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Author SHA1 Message Date
discountchubbs 563fa3c782 sharp curvies have some issues :O 2026-10-19 13:38:52 -07:00
discountchubbs 0b3459fbdc decay trust when model intends to move plant off lane. think going around cones and stuff 2026-10-19 13:10:03 -07:00
discountchubbs 54a22bd8bd blended correction over .3 s 2026-10-19 12:54:53 -07:00
discountchubbs 6c674810ee default to 1.0 while i test variable weighting 2026-10-19 12:38:16 -07:00
discountchubbs e64f67ec7e red diff that 2026-10-19 12:36:35 -07:00
discountchubbs 9c7655c45e modeld_v2: blended laneful using weighted stds 2026-10-19 12:11:27 -07:00
discountchubbs 60c6464a14 Merge remote-tracking branch 'origin/master' into laneful-curves
# Conflicts:
#	openpilot/selfdrive/ui/mici/onroad/model_renderer.py
#	openpilot/sunnypilot/modeld_v2/modeld.py
2026-10-19 12:08:14 -07:00
royjr bf93807e7b simple 2026-10-18 01:06:10 -04:00
royjr f54f2d462e settings 2026-10-18 00:15:49 -04:00
royjr 80494ec3cf init 2026-10-18 00:15:48 -04:00
11 changed files with 238 additions and 4 deletions
+1
View File
@@ -465,6 +465,7 @@ struct ModelDataV2SP @0xa1680744031fdb2d {
laneTurnDirection @0 :TurnDirection;
leftLaneChangeEdgeBlock @1 :Bool;
rightLaneChangeEdgeBlock @2 :Bool;
lanefulCurvature @3 :Float32;
enum TurnDirection {
none @0;
+1
View File
@@ -256,6 +256,7 @@ inline static std::unordered_map<std::string, ParamKeyAttributes> keys = {
{"LagdValueCache", {PERSISTENT, FLOAT, "0.2"}},
{"LaneTurnDesire", {PERSISTENT | BACKUP, BOOL, "0"}},
{"LaneTurnValue", {PERSISTENT | BACKUP, FLOAT, "19.0"}},
{"Laneful", {PERSISTENT | BACKUP, BOOL, "0"}},
{"PlanplusControl", {PERSISTENT | BACKUP, FLOAT, "1.0"}},
// mapd
@@ -206,6 +206,8 @@ class AugmentedRoadView(CameraView):
def _handle_mouse_release(self, mouse_pos: MousePos):
# Don't trigger click callback if bookmark was triggered
if not self._bookmark_icon.interacting():
if self._model_renderer.laneful.handle_tap(mouse_pos):
return
super()._handle_mouse_release(mouse_pos)
def _render(self, _):
@@ -141,6 +141,7 @@ class ModelRenderer(Widget, ModelRendererSP):
if ui_state.status != UIStatus.DISENGAGED:
self._draw_lane_lines()
self._draw_path()
self.laneful.draw(self._rect)
if render_lead_indicator:
self._update_leads(sm)
@@ -219,6 +220,7 @@ class ModelRenderer(Widget, ModelRendererSP):
# Update road edges using raw points
for road_edge in self._road_edges:
road_edge.projected_points = self._map_line_to_polygon(road_edge.raw_points, line_width_factor, 0.0, max_idx)
self.laneful.update(self, max_idx)
# Update path using raw points
if lead and lead.present:
@@ -0,0 +1,21 @@
"""
Copyright (c) 2021-, sunnypilot, and a number of other contributors.
This file is part of sunnypilot and is licensed under the MIT License.
See the LICENSE.md file in the root directory for more details.
