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10 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| 563fa3c782 | |||
| 0b3459fbdc | |||
| 54a22bd8bd | |||
| 6c674810ee | |||
| e64f67ec7e | |||
| 9c7655c45e | |||
| 60c6464a14 | |||
| bf93807e7b | |||
| f54f2d462e | |||
| 80494ec3cf |
@@ -465,6 +465,7 @@ struct ModelDataV2SP @0xa1680744031fdb2d {
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laneTurnDirection @0 :TurnDirection;
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leftLaneChangeEdgeBlock @1 :Bool;
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rightLaneChangeEdgeBlock @2 :Bool;
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lanefulCurvature @3 :Float32;
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enum TurnDirection {
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none @0;
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@@ -256,6 +256,7 @@ inline static std::unordered_map<std::string, ParamKeyAttributes> keys = {
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{"LagdValueCache", {PERSISTENT, FLOAT, "0.2"}},
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{"LaneTurnDesire", {PERSISTENT | BACKUP, BOOL, "0"}},
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{"LaneTurnValue", {PERSISTENT | BACKUP, FLOAT, "19.0"}},
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{"Laneful", {PERSISTENT | BACKUP, BOOL, "0"}},
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{"PlanplusControl", {PERSISTENT | BACKUP, FLOAT, "1.0"}},
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// mapd
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@@ -206,6 +206,8 @@ class AugmentedRoadView(CameraView):
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def _handle_mouse_release(self, mouse_pos: MousePos):
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# Don't trigger click callback if bookmark was triggered
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if not self._bookmark_icon.interacting():
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if self._model_renderer.laneful.handle_tap(mouse_pos):
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return
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super()._handle_mouse_release(mouse_pos)
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def _render(self, _):
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@@ -141,6 +141,7 @@ class ModelRenderer(Widget, ModelRendererSP):
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if ui_state.status != UIStatus.DISENGAGED:
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self._draw_lane_lines()
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self._draw_path()
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self.laneful.draw(self._rect)
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if render_lead_indicator:
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self._update_leads(sm)
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@@ -219,6 +220,7 @@ class ModelRenderer(Widget, ModelRendererSP):
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# Update road edges using raw points
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for road_edge in self._road_edges:
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road_edge.projected_points = self._map_line_to_polygon(road_edge.raw_points, line_width_factor, 0.0, max_idx)
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self.laneful.update(self, max_idx)
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# Update path using raw points
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if lead and lead.present:
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@@ -0,0 +1,21 @@
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"""
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Copyright (c) 2021-, sunnypilot, and a number of other contributors.
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This file is part of sunnypilot and is licensed under the MIT License.
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See the LICENSE.md file in the root directory for more details.
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"""
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from openpilot.selfdrive.ui.mici.widgets.button import BigParamControl
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from openpilot.system.ui.widgets.scroller import NavScroller
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class LanefulLayoutMici(NavScroller):
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def __init__(self):
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super().__init__()
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self._toggle = BigParamControl("laneful", "Laneful",
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description="Keeps the car centered in its lane.\n" +
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"Leans on the lane lines when they are clear, drives laneless when they are not.")
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self._scroller.add_widget(self._toggle)
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def show_event(self):
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super().show_event()
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self._toggle.refresh()
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@@ -11,6 +11,7 @@ from openpilot.selfdrive.ui.mici.widgets.button import BigCircleButton
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from openpilot.selfdrive.ui.mici.widgets.dialog import BigConfirmationDialog, BigDialog
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from openpilot.selfdrive.ui.sunnypilot.mici.layouts.sunnylink import SunnylinkLayoutMici
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from openpilot.selfdrive.ui.sunnypilot.mici.layouts.models import ModelsLayoutMici
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from openpilot.selfdrive.ui.sunnypilot.mici.layouts.laneful import LanefulLayoutMici
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from openpilot.selfdrive.ui.ui_state import ui_state
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from openpilot.system.ui.lib.application import gui_app, FontWeight
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from openpilot.system.ui.lib.multilang import tr
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@@ -50,6 +51,10 @@ class SettingsLayoutSP(OP.SettingsLayout):
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models_btn = SettingsBigButton(tr("models"), "", gui_app.texture("../../sunnypilot/selfdrive/assets/offroad/icon_models.png", ICON_SIZE, ICON_SIZE))
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models_btn.set_click_callback(lambda: gui_app.push_widget(models_panel))
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laneful_panel = LanefulLayoutMici()
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laneful_btn = SettingsBigButton(tr("laneful"), "", gui_app.texture("icons_mici/settings/device/lkas.png", ICON_SIZE, ICON_SIZE))
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laneful_btn.set_click_callback(lambda: gui_app.push_widget(laneful_panel))
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# onroad: enable button sits at the front (left of toggles)
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self._enable_offroad_btn_onroad = BigCircleButton(self.icon_offroad_enable, red=True)
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self._enable_offroad_btn_onroad.set_click_callback(lambda: self._handle_always_offroad(True))
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@@ -67,7 +72,8 @@ class SettingsLayoutSP(OP.SettingsLayout):
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items = self._scroller._items.copy()
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items.insert(1, models_btn)
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items.insert(5, sunnylink_btn)
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items.insert(2, laneful_btn)
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items.insert(6, sunnylink_btn)
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# front slots (only one ever visible at a time): exit-always-offroad, then enable-onroad
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items.insert(0, self._enable_offroad_btn_onroad)
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@@ -0,0 +1,117 @@
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"""
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Copyright (c) 2021-, sunnypilot, and a number of other contributors.
