Merge remote-tracking branch 'sunnypilot/sunnypilot/master' into SunnyLateral

# Conflicts:
#	opendbc_repo
This commit is contained in:
Jason Wen
2025-08-29 23:22:08 -04:00
12 changed files with 282 additions and 19 deletions
+17
View File
@@ -1,3 +1,20 @@
#!/usr/bin/env bash
set -euo pipefail
IFS=$'\n\t'
# On any failure, run the fallback launcher
trap 'exec ./launch_chffrplus.sh' ERR
C3_LAUNCH_SH="./sunnypilot/system/hardware/c3/launch_chffrplus.sh"
MODEL="$(tr -d '\0' < "/sys/firmware/devicetree/base/model")"
export MODEL
if [ "$MODEL" = "comma tici" ]; then
# Force a failure if the launcher doesn't exist
[ -x "$C3_LAUNCH_SH" ] || false
# If it exists, run it
exec "$C3_LAUNCH_SH"
fi
exec ./launch_chffrplus.sh
+2
View File
@@ -95,6 +95,8 @@ class Controls(ControlsExt, ModelStateBase):
self.LaC.update_live_torque_params(torque_params.latAccelFactorFiltered, torque_params.latAccelOffsetFiltered,
torque_params.frictionCoefficientFiltered)
self.LaC.extension.update_limits()
self.LaC.extension.update_model_v2(self.sm['modelV2'])
self.lat_delay = get_lat_delay(self.params, self.sm["liveDelay"].lateralDelay)
+7 -7
View File
@@ -35,7 +35,7 @@ class LatControlTorque(LatControl):
self.update_limits()
self.steering_angle_deadzone_deg = self.torque_params.steeringAngleDeadzoneDeg
self.extension = LatControlTorqueExt(self, CP, CP_SP)
self.extension = LatControlTorqueExt(self, CP, CP_SP, CI)
def update_live_torque_params(self, latAccelFactor, latAccelOffset, friction):
self.torque_params.latAccelFactor = latAccelFactor
@@ -73,12 +73,6 @@ class LatControlTorque(LatControl):
ff = gravity_adjusted_lateral_accel
ff += get_friction(desired_lateral_accel - actual_lateral_accel, lateral_accel_deadzone, FRICTION_THRESHOLD, self.torque_params)
# Lateral acceleration torque controller extension updates
# Overrides stock ff and pid_log.error
ff, pid_log = self.extension.update(CS, VM, params, ff, pid_log, setpoint, measurement, calibrated_pose, roll_compensation,
desired_lateral_accel, actual_lateral_accel, lateral_accel_deadzone, gravity_adjusted_lateral_accel,
desired_curvature, actual_curvature)
freeze_integrator = steer_limited_by_safety or CS.steeringPressed or CS.vEgo < 5
output_lataccel = self.pid.update(pid_log.error,
feedforward=ff,
@@ -86,6 +80,12 @@ class LatControlTorque(LatControl):
freeze_integrator=freeze_integrator)
output_torque = self.torque_from_lateral_accel(output_lataccel, self.torque_params)
# Lateral acceleration torque controller extension updates
# Overrides pid_log.error and output_torque
pid_log, output_torque = self.extension.update(CS, VM, self.pid, params, ff, pid_log, setpoint, measurement, calibrated_pose, roll_compensation,
desired_lateral_accel, actual_lateral_accel, lateral_accel_deadzone, gravity_adjusted_lateral_accel,
desired_curvature, actual_curvature, steer_limited_by_safety, output_torque)
pid_log.active = True
pid_log.p = float(self.pid.p)
pid_log.i = float(self.pid.i)
@@ -9,23 +9,28 @@ from openpilot.sunnypilot.selfdrive.controls.lib.nnlc.nnlc import NeuralNetworkL
class LatControlTorqueExt(NeuralNetworkLateralControl):
def __init__(self, lac_torque, CP, CP_SP):
super().__init__(lac_torque, CP, CP_SP)
def __init__(self, lac_torque, CP, CP_SP, CI):
super().__init__(lac_torque, CP, CP_SP, CI)
def update(self, CS, VM, params, ff, pid_log, setpoint, measurement, calibrated_pose, roll_compensation,
def update(self, CS, VM, pid, params, ff, pid_log, setpoint, measurement, calibrated_pose, roll_compensation,
desired_lateral_accel, actual_lateral_accel, lateral_accel_deadzone, gravity_adjusted_lateral_accel,
desired_curvature, actual_curvature):
desired_curvature, actual_curvature, steer_limited_by_safety, output_torque):
self._ff = ff
self._pid = pid
self._pid_log = pid_log
self._setpoint = setpoint
self._measurement = measurement
self._roll_compensation = roll_compensation
self._lateral_accel_deadzone = lateral_accel_deadzone
self._desired_lateral_accel = desired_lateral_accel
self._actual_lateral_accel = actual_lateral_accel
self._desired_curvature = desired_curvature
self._actual_curvature = actual_curvature
self._gravity_adjusted_lateral_accel = gravity_adjusted_lateral_accel
self._steer_limited_by_safety = steer_limited_by_safety
self._output_torque = output_torque
self.update_calculations(CS, VM, desired_lateral_accel)
self.update_neural_network_feedforward(CS, params, calibrated_pose)
return self._ff, self._pid_log
return self._pid_log, self._output_torque
@@ -7,6 +7,7 @@ See the LICENSE.md file in the root directory for more details.