"""
from openpilot.selfdrive.ui.mici.widgets.button import BigParamControl
from openpilot.system.ui.widgets.scroller import NavScroller
class LanefulLayoutMici(NavScroller):
def __init__(self):
super().__init__()
self._toggle = BigParamControl("laneful", "Laneful",
description="Keeps the car centered in its lane.\n" +
"Leans on the lane lines when they are clear, drives laneless when they are not.")
self._scroller.add_widget(self._toggle)
def show_event(self):
super().show_event()
self._toggle.refresh()
@@ -11,6 +11,7 @@ from openpilot.selfdrive.ui.mici.widgets.button import BigCircleButton
from openpilot.selfdrive.ui.mici.widgets.dialog import BigConfirmationDialog, BigDialog
from openpilot.selfdrive.ui.sunnypilot.mici.layouts.sunnylink import SunnylinkLayoutMici
from openpilot.selfdrive.ui.sunnypilot.mici.layouts.models import ModelsLayoutMici
from openpilot.selfdrive.ui.sunnypilot.mici.layouts.laneful import LanefulLayoutMici
from openpilot.selfdrive.ui.ui_state import ui_state
from openpilot.system.ui.lib.application import gui_app, FontWeight
from openpilot.system.ui.lib.multilang import tr
@@ -50,6 +51,10 @@ class SettingsLayoutSP(OP.SettingsLayout):
models_btn = SettingsBigButton(tr("models"), "", gui_app.texture("../../sunnypilot/selfdrive/assets/offroad/icon_models.png", ICON_SIZE, ICON_SIZE))
models_btn.set_click_callback(lambda: gui_app.push_widget(models_panel))
laneful_panel = LanefulLayoutMici()
laneful_btn = SettingsBigButton(tr("laneful"), "", gui_app.texture("icons_mici/settings/device/lkas.png", ICON_SIZE, ICON_SIZE))
laneful_btn.set_click_callback(lambda: gui_app.push_widget(laneful_panel))
# onroad: enable button sits at the front (left of toggles)
self._enable_offroad_btn_onroad = BigCircleButton(self.icon_offroad_enable, red=True)
self._enable_offroad_btn_onroad.set_click_callback(lambda: self._handle_always_offroad(True))
@@ -67,7 +72,8 @@ class SettingsLayoutSP(OP.SettingsLayout):
items = self._scroller._items.copy()
items.insert(1, models_btn)
items.insert(5, sunnylink_btn)
items.insert(2, laneful_btn)
items.insert(6, sunnylink_btn)
# front slots (only one ever visible at a time): exit-always-offroad, then enable-onroad
items.insert(0, self._enable_offroad_btn_onroad)
@@ -0,0 +1,117 @@
"""
Copyright (c) 2021-, sunnypilot, and a number of other contributors.
This file is part of sunnypilot and is licensed under the MIT License.
See the LICENSE.md file in the root directory for more details.
Laneful visuals: cyan lane-center target, thin white "after" path (model path bent by laneful's nudge),
and a top-center readout of the pull, from the curvature modeld publishes in modelDataV2SP.lanefulCurvature.
"""
import numpy as np
import pyray as rl
from openpilot.common.filter_simple import FirstOrderFilter
from openpilot.common.realtime import DT_MDL
from openpilot.selfdrive.ui.ui_state import ui_state
from openpilot.sunnypilot.modeld_v2.laneful import LOOKAHEAD_TIME, MIN_LOOKAHEAD, MAX_ERROR
from openpilot.system.ui.lib.application import gui_app, FontWeight
from openpilot.system.ui.lib.shader_polygon import draw_polygon
from openpilot.system.ui.lib.text_measure import measure_text_cached
CENTER_COLOR = (0, 200, 255)
AFTER_COLOR = (255, 255, 255)
class LanefulRenderer:
def __init__(self):
self._center_points = np.empty((0, 2), dtype=np.float32)
self._after_points = np.empty((0, 2), dtype=np.float32)
self._trust = 0.0
self._font = gui_app.font(FontWeight.BOLD)
# smoothed copies for the readout so the numbers don't flicker
self._pull_display = FirstOrderFilter(0.0, 0.5, DT_MDL)
self._trust_display = FirstOrderFilter(0.0, 0.5, DT_MDL)
self._alpha = FirstOrderFilter(0.0, 0.3, DT_MDL) # fades that hoe
self._readout_rect: rl.Rectangle | None = None
self._settings_page = None
def update(self, renderer, max_idx: int) -> None:
"""Called from the model renderer's update with its lane lines and path already in raw points."""