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This file is part of sunnypilot and is licensed under the MIT License.
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See the LICENSE.md file in the root directory for more details.
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Laneful visuals: cyan lane-center target, thin white "after" path (model path bent by laneful's nudge),
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and a top-center readout of the pull, from the curvature modeld publishes in modelDataV2SP.lanefulCurvature.
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"""
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import numpy as np
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import pyray as rl
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from openpilot.common.filter_simple import FirstOrderFilter
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from openpilot.common.realtime import DT_MDL
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from openpilot.selfdrive.ui.ui_state import ui_state
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from openpilot.sunnypilot.modeld_v2.laneful import LOOKAHEAD_TIME, MIN_LOOKAHEAD, MAX_ERROR
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from openpilot.system.ui.lib.application import gui_app, FontWeight
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from openpilot.system.ui.lib.shader_polygon import draw_polygon
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from openpilot.system.ui.lib.text_measure import measure_text_cached
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CENTER_COLOR = (0, 200, 255)
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AFTER_COLOR = (255, 255, 255)
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class LanefulRenderer:
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def __init__(self):
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self._center_points = np.empty((0, 2), dtype=np.float32)
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self._after_points = np.empty((0, 2), dtype=np.float32)
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self._trust = 0.0
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self._font = gui_app.font(FontWeight.BOLD)
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# smoothed copies for the readout so the numbers don't flicker
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self._pull_display = FirstOrderFilter(0.0, 0.5, DT_MDL)
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self._trust_display = FirstOrderFilter(0.0, 0.5, DT_MDL)
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self._alpha = FirstOrderFilter(0.0, 0.3, DT_MDL) # fades that hoe
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self._readout_rect: rl.Rectangle | None = None
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self._settings_page = None
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def update(self, renderer, max_idx: int) -> None:
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"""Called from the model renderer's update with its lane lines and path already in raw points."""
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laneful_curvature = ui_state.sm['modelDataV2SP'].lanefulCurvature
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self._alpha.update(float(laneful_curvature != 0.0))
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left, right = renderer._lane_lines[1].raw_points, renderer._lane_lines[2].raw_points
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stds = list(ui_state.sm['modelV2'].laneLineStds)
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if self._alpha.x < 0.01 or len(left) == 0 or len(right) != len(left) or len(stds) < 3:
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self._center_points = np.empty((0, 2), dtype=np.float32)
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self._after_points = np.empty((0, 2), dtype=np.float32)
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return
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probs = renderer._lane_line_probs
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l_prob = float(probs[1] * np.interp(stds[1], [0.15, 0.3], [1.0, 0.0]))
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r_prob = float(probs[2] * np.interp(stds[2], [0.15, 0.3], [1.0, 0.0]))
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width = np.clip(right[:, 1] - left[:, 1], 2.8, 4.5) if l_prob * r_prob > 0.5 else 3.7
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center = left.copy()
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center[:, 1] = (l_prob * (left[:, 1] + width / 2) + r_prob * (right[:, 1] - width / 2)) / (l_prob + r_prob + 1e-4)
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self._trust = l_prob + r_prob - l_prob * r_prob
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self._center_points = renderer._map_line_to_polygon(center, 0.1, 0.0, max_idx)
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# "after" path: model path bent by laneful's curvature, ending at the lookahead
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path = renderer._path.raw_points
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lookahead = max(ui_state.sm['carState'].vEgo * LOOKAHEAD_TIME, MIN_LOOKAHEAD)
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self._pull_display.update(laneful_curvature * lookahead ** 2 / 2) # how far laneful moves the car at the lookahead
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self._trust_display.update(self._trust)
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after = path.copy()
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after[:, 1] += laneful_curvature * path[:, 0] ** 2 / 2
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self._after_points = renderer._map_line_to_polygon(after, 0.15, renderer._path_offset_z,
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renderer._get_path_length_idx(path[:, 0], lookahead))
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def _color(self, rgb, alpha: float) -> rl.Color:
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return rl.Color(*rgb, int(alpha * self._alpha.x))
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def draw(self, rect: rl.Rectangle) -> None:
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if self._center_points.size and self._trust > 0.05:
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draw_polygon(rect, self._center_points, self._color(CENTER_COLOR, np.clip(self._trust, 0.2, 1.0) * 255))
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self._readout_rect = None
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if self._after_points.size:
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draw_polygon(rect, self._after_points, self._color(AFTER_COLOR, 200))
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self._draw_readout(rect)
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def handle_tap(self, pos) -> bool:
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"""Tapping the readout opens the laneful settings page. Returns True if the tap was consumed."""
