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 python
# Add phonelibs openblas to LD_LIBRARY_PATH if import fails
try:
from scipy import spatial
except ImportError as e:
import os
import sys
from common.basedir import BASEDIR
openblas_path = os.path.join(BASEDIR, "phonelibs/openblas/")
os.environ['LD_LIBRARY_PATH'] += ':' + openblas_path
args = [sys.executable]
args.extend(sys.argv)
os.execv(sys.executable, args)
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import os
import sys
import time
import zmq
import threading
import numpy as np
import overpy
from collections import defaultdict
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from common.params import Params
from common.transformations.coordinates import geodetic2ecef
from selfdrive.services import service_list
import selfdrive.messaging as messaging
from mapd_helpers import MAPS_LOOKAHEAD_DISTANCE, Way, circle_through_points
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import selfdrive.crash as crash
from selfdrive.version import version, dirty
OVERPASS_API_URL = "https://overpass.kumi.systems/api/interpreter"
OVERPASS_HEADERS = {
'User-Agent': 'NEOS (comma.ai)'
}
last_gps = None
query_lock = threading.Lock()
last_query_result = None
last_query_pos = None
cache_valid = False
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def setup_thread_excepthook():
"""
Workaround for `sys.excepthook` thread bug from:
http://bugs.python.org/issue1230540
Call once from the main thread before creating any threads.
Source: https://stackoverflow.com/a/31622038
"""
init_original = threading.Thread.__init__
def init(self, *args, **kwargs):
init_original(self, *args, **kwargs)
run_original = self.run
def run_with_except_hook(*args2, **kwargs2):
try:
run_original(*args2, **kwargs2)
except Exception:
sys.excepthook(*sys.exc_info())
self.run = run_with_except_hook
threading.Thread.__init__ = init
def build_way_query(lat, lon, radius=50):
"""Builds a query to find all highways within a given radius around a point"""
pos = " (around:%f,%f,%f)" % (radius, lat, lon)
q = """(
way
""" + pos + """
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[highway][highway!~"^(footway|path|bridleway|steps|cycleway|construction|bus_guideway|escape)$"];
>;);out;
"""
return q
def query_thread():
global last_query_result, last_query_pos, cache_valid
api = overpy.Overpass(url=OVERPASS_API_URL, headers=OVERPASS_HEADERS, timeout=10.)
while True:
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time.sleep(1)
if last_gps is not None:
fix_ok = last_gps.flags & 1
if not fix_ok:
continue
if last_query_pos is not None:
cur_ecef = geodetic2ecef((last_gps.latitude, last_gps.longitude, last_gps.altitude))
prev_ecef = geodetic2ecef((last_query_pos.latitude, last_query_pos.longitude, last_query_pos.altitude))
dist = np.linalg.norm(cur_ecef - prev_ecef)
if dist < 1000:
continue
if dist > 3000:
cache_valid = False
q = build_way_query(last_gps.latitude, last_gps.longitude, radius=3000)
try:
new_result = api.query(q)
# Build kd-tree
nodes = []
real_nodes = []
node_to_way = defaultdict(list)
for n in new_result.nodes:
nodes.append((float(n.lat), float(n.lon), 0))
real_nodes.append(n)
for way in new_result.ways:
for n in way.nodes:
node_to_way[n.id].append(way)
nodes = np.asarray(nodes)
nodes = geodetic2ecef(nodes)
tree = spatial.cKDTree(nodes)
query_lock.acquire()
last_query_result = new_result, tree, real_nodes, node_to_way
last_query_pos = last_gps
cache_valid = True
query_lock.release()
except Exception as e:
print e
query_lock.acquire()
last_query_result = None
query_lock.release()
def mapsd_thread():
global last_gps
context = zmq.Context()
gps_sock = messaging.sub_sock(context, service_list['gpsLocation'].port, conflate=True)
gps_external_sock = messaging.sub_sock(context, service_list['gpsLocationExternal'].port, conflate=True)
map_data_sock = messaging.pub_sock(context, service_list['liveMapData'].port)
cur_way = None
curvature_valid = False
curvature = None
upcoming_curvature = 0.
dist_to_turn = 0.