import math
import numpy as np
from openpilot.common.pid import PIDController
from openpilot.selfdrive.controls.lib.drive_helpers import CONTROL_N
from openpilot.selfdrive.modeld.constants import ModelConstants
@@ -43,9 +44,10 @@ def get_lookahead_value(future_vals, current_val):
class LatControlTorqueExtBase:
def __init__(self, lac_torque, CP, CP_SP):
def __init__(self, lac_torque, CP, CP_SP, CI):
self.model_v2 = None
self.model_valid = False
self.lac_torque = lac_torque
self.torque_params = lac_torque.torque_params
self.actual_lateral_jerk: float = 0.0
@@ -53,17 +55,22 @@ class LatControlTorqueExtBase:
self.lateral_jerk_measurement: float = 0.0
self.lookahead_lateral_jerk: float = 0.0
self.torque_from_lateral_accel = lac_torque.torque_from_lateral_accel
self.torque_from_lateral_accel_in_torque_space = CI.torque_from_lateral_accel_in_torque_space()
self._ff = 0.0
self._pid = PIDController(0.0, 0.0, k_f=0.0)
self._pid_log = None
self._setpoint = 0.0
self._measurement = 0.0
self._roll_compensation = 0.0
self._lateral_accel_deadzone = 0.0
self._desired_lateral_accel = 0.0
self._actual_lateral_accel = 0.0
self._desired_curvature = 0.0
self._actual_curvature = 0.0
self._gravity_adjusted_lateral_accel = 0.0
self._steer_limited_by_safety = False
self._output_torque = 0.0
# twilsonco's Lateral Neural Network Feedforward
# Instantaneous lateral jerk changes very rapidly, making it not useful on its own,
+37 -3
View File
@@ -9,6 +9,8 @@ import math
import numpy as np
from opendbc.car.lateral import FRICTION_THRESHOLD, get_friction
from opendbc.sunnypilot.car.interfaces import LatControlInputs
from opendbc.sunnypilot.car.lateral_ext import get_friction as get_friction_in_torque_space
from openpilot.common.filter_simple import FirstOrderFilter
from openpilot.common.params import Params
from openpilot.selfdrive.modeld.constants import ModelConstants
@@ -30,8 +32,8 @@ def roll_pitch_adjust(roll, pitch):
class NeuralNetworkLateralControl(LatControlTorqueExtBase):
def __init__(self, lac_torque, CP, CP_SP):
super().__init__(lac_torque, CP, CP_SP)
def __init__(self, lac_torque, CP, CP_SP, CI):
super().__init__(lac_torque, CP, CP_SP, CI)
self.params = Params()
self.enabled = self.params.get_bool("NeuralNetworkLateralControl")
self.has_nn_model = CP_SP.neuralNetworkLateralControl.model.path != MOCK_MODEL_PATH
@@ -57,14 +59,44 @@ class NeuralNetworkLateralControl(LatControlTorqueExtBase):
self.error_deque = deque(maxlen=history_check_frames[0])
self.past_future_len = len(self.past_times) + len(self.nn_future_times)
@property
def _nnlc_enabled(self):
return self.enabled and self.model_valid and self.has_nn_model
def update_limits(self):
if not self._nnlc_enabled:
return
self._pid.set_limits(self.lac_torque.steer_max, -self.lac_torque.steer_max)
def update_lateral_lag(self, lag):
super().update_lateral_lag(lag)
self.nn_future_times = [t + self.desired_lat_jerk_time for t in self.future_times]
def update_feedforward_torque_space(self, CS):
torque_from_setpoint = self.torque_from_lateral_accel_in_torque_space(LatControlInputs(self._setpoint, self._roll_compensation, CS.vEgo, CS.aEgo),
self.torque_params, gravity_adjusted=False)
torque_from_measurement = self.torque_from_lateral_accel_in_torque_space(LatControlInputs(self._measurement, self._roll_compensation, CS.vEgo, CS.aEgo),
self.torque_params, gravity_adjusted=False)
self._pid_log.error = float(torque_from_setpoint - torque_from_measurement)
self._ff = self.torque_from_lateral_accel_in_torque_space(LatControlInputs(self._gravity_adjusted_lateral_accel, self._roll_compensation,
CS.vEgo, CS.aEgo), self.torque_params, gravity_adjusted=True)
