.vstack(points_ned).T
+
+  # n, e, d -> x, y, z
+  # Calculate relative postions and rotate wrt to heading and pitch of car
+  invert_R = array([[1., 0., 0.], [0., -1., 0.], [0., 0., -1.]])
+
+  c, s = np.cos(psi), np.sin(psi)
+  yaw_R = array([[c, s, 0.], [-s, c, 0.], [0., 0., 1.]])
+
+  c, s = np.cos(theta), np.sin(theta)
+  pitch_R = array([[c, 0., -s], [0., 1., 0.], [s, 0., c]])
+
+  return dot(pitch_R, dot(yaw_R, dot(invert_R, points_ned)))

launch_chffrplus.sh

@@ -0,0 +1,34 @@
+#!/usr/bin/bash
+
+if [ -z "$PASSIVE" ]; then
+  export PASSIVE="1"
+fi
+
+function launch {
+  # apply update
+  if [ "$(git rev-parse HEAD)" != "$(git rev-parse @{u})" ]; then
+     git reset --hard @{u} &&
+     git clean -xdf &&
+     exec "${BASH_SOURCE[0]}"
+  fi
+
+  # no cpu rationing for now
+  echo 0-3 > /dev/cpuset/background/cpus
+  echo 0-3 > /dev/cpuset/system-background/cpus
+  echo 0-3 > /dev/cpuset/foreground/boost/cpus
+  echo 0-3 > /dev/cpuset/foreground/cpus
+  echo 0-3 > /dev/cpuset/android/cpus
+
+  # handle pythonpath
+  ln -s /data/openpilot /data/pythonpath
+  export PYTHONPATH="$PWD"
+
+  # start manager
+  cd selfdrive
+  ./manager.py
+
+  # if broken, keep on screen error
+  while true; do sleep 1; done
+}
+
+launch

launch_openpilot.sh

@@ -0,0 +1,5 @@
+#!/usr/bin/bash
+
+export PASSIVE="0"
+exec ./launch_chffrplus.sh
+

opendbc/.gitignore

@@ -0,0 +1,2 @@
+*.pyc
+.*.swp

opendbc/README.md

@@ -0,0 +1,53 @@
+opendbc
+======
+
+The project to democratize access to the decoder ring of your car.
+
+
+
+### DBC file basics
+
+A DBC file encodes, in a humanly readable way, the information needed to understand a vehicle's CAN bus traffic. A vehicle might have multiple CAN buses and every CAN bus is represented by its own dbc file.
+Wondering what's the DBC file format? [Here](http://www.socialledge.com/sjsu/index.php?title=DBC_Format) and [Here](https://github.com/stefanhoelzl/CANpy/blob/master/docs/DBC_Specification.md) a couple of good overviews.
+
+### How to start reverse engineering cars
+
+[opendbc](https://github.com/commaai/opendbc) is integrated with [cabana](https://community.comma.ai/cabana/).
+
+Use [panda](https://github.com/commaai/panda) to connect your car to a computer.
+
+### DBC file preprocessor
+
+DBC files for different models of the same brand have a lot of overlap. Therefore, we wrote a preprocessor to create DBC files from a brand DBC file and a model specific DBC file. The source DBC files can be found in the generator folder. After changing one of the files run the generator.py script to regenerate the output files. These output files will be placed in the root of the opendbc repository and are suffixed by _generated.
+
+### Good practices for contributing to opendbc
+
+- Comments: the best way to store comments is to add them directly to the DBC files. For example:
+    ```
+    CM_ SG_ 490 LONG_ACCEL "wheel speed derivative, noisy and zero snapping";
+    ```
+    is a comment that refers to signal `LONG_ACCEL` in message `490`. Using comments is highly recommended, especially for doubts and uncertainties. [cabana](https://community.comma.ai/cabana/) can easily display/add/edit comments to signals and messages.
+
+- Units: when applicable, it's recommended to convert signals into physical units, by using a proper signal factor. Using a SI unit is preferred, unless a non-SI unit rounds the signal factor much better.
+For example:
+    ```
+    SG_ VEHICLE_SPEED : 7|15@0+ (0.00278,0) [0|70] "m/s" PCM
+    ```
+    is better than:
+    ```
+    SG_ VEHICLE_SPEED : 7|15@0+ (0.00620,0) [0|115] "mph" PCM
+    ```
+    However, the cleanest option is really:
+    ```
+    SG_ VEHICLE_SPEED : 7|15@0+ (0.01,0) [0|250] "kph" PCM
+    ```
+
+- Signal's size: always use the smallest amount of bits possible. For example, let's say I'm reverse engineering the gas pedal position and I've determined that it's in a 3 bytes message. For 0% pedal position I read a message value of `0x00 0x00 0x00`, while for 100% of pedal position I read `0x64 0x00 0x00`: clearly, the gas pedal position is within the first byte of the message and I might be tempted to define the signal `GAS_POS` as:
+    ```
+    SG_ GAS_POS : 7|8@0+ (1,0) [0|100] "%" PCM
+    ```
+    However, I can't be sure that the very first bit of the message is referred to the pedal position: I haven't seen it changing! Therefore, a safer way of defining the signal is:
+    ```
+    SG_ GAS_POS : 6|7@0+ (1,0) [0|100] "%" PCM
+    ```
+    which leaves the first bit unallocated. This prevents from very erroneous reading of the gas pedal position, in case the first bit is indeed used for something else.