openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
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#!/usr/bin/env python3
import json
import math
import os
import threading
import requests
import numpy as np
import cereal.messaging as messaging
from cereal import log
from common.api import Api
from common.params import Params
from common.realtime import Ratekeeper
from common.transformations.coordinates import ecef2geodetic
from selfdrive.navd.helpers import (Coordinate, coordinate_from_param,
distance_along_geometry, maxspeed_to_ms,
minimum_distance,
parse_banner_instructions)
from system.swaglog import cloudlog
REROUTE_DISTANCE = 25
MANEUVER_TRANSITION_THRESHOLD = 10
VALID_POS_STD = 50.0
REROUTE_COUNTER_MIN = 3
class RouteEngine:
def __init__(self, sm, pm):
self.sm = sm
self.pm = pm
self.params = Params()
# Get last gps position from params
self.last_position = coordinate_from_param("LastGPSPosition", self.params)
self.last_bearing = None
self.gps_ok = False
self.localizer_valid = False
self.nav_destination = None
self.step_idx = None
self.route = None
self.route_geometry = None
self.recompute_backoff = 0
self.recompute_countdown = 0
self.ui_pid = None
self.reroute_counter = 0
if "MAPBOX_TOKEN" in os.environ:
self.mapbox_token = os.environ["MAPBOX_TOKEN"]
self.mapbox_host = "https://api.mapbox.com"
else:
try:
self.mapbox_token = Api(self.params.get("DongleId", encoding='utf8')).get_token(expiry_hours=4 * 7 * 24)
except FileNotFoundError:
cloudlog.exception("Failed to generate mapbox token due to missing private key. Ensure device is registered.")
self.mapbox_token = ""
self.mapbox_host = "https://maps.comma.ai"
def update(self):
self.sm.update(0)
if self.sm.updated["managerState"]:
ui_pid = [p.pid for p in self.sm["managerState"].processes if p.name == "ui" and p.running]
if ui_pid:
if self.ui_pid and self.ui_pid != ui_pid[0]:
cloudlog.warning("UI restarting, sending route")
threading.Timer(5.0, self.send_route).start()
self.ui_pid = ui_pid[0]
self.update_location()
self.recompute_route()
self.send_instruction()
def update_location(self):
location = self.sm['liveLocationKalman']
laikad = self.sm['gnssMeasurements']
locationd_valid = (location.status == log.LiveLocationKalman.Status.valid) and location.positionGeodetic.valid
laikad_valid = laikad.positionECEF.valid and np.linalg.norm(laikad.positionECEF.std) < VALID_POS_STD
self.localizer_valid = locationd_valid or laikad_valid
self.gps_ok = location.gpsOK or laikad_valid
if locationd_valid:
self.last_bearing = math.degrees(location.calibratedOrientationNED.value[2])
self.last_position = Coordinate(location.positionGeodetic.value[0], location.positionGeodetic.value[1])
elif laikad_valid:
geodetic = ecef2geodetic(laikad.positionECEF.value)
self.last_position = Coordinate(geodetic[0], geodetic[1])
self.last_bearing = None
def recompute_route(self):
if self.last_position is None:
return
new_destination = coordinate_from_param("NavDestination", self.params)
if new_destination is None:
self.clear_route()
return
should_recompute = self.should_recompute()
if new_destination != self.nav_destination:
cloudlog.warning(f"Got new destination from NavDestination param {new_destination}")
should_recompute = True
# Don't recompute when GPS drifts in tunnels
if not self.gps_ok and self.step_idx is not None:
return
if self.recompute_countdown == 0 and should_recompute:
self.recompute_countdown = 2**self.recompute_backoff
self.recompute_backoff = min(6, self.recompute_backoff + 1)
self.calculate_route(new_destination)
self.reroute_counter = 0
else:
self.recompute_countdown = max(0, self.recompute_countdown - 1)
def calculate_route(self, destination):
cloudlog.warning(f"Calculating route {self.last_position} -> {destination}")
self.nav_destination = destination
lang = self.params.get('LanguageSetting', encoding='utf8')
if lang is not None:
lang = lang.replace('main_', '')