laneful_curvature = ui_state.sm['modelDataV2SP'].lanefulCurvature
self._alpha.update(float(laneful_curvature != 0.0))
left, right = renderer._lane_lines[1].raw_points, renderer._lane_lines[2].raw_points
stds = list(ui_state.sm['modelV2'].laneLineStds)
if self._alpha.x < 0.01 or len(left) == 0 or len(right) != len(left) or len(stds) < 3:
self._center_points = np.empty((0, 2), dtype=np.float32)
self._after_points = np.empty((0, 2), dtype=np.float32)
return
probs = renderer._lane_line_probs
l_prob = float(probs[1] * np.interp(stds[1], [0.15, 0.3], [1.0, 0.0]))
r_prob = float(probs[2] * np.interp(stds[2], [0.15, 0.3], [1.0, 0.0]))
width = np.clip(right[:, 1] - left[:, 1], 2.8, 4.5) if l_prob * r_prob > 0.5 else 3.7
center = left.copy()
center[:, 1] = (l_prob * (left[:, 1] + width / 2) + r_prob * (right[:, 1] - width / 2)) / (l_prob + r_prob + 1e-4)
self._trust = l_prob + r_prob - l_prob * r_prob
self._center_points = renderer._map_line_to_polygon(center, 0.1, 0.0, max_idx)
# "after" path: model path bent by laneful's curvature, ending at the lookahead
path = renderer._path.raw_points
lookahead = max(ui_state.sm['carState'].vEgo * LOOKAHEAD_TIME, MIN_LOOKAHEAD)
self._pull_display.update(laneful_curvature * lookahead ** 2 / 2) # how far laneful moves the car at the lookahead
self._trust_display.update(self._trust)
after = path.copy()
after[:, 1] += laneful_curvature * path[:, 0] ** 2 / 2
self._after_points = renderer._map_line_to_polygon(after, 0.15, renderer._path_offset_z,
renderer._get_path_length_idx(path[:, 0], lookahead))
def _color(self, rgb, alpha: float) -> rl.Color:
return rl.Color(*rgb, int(alpha * self._alpha.x))
def draw(self, rect: rl.Rectangle) -> None:
if self._center_points.size and self._trust > 0.05:
draw_polygon(rect, self._center_points, self._color(CENTER_COLOR, np.clip(self._trust, 0.2, 1.0) * 255))
self._readout_rect = None
if self._after_points.size:
draw_polygon(rect, self._after_points, self._color(AFTER_COLOR, 200))
self._draw_readout(rect)
def handle_tap(self, pos) -> bool:
"""Tapping the readout opens the laneful settings page. Returns True if the tap was consumed."""
r = self._readout_rect
if r is None or not (r.x - 20 <= pos.x <= r.x + r.width + 20 and r.y - 20 <= pos.y <= r.y + r.height + 20):
return False
if self._settings_page is None:
from openpilot.selfdrive.ui.sunnypilot.mici.layouts.laneful import LanefulLayoutMici
self._settings_page = LanefulLayoutMici()
gui_app.push_widget(self._settings_page)
return True
def _draw_readout(self, rect: rl.Rectangle) -> None:
"""Top-center pill: pull toward lane center in cm at the lookahead, arrow = side,
bar grows from center toward the pull (full at the cap), brighter with more lane line trust."""