self._ff += get_friction_in_torque_space(self._desired_lateral_accel - self._actual_lateral_accel, self._lateral_accel_deadzone,
FRICTION_THRESHOLD, self.torque_params)
def update_output_torque(self, CS):
freeze_integrator = self._steer_limited_by_safety or CS.steeringPressed or CS.vEgo < 5
self._output_torque = self._pid.update(self._pid_log.error,
feedforward=self._ff,
speed=CS.vEgo,
freeze_integrator=freeze_integrator)
def update_neural_network_feedforward(self, CS, params, calibrated_pose) -> None:
if not self.enabled or not self.model_valid or not self.has_nn_model:
if not self._nnlc_enabled:
return
self.update_feedforward_torque_space(CS)
low_speed_factor = float(np.interp(CS.vEgo, LOW_SPEED_X, LOW_SPEED_Y)) ** 2
self._setpoint = self._desired_lateral_accel + low_speed_factor * self._desired_curvature
self._measurement = self._actual_lateral_accel + low_speed_factor * self._actual_curvature
@@ -128,3 +160,5 @@ class NeuralNetworkLateralControl(LatControlTorqueExtBase):
# apply friction override for cars with low NN friction response
if self.model.friction_override:
self._pid_log.error += get_friction(friction_input, self._lateral_accel_deadzone, FRICTION_THRESHOLD, self.torque_params)
self.update_output_torque(CS)
@@ -3,6 +3,7 @@ from parameterized import parameterized
from cereal import car, log, messaging
from opendbc.car.car_helpers import interfaces
from opendbc.car.gm.values import CAR as GM
from opendbc.car.honda.values import CAR as HONDA
from opendbc.car.hyundai.values import CAR as HYUNDAI
from opendbc.car.toyota.values import CAR as TOYOTA
@@ -41,7 +42,7 @@ def generate_modelV2():
class TestNeuralNetworkLateralControl:
@parameterized.expand([HONDA.HONDA_CIVIC, TOYOTA.TOYOTA_RAV4, HYUNDAI.HYUNDAI_SANTA_CRUZ_1ST_GEN])
@parameterized.expand([HONDA.HONDA_CIVIC, TOYOTA.TOYOTA_RAV4, HYUNDAI.HYUNDAI_SANTA_CRUZ_1ST_GEN, GM.CHEVROLET_BOLT_EUV])
def test_saturation(self, car_name):
params = Params()
params.put_bool("NeuralNetworkLateralControl", True)
@@ -57,6 +58,7 @@ class TestNeuralNetworkLateralControl:
VM = VehicleModel(CP)
controller = LatControlTorque(CP.as_reader(), CP_SP.as_reader(), CI)
torque_params = CP.lateralTuning.torque
CS = car.CarState.new_message()
CS.vEgo = 30
@@ -77,17 +79,23 @@ class TestNeuralNetworkLateralControl:
for _ in range(1000):
controller.extension.update_model_v2(model_v2)
controller.extension.update_lateral_lag(test_lag)
controller.update_live_torque_params(torque_params.latAccelFactor, torque_params.latAccelOffset, torque_params.friction)
controller.extension.update_limits()
_, _, lac_log = controller.update(True, CS, VM, params, False, 0, pose, True)
assert lac_log.saturated
for _ in range(1000):
controller.extension.update_model_v2(model_v2)
controller.extension.update_lateral_lag(test_lag)
controller.update_live_torque_params(torque_params.latAccelFactor, torque_params.latAccelOffset, torque_params.friction)
controller.extension.update_limits()
_, _, lac_log = controller.update(True, CS, VM, params, False, 0, pose, False)
assert not lac_log.saturated
for _ in range(1000):
controller.extension.update_model_v2(model_v2)
controller.extension.update_lateral_lag(test_lag)
controller.update_live_torque_params(torque_params.latAccelFactor, torque_params.latAccelOffset, torque_params.friction)
controller.extension.update_limits()
_, _, lac_log = controller.update(True, CS, VM, params, False, 1, pose, False)
assert lac_log.saturated
+3
View File
@@ -0,0 +1,3 @@
# C3 specific hardware code
`c3` is known as `tici` and comma three by comma. Not to confuse it with `c3x` which is known as `tizi`.