params = {
'access_token': self.mapbox_token,
'annotations': 'maxspeed',
'geometries': 'geojson',
'overview': 'full',
'steps': 'true',
'banner_instructions': 'true',
'alternatives': 'false',
'language': lang,
}
# TODO: move waypoints into NavDestination param?
waypoints = self.params.get('NavDestinationWaypoints', encoding='utf8')
waypoint_coords = []
if waypoints is not None and len(waypoints) > 0:
waypoint_coords = json.loads(waypoints)
coords = [
(self.last_position.longitude, self.last_position.latitude),
*waypoint_coords,
(destination.longitude, destination.latitude)
]
params['waypoints'] = f'0;{len(coords)-1}'
if self.last_bearing is not None:
params['bearings'] = f"{(self.last_bearing + 360) % 360:.0f},90" + (';'*(len(coords)-1))
coords_str = ';'.join([f'{lon},{lat}' for lon, lat in coords])
url = self.mapbox_host + '/directions/v5/mapbox/driving-traffic/' + coords_str
try:
resp = requests.get(url, params=params, timeout=10)
if resp.status_code != 200:
cloudlog.event("API request failed", status_code=resp.status_code, text=resp.text, error=True)
resp.raise_for_status()
r = resp.json()
if len(r['routes']):
self.route = r['routes'][0]['legs'][0]['steps']
self.route_geometry = []
maxspeed_idx = 0
maxspeeds = r['routes'][0]['legs'][0]['annotation']['maxspeed']
# Convert coordinates
for step in self.route:
coords = []
for c in step['geometry']['coordinates']:
coord = Coordinate.from_mapbox_tuple(c)
# Last step does not have maxspeed
if (maxspeed_idx < len(maxspeeds)):
maxspeed = maxspeeds[maxspeed_idx]
if ('unknown' not in maxspeed) and ('none' not in maxspeed):
coord.annotations['maxspeed'] = maxspeed_to_ms(maxspeed)
coords.append(coord)
maxspeed_idx += 1
self.route_geometry.append(coords)
maxspeed_idx -= 1 # Every segment ends with the same coordinate as the start of the next
self.step_idx = 0
else:
cloudlog.warning("Got empty route response")
self.clear_route()
# clear waypoints to avoid a re-route including past waypoints
# TODO: only clear once we're past a waypoint
self.params.remove('NavDestinationWaypoints')
except requests.exceptions.RequestException:
cloudlog.exception("failed to get route")
self.clear_route()
self.send_route()
def send_instruction(self):
msg = messaging.new_message('navInstruction')
if self.step_idx is None:
msg.valid = False
self.pm.send('navInstruction', msg)
return
step = self.route[self.step_idx]
geometry = self.route_geometry[self.step_idx]
along_geometry = distance_along_geometry(geometry, self.last_position)
distance_to_maneuver_along_geometry = step['distance'] - along_geometry
# Current instruction
msg.navInstruction.maneuverDistance = distance_to_maneuver_along_geometry
parse_banner_instructions(msg.navInstruction, step['bannerInstructions'], distance_to_maneuver_along_geometry)
# Compute total remaining time and distance
remaining = 1.0 - along_geometry / max(step['distance'], 1)
total_distance = step['distance'] * remaining
total_time = step['duration'] * remaining
total_time_typical = step['duration_typical'] * remaining
# Add up totals for future steps
for i in range(self.step_idx + 1, len(self.route)):
total_distance += self.route[i]['distance']
total_time += self.route[i]['duration']
total_time_typical += self.route[i]['duration_typical']
msg.navInstruction.distanceRemaining = total_distance
msg.navInstruction.timeRemaining = total_time
msg.navInstruction.timeRemainingTypical = total_time_typical
# Speed limit
closest_idx, closest = min(enumerate(geometry), key=lambda p: p[1].distance_to(self.last_position))
if closest_idx > 0:
# If we are not past the closest point, show previous
if along_geometry < distance_along_geometry(geometry, geometry[closest_idx]):
closest = geometry[closest_idx - 1]
if ('maxspeed' in closest.annotations) and self.localizer_valid:
msg.navInstruction.speedLimit = closest.annotations['maxspeed']
# Speed limit sign type
if 'speedLimitSign' in step:
if step['speedLimitSign'] == 'mutcd':
msg.navInstruction.speedLimitSign = log.NavInstruction.SpeedLimitSign.mutcd
elif step['speedLimitSign'] == 'vienna':
msg.navInstruction.speedLimitSign = log.NavInstruction.SpeedLimitSign.vienna
self.pm.send('navInstruction', msg)
# Transition to next route segment
if distance_to_maneuver_along_geometry < -MANEUVER_TRANSITION_THRESHOLD:
if self.step_idx + 1 < len(self.route):
self.step_idx += 1
self.recompute_backoff = 0
self.recompute_countdown = 0
else:
cloudlog.warning("Destination reached")
Params().remove("NavDestination")
# Clear route if driving away from destination
dist = self.nav_destination.distance_to(self.last_position)
if dist > REROUTE_DISTANCE:
self.clear_route()
def send_route(self):
coords = []
if self.route is not None:
for path in self.route_geometry:
coords += [c.as_dict() for c in path]
msg = messaging.new_message('navRoute')
msg.navRoute.coordinates = coords
self.pm.send('navRoute', msg)
def clear_route(self):
self.route = None
self.route_geometry = None
self.step_idx = None
self.nav_destination = None
def should_recompute(self):
if self.step_idx is None or self.route is None:
return True
# Don't recompute in last segment, assume destination is reached
if self.step_idx == len(self.route) - 1:
return False
# Compute closest distance to all line segments in the current path
min_d = REROUTE_DISTANCE + 1
path = self.route_geometry[self.step_idx]
for i in range(len(path) - 1):
a = path[i]
b = path[i + 1]
if a.distance_to(b) < 1.0:
continue
min_d = min(min_d, minimum_distance(a, b, self.last_position))
if min_d > REROUTE_DISTANCE:
self.reroute_counter += 1
else:
self.reroute_counter = 0
return self.reroute_counter > REROUTE_COUNTER_MIN
# TODO: Check for going wrong way in segment
def main(sm=None, pm=None):
if sm is None:
sm = messaging.SubMaster(['liveLocationKalman', 'gnssMeasurements', 'managerState'])
if pm is None:
pm = messaging.PubMaster(['navInstruction', 'navRoute'])
rk = Ratekeeper(1.0)
route_engine = RouteEngine(sm, pm)
while True:
route_engine.update()
rk.keep_time()
if __name__ == "__main__":
main()