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Controls - Conditional Experimental Mode - Navigation Based
Switch to 'Experimental Mode' based on navigation data. (i.e. Intersections, stop signs, upcoming turns, etc.). Co-Authored-By: mike8643 <98910897+mike8643@users.noreply.github.com>
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@@ -29,6 +29,11 @@ class ConditionalExperimentalMode:
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self.status_value = 7 if tracking_lead else 8
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return True
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approaching_maneuver = modelData.navEnabled and (frogpilotNavigation.approachingIntersection or frogpilotNavigation.approachingTurn)
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if frogpilot_toggles.conditional_navigation and approaching_maneuver and (frogpilot_toggles.conditional_navigation_lead or not tracking_lead):
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self.status_value = 10 if frogpilotNavigation.approachingIntersection else 11
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return True
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if frogpilot_toggles.conditional_curves and self.curve_detected and (frogpilot_toggles.conditional_curves_lead or not tracking_lead):
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self.status_value = 12
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return True
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+40
-1
@@ -9,6 +9,7 @@ import requests
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import cereal.messaging as messaging
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from cereal import log
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from openpilot.common.api import Api
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from openpilot.common.numpy_fast import interp
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from openpilot.common.params import Params
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from openpilot.common.realtime import Ratekeeper
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from openpilot.selfdrive.navd.helpers import (Coordinate, coordinate_from_param,
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@@ -66,6 +67,11 @@ class RouteEngine:
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# FrogPilot variables
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self.frogpilot_toggles = FrogPilotVariables.toggles
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self.stop_coord = []
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self.stop_signal = []
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self.approaching_intersection = False
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self.approaching_turn = False
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self.update_toggles = False
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def update(self):
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@@ -217,6 +223,17 @@ class RouteEngine:
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self.route = r['routes'][0]['legs'][0]['steps']
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self.route_geometry = []
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# Iterate through the steps in self.route to find "stop_sign" and "traffic_light"
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if self.frogpilot_toggles.conditional_navigation_intersections:
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self.stop_signal = []
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self.stop_coord = []
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for step in self.route:
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for intersection in step["intersections"]:
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if "stop_sign" in intersection or "traffic_signal" in intersection:
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self.stop_signal.append(intersection["geometry_index"])
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self.stop_coord.append(Coordinate.from_mapbox_tuple(intersection["location"]))
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maxspeed_idx = 0
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maxspeeds = r['routes'][0]['legs'][0]['annotation']['maxspeed']
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@@ -364,9 +381,31 @@ class RouteEngine:
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self.params.remove("NavDestination")
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self.clear_route()
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if self.frogpilot_toggles.conditional_navigation:
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v_ego = self.sm['carState'].vEgo
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seconds_to_stop = interp(v_ego, [0, 22.5, 45], [5, 10, 10])
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closest_condition_indices = [idx for idx in self.stop_signal if idx >= closest_idx]
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if closest_condition_indices:
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closest_condition_index = min(closest_condition_indices, key=lambda idx: abs(closest_idx - idx))
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index = self.stop_signal.index(closest_condition_index)
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distance_to_condition = self.last_position.distance_to(self.stop_coord[index])
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self.approaching_intersection = self.frogpilot_toggles.conditional_navigation_intersections and distance_to_condition < max((seconds_to_stop * v_ego), 25)
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else:
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self.approaching_intersection = False
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self.approaching_turn = self.frogpilot_toggles.conditional_navigation_turns and distance_to_maneuver_along_geometry < max((seconds_to_stop * v_ego), 25)
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else:
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self.approaching_intersection = False
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self.approaching_turn = False
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frogpilot_plan_send = messaging.new_message('frogpilotNavigation')
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frogpilotNavigation = frogpilot_plan_send.frogpilotNavigation
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frogpilotNavigation.approachingIntersection = self.approaching_intersection
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frogpilotNavigation.approachingTurn = self.approaching_turn
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self.pm.send('frogpilotNavigation', frogpilot_plan_send)
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def send_route(self):
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@@ -420,7 +459,7 @@ class RouteEngine:
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def main():
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pm = messaging.PubMaster(['navInstruction', 'navRoute', 'frogpilotNavigation'])
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sm = messaging.SubMaster(['liveLocationKalman', 'managerState'])
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sm = messaging.SubMaster(['carState', 'liveLocationKalman', 'managerState'])
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rk = Ratekeeper(1.0)
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route_engine = RouteEngine(sm, pm)
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