pull, trust = self._pull_display.x, self._trust_display.x
w, h = 190, 76
x, y = rect.x + (rect.width - w) / 2, rect.y + 10
cx, cy = x + w / 2, y + 30
self._readout_rect = rl.Rectangle(x, y, w, h)
rl.draw_rectangle_rounded(self._readout_rect, 0.5, 12, self._color((0, 0, 0), 170))
text = f"{abs(pull) * 100:.0f}"
text_w = measure_text_cached(self._font, text, 44, 0).x
rl.draw_text_ex(self._font, text, rl.Vector2(cx - text_w / 2, cy - 24), 44, 0, self._color((255, 255, 255), 255))
active = self._color(CENTER_COLOR, np.clip(abs(pull) / 0.1, 0.0, 1.0) * 255)
idle = self._color((255, 255, 255), 40)
lx, rx = x + 18, x + w - 18
rl.draw_triangle(rl.Vector2(lx, cy), rl.Vector2(lx + 16, cy + 12), rl.Vector2(lx + 16, cy - 12), active if pull < 0 else idle)
rl.draw_triangle(rl.Vector2(rx - 16, cy - 12), rl.Vector2(rx - 16, cy + 12), rl.Vector2(rx, cy), active if pull > 0 else idle)
bar = rl.Rectangle(x + 24, y + h - 16, w - 48, 6)
rl.draw_rectangle_rounded(bar, 1.0, 6, self._color((255, 255, 255), 40))
rl.draw_rectangle(int(cx - 1), int(bar.y - 2), 2, int(bar.height + 4), self._color((255, 255, 255), 120))
fill = bar.width / 2 * float(np.clip(abs(pull) / MAX_ERROR, 0.0, 1.0))
if fill > 1:
fill_x = cx if pull > 0 else cx - fill
rl.draw_rectangle_rounded(rl.Rectangle(fill_x, bar.y, fill, bar.height), 1.0, 6,
self._color(CENTER_COLOR, np.clip(0.3 + 0.7 * trust, 0.0, 1.0) * 255))
@@ -6,6 +6,7 @@ See the LICENSE.md file in the root directory for more details.
"""
import pyray as rl
from openpilot.selfdrive.ui.ui_state import UIStatus
from openpilot.selfdrive.ui.sunnypilot.mici.onroad.laneful import LanefulRenderer
from openpilot.selfdrive.ui.sunnypilot.onroad.rainbow_path import RainbowPath
LANE_LINE_COLORS_SP = {
@@ -17,3 +18,4 @@ LANE_LINE_COLORS_SP = {
class ModelRendererSP:
def __init__(self):
self.rainbow_path = RainbowPath()
self.laneful = LanefulRenderer()
@@ -36,7 +36,7 @@ class UIStateSP:
self.is_sp_release: bool = self.params.get_bool("IsReleaseSpBranch")
self.sm_services_ext = [
"modelManagerSP", "selfdriveStateSP", "longitudinalPlanSP", "backupManagerSP",
"lateralTorqueParameters", "carStateSP", "liveMapDataSP", "carParamsSP", "lateralDelay"
"lateralTorqueParameters", "carStateSP", "liveMapDataSP", "carParamsSP", "lateralDelay", "modelDataV2SP"
]
self.sunnylink_state = SunnylinkState()
+71
View File
@@ -0,0 +1,71 @@
"""
Copyright (c) 2021-, Haibin Wen, sunnypilot, and a number of other contributors.
This file is part of sunnypilot and is licensed under the MIT License.
See the LICENSE.md file in the root directory for more details.