+84
View File
@@ -0,0 +1,84 @@
[
{
"name": "xbl",
"url": "https://commadist.azureedge.net/agnosupdate/xbl-effa23294138e2297b85a5b482a885184c437b5ab25d74f2a62d4fce4e68f63b.img.xz",
"hash": "effa23294138e2297b85a5b482a885184c437b5ab25d74f2a62d4fce4e68f63b",
"hash_raw": "effa23294138e2297b85a5b482a885184c437b5ab25d74f2a62d4fce4e68f63b",
"size": 3282256,
"sparse": false,
"full_check": true,
"has_ab": true,
"ondevice_hash": "ed61a650bea0c56652dd0fc68465d8fc722a4e6489dc8f257630c42c6adcdc89"
},
{
"name": "xbl_config",
"url": "https://commadist.azureedge.net/agnosupdate/xbl_config-63d019efed684601f145ef37628e62c8da73f5053a8e51d7de09e72b8b11f97c.img.xz",
"hash": "63d019efed684601f145ef37628e62c8da73f5053a8e51d7de09e72b8b11f97c",
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"size": 98124,
"sparse": false,
"full_check": true,
"has_ab": true,
"ondevice_hash": "b12801ffaa81e58e3cef914488d3b447e35483ba549b28c6cd9deb4814c3265f"
},
{
"name": "abl",
"url": "https://commadist.azureedge.net/agnosupdate/abl-32a2174b5f764e95dfc54cf358ba01752943b1b3b90e626149c3da7d5f1830b6.img.xz",
"hash": "32a2174b5f764e95dfc54cf358ba01752943b1b3b90e626149c3da7d5f1830b6",
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"full_check": true,
"has_ab": true,
"ondevice_hash": "32a2174b5f764e95dfc54cf358ba01752943b1b3b90e626149c3da7d5f1830b6"
},
{
"name": "aop",
"url": "https://commadist.azureedge.net/agnosupdate/aop-21370172e590bd4ea907a558bcd6df20dc7a6c7d38b8e62fdde18f4a512ba9e9.img.xz",
"hash": "21370172e590bd4ea907a558bcd6df20dc7a6c7d38b8e62fdde18f4a512ba9e9",
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"size": 184364,
"sparse": false,
"full_check": true,
"has_ab": true,
"ondevice_hash": "c1be2f4aac5b3af49b904b027faec418d05efd7bd5144eb4fdfcba602bcf2180"
},
{
"name": "devcfg",
"url": "https://commadist.azureedge.net/agnosupdate/devcfg-d7d7e52963bbedbbf8a7e66847579ca106a0a729ce2cf60f4b8d8ea4b535d620.img.xz",
"hash": "d7d7e52963bbedbbf8a7e66847579ca106a0a729ce2cf60f4b8d8ea4b535d620",
"hash_raw": "d7d7e52963bbedbbf8a7e66847579ca106a0a729ce2cf60f4b8d8ea4b535d620",
"size": 40336,
"sparse": false,
"full_check": true,
"has_ab": true,
"ondevice_hash": "17b229668b20305ff8fa3cd5f94716a3aaa1e5bf9d1c24117eff7f2f81ae719f"
},
{
"name": "boot",
"url": "https://commadist.azureedge.net/agnosupdate/boot-0191529aa97d90d1fa04b472d80230b777606459e1e1e9e2323c9519839827b4.img.xz",
"hash": "0191529aa97d90d1fa04b472d80230b777606459e1e1e9e2323c9519839827b4",
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"full_check": true,
"has_ab": true,
"ondevice_hash": "492ae27f569e8db457c79d0e358a7a6297d1a1c685c2b1ae6deba7315d3a6cb0"
},
{
"name": "system",
"url": "https://commadist.azureedge.net/agnosupdate/system-e0007afa5d1026671c1943d44bb7f7ad26259f673392dd00a03073a2870df087.img.xz",
"hash": "1468d50b7ad0fda0f04074755d21e786e3b1b6ca5dd5b17eb2608202025e6126",
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"full_check": false,
"has_ab": true,
"ondevice_hash": "242aa5adad1c04e1398e00e2440d1babf962022eb12b89adf2e60ee3068946e7",
