ods777/selfdrive/car/tesla/radar_interface.py

92 lines
2.6 KiB
Python
Executable File

#!/usr/bin/env python3
from cereal import car
from opendbc.can.parser import CANParser
from openpilot.selfdrive.car.tesla.values import CAR, DBC, CANBUS
from openpilot.selfdrive.car.interfaces import RadarInterfaceBase
class RadarInterface(RadarInterfaceBase):
def __init__(self, CP):
super().__init__(CP)
self.CP = CP
if CP.carFingerprint == CAR.TESLA_MODELS_RAVEN:
messages = [('RadarStatus', 16)]
self.num_points = 40
self.trigger_msg = 1119
else:
messages = [('TeslaRadarSguInfo', 10)]
self.num_points = 32
self.trigger_msg = 878
for i in range(self.num_points):
messages.extend([
(f'RadarPoint{i}_A', 16),
(f'RadarPoint{i}_B', 16),
])
self.rcp = CANParser(DBC[CP.carFingerprint]['radar'], messages, CANBUS.radar)
self.updated_messages = set()
self.track_id = 0
def update(self, can_strings):
if self.rcp is None:
return super().update(None)
values = self.rcp.update_strings(can_strings)
self.updated_messages.update(values)
if self.trigger_msg not in self.updated_messages:
return None
ret = car.RadarData.new_message()
# Errors
errors = []
if not self.rcp.can_valid:
errors.append('canError')
if self.CP.carFingerprint == CAR.TESLA_MODELS_RAVEN:
radar_status = self.rcp.vl['RadarStatus']
if radar_status['sensorBlocked'] or radar_status['shortTermUnavailable'] or radar_status['vehDynamicsError']:
errors.append('fault')
else:
radar_status = self.rcp.vl['TeslaRadarSguInfo']
if radar_status['RADC_HWFail'] or radar_status['RADC_SGUFail'] or radar_status['RADC_SensorDirty']:
errors.append('fault')
ret.errors = errors
# Radar tracks
for i in range(self.num_points):
msg_a = self.rcp.vl[f'RadarPoint{i}_A']
msg_b = self.rcp.vl[f'RadarPoint{i}_B']
# Make sure msg A and B are together
if msg_a['Index'] != msg_b['Index2']:
continue
# Check if it's a valid track
if not msg_a['Tracked']:
if i in self.pts:
del self.pts[i]
continue
# New track!
if i not in self.pts:
self.pts[i] = car.RadarData.RadarPoint.new_message()
self.pts[i].trackId = self.track_id
self.track_id += 1
# Parse track data
self.pts[i].dRel = msg_a['LongDist']
self.pts[i].yRel = msg_a['LatDist']
self.pts[i].vRel = msg_a['LongSpeed']
self.pts[i].aRel = msg_a['LongAccel']
self.pts[i].yvRel = msg_b['LatSpeed']
self.pts[i].measured = bool(msg_a['Meas'])
ret.points = list(self.pts.values())
self.updated_messages.clear()
return ret