Conditional Experimental Mode

Added toggles for "Conditional Experimental Mode".

Conditions based on road curvature, turn signals, speed, lead speed, navigation instructions, and stop signs/stop lights are all individually toggleable.
This commit is contained in:
FrogAi
2024-01-12 22:39:30 -07:00
parent c844593f66
commit ccf674762e
17 changed files with 378 additions and 12 deletions

View File

@@ -9,6 +9,7 @@ import requests
import cereal.messaging as messaging
from cereal import log
from openpilot.common.api import Api
from openpilot.common.numpy_fast import interp
from openpilot.common.params import Params
from openpilot.common.realtime import Ratekeeper
from openpilot.selfdrive.navd.helpers import (Coordinate, coordinate_from_param,
@@ -61,6 +62,11 @@ class RouteEngine:
self.mapbox_host = "https://maps.comma.ai"
# FrogPilot variables
self.stop_coord = []
self.stop_signal = []
self.nav_condition = False
self.noo_condition = False
self.update_frogpilot_params()
def update(self):
@@ -169,6 +175,16 @@ class RouteEngine:
self.route = r['routes'][0]['legs'][0]['steps']
self.route_geometry = []
# Iterate through the steps in self.route to find "stop_sign" and "traffic_light"
if self.conditional_navigation:
self.stop_signal = []
self.stop_coord = []
for step in self.route:
for intersection in step["intersections"]:
if "stop_sign" in intersection or "traffic_signal" in intersection:
self.stop_signal.append(intersection["geometry_index"])
self.stop_coord.append(Coordinate.from_mapbox_tuple(intersection["location"]))
maxspeed_idx = 0
maxspeeds = r['routes'][0]['legs'][0]['annotation']['maxspeed']
@@ -309,9 +325,36 @@ class RouteEngine:
self.params.remove("NavDestination")
self.clear_route()
# 5-10 Seconds to stop condition based on v_ego or minimum of 25 meters
if self.conditional_navigation:
v_ego = self.sm['carState'].vEgo
seconds_to_stop = interp(v_ego, [0, 22.3, 44.7], [5, 10, 10])
# Determine the location of the closest upcoming stopSign or trafficLight
closest_condition_indices = [idx for idx in self.stop_signal if idx >= closest_idx]
if closest_condition_indices:
closest_condition_index = min(closest_condition_indices, key=lambda idx: abs(closest_idx - idx))
index = self.stop_signal.index(closest_condition_index)
# Calculate the distance to the stopSign or trafficLight
distance_to_condition = self.last_position.distance_to(self.stop_coord[index])
if distance_to_condition < max((seconds_to_stop * v_ego), 25):
self.nav_condition = True
else:
self.nav_condition = False # Not approaching any stopSign or trafficLight
else:
self.nav_condition = False # No more stopSign or trafficLight in array
# Determine if NoO distance to maneuver is upcoming
if distance_to_maneuver_along_geometry < max((seconds_to_stop * v_ego), 25):
self.noo_condition = True
else:
self.noo_condition = False # Not approaching any NoO maneuver
frogpilot_plan_send = messaging.new_message('frogpilotNavigation')
frogpilotNavigation = frogpilot_plan_send.frogpilotNavigation
frogpilotNavigation.navigationConditionMet = self.conditional_navigation and (self.nav_condition or self.noo_condition)
self.pm.send('frogpilotNavigation', frogpilot_plan_send)
def send_route(self):
@@ -363,10 +406,11 @@ class RouteEngine:
# TODO: Check for going wrong way in segment
def update_frogpilot_params(self):
self.conditional_navigation = self.params.get_bool("CENavigation")
def main():
pm = messaging.PubMaster(['navInstruction', 'navRoute', 'frogpilotNavigation'])
sm = messaging.SubMaster(['liveLocationKalman', 'managerState'])
sm = messaging.SubMaster(['carState', 'liveLocationKalman', 'managerState'])
rk = Ratekeeper(1.0)
route_engine = RouteEngine(sm, pm)