"""
import numpy as np
from openpilot.common.filter_simple import FirstOrderFilter
from openpilot.common.realtime import DT_MDL
from openpilot.sunnypilot.modeld_v2.constants import ModelConstants
LANE_WIDTH_DEFAULT = 3.7 # m
LANE_WIDTH_CLIP = (2.8, 4.5) # m
LOOKAHEAD_TIME = 1.5 # s
MIN_LOOKAHEAD = 10.0 # m
MAX_ERROR = 1.0 # m, cap on how far laneful can pull
MIN_SPEED = 9.0 # m/s
SMOOTH_TAU = 0.3 # s
YIELD = (0.5, 1.0) # m
LINE_STD = (0.2, 0.6)
POINT_STD = 0.1
X_IDXS = np.array(ModelConstants.X_IDXS)
class Laneful:
def __init__(self):
self.lane_width = FirstOrderFilter(LANE_WIDTH_DEFAULT, 10.0, DT_MDL)
self.correction = FirstOrderFilter(0.0, SMOOTH_TAU, DT_MDL) # correcting over .3s reduces jerk
self.curvature = 0.0
def update(self, model_output: dict[str, np.ndarray], v_ego: float, active: bool, model_curvature: float) -> float:
if not active or v_ego < MIN_SPEED or 'lane_lines' not in model_output:
self.curvature = self.correction.x = 0.0
return 0.0
lookahead = max(v_ego * LOOKAHEAD_TIME, MIN_LOOKAHEAD)
lines = model_output['lane_lines'][0, :, :, 0]
stds = model_output['lane_lines_stds'][0, :, :, 0]
probs = model_output['lane_lines_prob'][0, 1::2]
l_prob = float(probs[1] * np.interp(np.interp(0.5 * lookahead, X_IDXS, stds[1]), LINE_STD, [1.0, 0.0]))
r_prob = float(probs[2] * np.interp(np.interp(0.5 * lookahead, X_IDXS, stds[2]), LINE_STD, [1.0, 0.0]))
lane_trust = l_prob + r_prob - l_prob * r_prob
if lane_trust <= 0.0:
self.curvature = self.correction.x = 0.0
return 0.0
if l_prob * r_prob > 0.5:
width = np.interp(lookahead, X_IDXS, lines[2]) - np.interp(lookahead, X_IDXS, lines[1])
self.lane_width.update(float(np.clip(width, *LANE_WIDTH_CLIP)))
half_width = self.lane_width.x / 2
win = (X_IDXS >= 0.5 * lookahead) & (X_IDXS <= 1.5 * lookahead)
x = X_IDXS[win]
l_var = stds[1, win] ** 2 / max(l_prob, 1e-4)
r_var = stds[2, win] ** 2 / max(r_prob, 1e-4)
center = (r_var * (lines[1, win] + half_width) + l_var * (lines[2, win] - half_width)) / (l_var + r_var)
weight = 1.0 / (l_var * r_var / (l_var + r_var) + POINT_STD ** 2)
# Fit curvature to place the plant in center: e ~ dk x^2 / 2
error = np.clip(center - model_curvature * x ** 2 / 2, -MAX_ERROR, MAX_ERROR)
dk = 2.0 * np.sum(weight * error * x ** 2) / np.sum(weight * x ** 4)
# A model planning to end up further off center than the plant is now is likely going around something
center_now = (l_prob * (lines[1, 0] + half_width) + r_prob * (lines[2, 0] - half_width)) / (l_prob + r_prob)
plan_y = np.interp(lookahead, model_output['plan'][0, :, 0], model_output['plan'][0, :, 1])
away = abs(plan_y - np.interp(lookahead, x, center)) - abs(center_now) - 0.15 * abs(model_curvature) * lookahead ** 2 / 2
lane_trust *= np.interp(away, YIELD, [1.0, 0.0])
self.curvature = float(self.correction.update(lane_trust * dk))
return self.curvature
+13 -2
View File
@@ -7,6 +7,7 @@ See the LICENSE.md file in the root directory for more details.