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r = self._readout_rect
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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):
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return False
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if self._settings_page is None:
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from openpilot.selfdrive.ui.sunnypilot.mici.layouts.laneful import LanefulLayoutMici
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self._settings_page = LanefulLayoutMici()
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gui_app.push_widget(self._settings_page)
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return True
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def _draw_readout(self, rect: rl.Rectangle) -> None:
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"""Top-center pill: pull toward lane center in cm at the lookahead, arrow = side,
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bar grows from center toward the pull (full at the cap), brighter with more lane line trust."""
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pull, trust = self._pull_display.x, self._trust_display.x
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w, h = 190, 76
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x, y = rect.x + (rect.width - w) / 2, rect.y + 10
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cx, cy = x + w / 2, y + 30
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self._readout_rect = rl.Rectangle(x, y, w, h)
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rl.draw_rectangle_rounded(self._readout_rect, 0.5, 12, self._color((0, 0, 0), 170))
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text = f"{abs(pull) * 100:.0f}"
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text_w = measure_text_cached(self._font, text, 44, 0).x
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rl.draw_text_ex(self._font, text, rl.Vector2(cx - text_w / 2, cy - 24), 44, 0, self._color((255, 255, 255), 255))
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active = self._color(CENTER_COLOR, np.clip(abs(pull) / 0.1, 0.0, 1.0) * 255)
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idle = self._color((255, 255, 255), 40)
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lx, rx = x + 18, x + w - 18
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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)
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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)
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bar = rl.Rectangle(x + 24, y + h - 16, w - 48, 6)
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rl.draw_rectangle_rounded(bar, 1.0, 6, self._color((255, 255, 255), 40))
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rl.draw_rectangle(int(cx - 1), int(bar.y - 2), 2, int(bar.height + 4), self._color((255, 255, 255), 120))
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fill = bar.width / 2 * float(np.clip(abs(pull) / MAX_ERROR, 0.0, 1.0))
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if fill > 1:
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fill_x = cx if pull > 0 else cx - fill
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rl.draw_rectangle_rounded(rl.Rectangle(fill_x, bar.y, fill, bar.height), 1.0, 6,
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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.
|
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"""
|
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import pyray as rl
|
||||
from openpilot.selfdrive.ui.ui_state import UIStatus
|
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from openpilot.selfdrive.ui.sunnypilot.mici.onroad.laneful import LanefulRenderer
|
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from openpilot.selfdrive.ui.sunnypilot.onroad.rainbow_path import RainbowPath
|
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|
||||
LANE_LINE_COLORS_SP = {
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@@ -17,3 +18,4 @@ LANE_LINE_COLORS_SP = {
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class ModelRendererSP:
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def __init__(self):
|
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self.rainbow_path = RainbowPath()
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self.laneful = LanefulRenderer()
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@@ -36,7 +36,7 @@ class UIStateSP:
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self.is_sp_release: bool = self.params.get_bool("IsReleaseSpBranch")
|
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self.sm_services_ext = [
|
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"modelManagerSP", "selfdriveStateSP", "longitudinalPlanSP", "backupManagerSP",
|
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"lateralTorqueParameters", "carStateSP", "liveMapDataSP", "carParamsSP", "lateralDelay"
|
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"lateralTorqueParameters", "carStateSP", "liveMapDataSP", "carParamsSP", "lateralDelay", "modelDataV2SP"
|
||||
]
|
||||
|
||||
self.sunnylink_state = SunnylinkState()
|
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|
||||
@@ -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
|
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from openpilot.common.realtime import DT_MDL
|
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from openpilot.sunnypilot.modeld_v2.constants import ModelConstants
|
||||
|
||||
LANE_WIDTH_DEFAULT = 3.7 # m
|
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LANE_WIDTH_CLIP = (2.8, 4.5) # m
|
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LOOKAHEAD_TIME = 1.5 # s
|
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MIN_LOOKAHEAD = 10.0 # m
|
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MAX_ERROR = 1.0 # m, cap on how far laneful can pull
|
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MIN_SPEED = 9.0 # m/s
|
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SMOOTH_TAU = 0.3 # s
|
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YIELD = (0.5, 1.0) # m
|
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LINE_STD = (0.2, 0.6)
|
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POINT_STD = 0.1
|
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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
|
||||
@@ -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
|
||||
|
||||
|
||||
Reference in New Issue
Block a user