"alt": {
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"url": "https://commadist.azureedge.net/agnosupdate/system-e0007afa5d1026671c1943d44bb7f7ad26259f673392dd00a03073a2870df087.img",
"size": 5368709120
}
}
]
+92
View File
@@ -0,0 +1,92 @@
#!/usr/bin/env bash
SP_C3_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null && pwd )"
DIR="$( cd "$SP_C3_DIR/../../../.." >/dev/null 2>&1 && pwd )"
source "$SP_C3_DIR/launch_env.sh"
function agnos_init {
# TODO: move this to agnos
sudo rm -f /data/etc/NetworkManager/system-connections/*.nmmeta
# set success flag for current boot slot
sudo abctl --set_success
# TODO: do this without udev in AGNOS
# udev does this, but sometimes we startup faster
sudo chgrp gpu /dev/adsprpc-smd /dev/ion /dev/kgsl-3d0
sudo chmod 660 /dev/adsprpc-smd /dev/ion /dev/kgsl-3d0
if [ $(< /VERSION) != "$AGNOS_VERSION" ]; then
AGNOS_PY="$DIR/system/hardware/tici/agnos.py"
MANIFEST="$SP_C3_DIR/agnos.json"
if $AGNOS_PY --verify $MANIFEST; then
sudo reboot
fi
$DIR/system/hardware/tici/updater $AGNOS_PY $MANIFEST
fi
}
function launch {
# Remove orphaned git lock if it exists on boot
[ -f "$DIR/.git/index.lock" ] && rm -f $DIR/.git/index.lock
# Check to see if there's a valid overlay-based update available. Conditions
# are as follows:
#
# 1. The DIR init file has to exist, with a newer modtime than anything in
# the DIR Git repo. This checks for local development work or the user
# switching branches/forks, which should not be overwritten.
# 2. The FINALIZED consistent file has to exist, indicating there's an update
# that completed successfully and synced to disk.
if [ -f "${DIR}/.overlay_init" ]; then
find ${DIR}/.git -newer ${DIR}/.overlay_init | grep -q '.' 2> /dev/null
if [ $? -eq 0 ]; then
echo "${DIR} has been modified, skipping overlay update installation"
else
if [ -f "${STAGING_ROOT}/finalized/.overlay_consistent" ]; then
if [ ! -d /data/safe_staging/old_openpilot ]; then
echo "Valid overlay update found, installing"
LAUNCHER_LOCATION="${BASH_SOURCE[0]}"
mv $DIR /data/safe_staging/old_openpilot
mv "${STAGING_ROOT}/finalized" $DIR
cd $DIR
echo "Restarting launch script ${LAUNCHER_LOCATION}"
unset AGNOS_VERSION
exec "${LAUNCHER_LOCATION}"
else
echo "openpilot backup found, not updating"
# TODO: restore backup? This means the updater didn't start after swapping
fi
fi
fi
fi
# handle pythonpath
ln -sfn $(pwd) /data/pythonpath
export PYTHONPATH="$PWD"
# hardware specific init
if [ -f /AGNOS ]; then
agnos_init
fi
# write tmux scrollback to a file
tmux capture-pane -pq -S-1000 > /tmp/launch_log
# start manager
cd $DIR/system/manager
if [ ! -f $DIR/prebuilt ]; then
./build.py
fi
./manager.py
# if broken, keep on screen error
while true; do sleep 1; done
}
launch
+11
View File
@@ -0,0 +1,11 @@
#!/usr/bin/env bash
export OMP_NUM_THREADS=1
export MKL_NUM_THREADS=1
export NUMEXPR_NUM_THREADS=1
export OPENBLAS_NUM_THREADS=1
export VECLIB_MAXIMUM_THREADS=1
if [ -z "$AGNOS_VERSION" ]; then
export AGNOS_VERSION="12.8"
fi