"""
from collections.abc import Callable
from functools import partial
import gc
import os
os.environ['GMMU'] = '0'
@@ -39,6 +40,7 @@ from openpilot.selfdrive.modeld.modeld import ChestnutGpuState
from openpilot.sunnypilot.modeld_v2.fill_model_msg import fill_model_msg, fill_pose_msg, PublishState, get_curvature_from_output
from openpilot.sunnypilot.modeld_v2.parse_model_outputs import Parser
from openpilot.sunnypilot.modeld_v2.laneful import Laneful
from openpilot.sunnypilot.modeld_v2.constants import ModelConstants, Plan
from openpilot.sunnypilot.modeld_v2.meta_helper import load_meta_constants
from openpilot.sunnypilot.modeld_v2.camera_offset_helper import CameraOffsetHelper
@@ -228,7 +230,8 @@ class ModelState(ModelStateBase):
return outputs
def get_action_from_model(self, model_output: dict[str, np.ndarray], prev_action: log.ModelDataV2.Action,
lat_action_t: float, long_action_t: float, v_ego: float) -> log.ModelDataV2.Action:
lat_action_t: float, long_action_t: float, v_ego: float,
laneful: Callable[[float], float] | None = None) -> log.ModelDataV2.Action:
if 'action' not in model_output:
plan = model_output['plan'][0]
desired_accel = get_accel_from_plan(plan[:, Plan.VELOCITY][:, 0], plan[:, Plan.ACCELERATION][:, 0], self.constants.T_IDXS,
@@ -240,6 +243,8 @@ class ModelState(ModelStateBase):
else:
desired_accel = model_output['action'][0, 1]
desired_curvature = model_output['action'][0, 0] / (max(1.0, v_ego))**2
if laneful is not None:
desired_curvature += laneful(desired_curvature)
stop = v_ego < 0.3 and desired_accel < 0.1
desired_accel = smooth_value(desired_accel, prev_action.desiredAcceleration, self.LONG_SMOOTH_SECONDS)
@@ -366,6 +371,8 @@ def main(demo=False):
DH = DesireHelper()
meta_constants = load_meta_constants()
RELC = RoadEdgeLaneChangeController()
laneful = Laneful()
laneful_enabled = False
while True:
# Keep receiving frames until we are at least 1 frame ahead of previous extra frame
@@ -409,6 +416,7 @@ def main(demo=False):
model.lat_delay = get_lat_delay(params, sm["lateralDelay"].lateralDelay)
model.PLANPLUS_CONTROL = params.get("PlanplusControl", return_default=True)
camera_offset_helper.set_offset(params.get("CameraOffset", return_default=True))
laneful_enabled = params.get_bool("Laneful")
lat_delay = model.lat_delay + model.LAT_SMOOTH_SECONDS
if sm.updated["extrinsicsCalibration"] and sm.seen['narrowRoadCameraState'] and sm.seen['deviceState']:
device_from_calib_euler = np.array(sm["extrinsicsCalibration"].rpyCalib, dtype=np.float32)
@@ -482,7 +490,9 @@ def main(demo=False):
if not sm['carControl'].latActive:
prev_action.desiredCurvature = sm['controlsState'].curvature
action = model.get_action_from_model(model_output, prev_action, lat_action_t, long_action_t, v_ego)
laneful_active = laneful_enabled and desire == log.Desire.none and DH.lane_change_state == log.LaneChangeState.off
action = model.get_action_from_model(model_output, prev_action, lat_action_t, long_action_t, v_ego,
partial(laneful.update, model_output, v_ego, laneful_active))
prev_action = action
fill_model_msg(drivingdata_send, modelv2_send, model_output, action,
publish_state, meta_main.frame_id, meta_extra.frame_id, frame_id,
@@ -499,6 +509,7 @@ def main(demo=False):
modelv2_send.modelV2.meta.laneChangeDirection = DH.lane_change_direction
mdv2sp_send.valid = modelv2_send.valid
mdv2sp_send.modelDataV2SP.laneTurnDirection = DH.lane_turn_direction
mdv2sp_send.modelDataV2SP.lanefulCurvature = laneful.curvature
drivingdata_send.drivingModelData.meta.laneChangeState = DH.lane_change_state
drivingdata_send.drivingModelData.meta.laneChangeDirection = DH.lane_change_direction