road_points = None
while True:
gps = messaging.recv_one(gps_sock)
gps_ext = messaging.recv_one_or_none(gps_external_sock)
if gps_ext is not None:
gps = gps_ext.gpsLocationExternal
else:
gps = gps.gpsLocation
last_gps = gps
fix_ok = gps.flags & 1
if not fix_ok or last_query_result is None or not cache_valid:
cur_way = None
curvature = None
curvature_valid = False
upcoming_curvature = 0.
dist_to_turn = 0.
road_points = None
map_valid = False
else:
map_valid = True
lat = gps.latitude
lon = gps.longitude
heading = gps.bearing
speed = gps.speed
query_lock.acquire()
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cur_way = Way.closest(last_query_result, lat, lon, heading, cur_way)
if cur_way is not None:
pnts, curvature_valid = cur_way.get_lookahead(last_query_result, lat, lon, heading, MAPS_LOOKAHEAD_DISTANCE)
xs = pnts[:, 0]
ys = pnts[:, 1]
road_points = map(float, xs), map(float, ys)
if speed < 10:
curvature_valid = False
if curvature_valid and pnts.shape[0] <= 3:
curvature_valid = False
# The curvature is valid when at least MAPS_LOOKAHEAD_DISTANCE of road is found
if curvature_valid:
# Compute the curvature for each point
with np.errstate(divide='ignore'):
circles = [circle_through_points(*p) for p in zip(pnts, pnts[1:], pnts[2:])]
circles = np.asarray(circles)
radii = np.nan_to_num(circles[:, 2])
radii[radii < 10] = np.inf
curvature = 1. / radii
# Index of closest point
closest = np.argmin(np.linalg.norm(pnts, axis=1))
dist_to_closest = pnts[closest, 0] # We can use x distance here since it should be close
# Compute distance along path
dists = list()
dists.append(0)
for p, p_prev in zip(pnts, pnts[1:, :]):
dists.append(dists[-1] + np.linalg.norm(p - p_prev))
dists = np.asarray(dists)
dists = dists - dists[closest] + dist_to_closest
dists = dists[1:-1]
close_idx = np.logical_and(dists > 0, dists < 500)
dists = dists[close_idx]
curvature = curvature[close_idx]
if len(curvature):
# TODO: Determine left or right turn
curvature = np.nan_to_num(curvature)
# Outlier rejection
new_curvature = np.percentile(curvature, 90, interpolation='lower')
k = 0.6
upcoming_curvature = k * upcoming_curvature + (1 - k) * new_curvature
in_turn_indices = curvature > 0.8 * new_curvature
if np.any(in_turn_indices):
dist_to_turn = np.min(dists[in_turn_indices])
else:
dist_to_turn = 999
else:
upcoming_curvature = 0.
dist_to_turn = 999
query_lock.release()
dat = messaging.new_message()
dat.init('liveMapData')
if last_gps is not None:
dat.liveMapData.lastGps = last_gps
if cur_way is not None:
dat.liveMapData.wayId = cur_way.id
# Seed limit
max_speed = cur_way.max_speed
if max_speed is not None:
dat.liveMapData.speedLimitValid = True
dat.liveMapData.speedLimit = max_speed
# Curvature
dat.liveMapData.curvatureValid = curvature_valid
dat.liveMapData.curvature = float(upcoming_curvature)
dat.liveMapData.distToTurn = float(dist_to_turn)
if road_points is not None:
dat.liveMapData.roadX, dat.liveMapData.roadY = road_points
if curvature is not None:
dat.liveMapData.roadCurvatureX = map(float, dists)
dat.liveMapData.roadCurvature = map(float, curvature)
dat.liveMapData.mapValid = map_valid
map_data_sock.send(dat.to_bytes())
def main(gctx=None):
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params = Params()
dongle_id = params.get("DongleId")
crash.bind_user(id=dongle_id)
crash.bind_extra(version=version, dirty=dirty, is_eon=True)
crash.install()
setup_thread_excepthook()
main_thread = threading.Thread(target=mapsd_thread)
main_thread.daemon = True
main_thread.start()
q_thread = threading.Thread(target=query_thread)
q_thread.daemon = True
q_thread.start()
while True:
time.sleep(0.1)
if __name__ == "__main__":
main()