Merge branch 'hkg-can-jerk' into lt

# Conflicts:
#	selfdrive/controls/lib/longitudinal_mpc_lib/long_mpc.py
#	selfdrive/controls/lib/longitudinal_planner.py
This commit is contained in:
Jason Wen
2024-08-06 23:45:29 -04:00
8 changed files with 43 additions and 12 deletions
+2
View File
@@ -16,6 +16,7 @@ enum LongitudinalPersonalitySP {
moderate @1;
standard @2;
relaxed @3;
overtake @4;
}
enum AccelerationPersonality {
@@ -44,6 +45,7 @@ struct ControlsStateSP @0x81c2f05a394cf4af {
personality @8 :LongitudinalPersonalitySP;
dynamicPersonality @9 :Bool;
accelPersonality @10 :AccelerationPersonality;
overtakingAccelerationAssist @11 :Bool;
lateralControlState :union {
indiState @1 :LateralINDIState;
+1
View File
@@ -294,6 +294,7 @@ std::unordered_map<std::string, uint32_t> keys = {
{"OsmLocationUrl", PERSISTENT},
{"OsmWayTest", PERSISTENT},
{"OsmDownloadedDate", PERSISTENT},
{"OvertakingAccelerationAssist", PERSISTENT},
{"PathOffset", PERSISTENT | BACKUP},
{"PauseLateralSpeed", PERSISTENT | BACKUP},
{"PCMVCruiseOverride", PERSISTENT | BACKUP},
+3 -3
View File
@@ -102,15 +102,15 @@ class CarInterface(CarInterfaceBase):
ret.pcmCruise = not ret.openpilotLongitudinalControl
ret.stoppingControl = True
ret.startingState = True
ret.vEgoStarting = 0.5
ret.startAccel = 1.0
ret.stopAccel = -1.0
ret.longitudinalActuatorDelay = 0.5
if ret.flags & (HyundaiFlags.HYBRID | HyundaiFlags.EV):
ret.startAccel = 1.0
ret.startingState = False
else:
ret.startAccel = 1.5
ret.startingState = True
if DBC[ret.carFingerprint]["radar"] is None:
if ret.spFlags & (HyundaiFlagsSP.SP_ENHANCED_SCC | HyundaiFlagsSP.SP_CAMERA_SCC_LEAD):
+15 -2
View File
@@ -188,6 +188,7 @@ class Controls:
self.custom_model_metadata.capabilities & ModelCapabilities.LateralPlannerSolution
self.dynamic_personality = self.params.get_bool("DynamicPersonality")
self.overtaking_accel = self.params.get_bool("OvertakingAccelerationAssist")
self.accel_personality = self.read_accel_personality_param()
@@ -816,11 +817,21 @@ class Controls:
# Curvature & Steering angle
lp = self.sm['liveParameters']
lp_mono_time_svs = 'lateralPlanDEPRECATED' if self.model_use_lateral_planner else 'modelV2'
dh = 'lateralPlanDEPRECATED' if self.model_use_lateral_planner else 'modelV2'
steer_angle_without_offset = math.radians(CS.steeringAngleDeg - lp.angleOffsetDeg)
curvature = -self.VM.calc_curvature(steer_angle_without_offset, CS.vEgo, lp.roll)
lc_svs = self.sm[dh]
long_plan = self.sm['longitudinalPlan'].hasLead
dm_state = self.sm['driverMonitoringState']
overtaking_accel_allowed = ((lc_svs.laneChangeDirection == LaneChangeDirection.right and dm_state.isRHD) or
(lc_svs.laneChangeDirection == LaneChangeDirection.left and not dm_state.isRHD)) and \
(lc_svs.laneChangeState in (LaneChangeState.preLaneChange, LaneChangeState.laneChangeStarting))
overtaking_accel_engaged = self.overtaking_accel and overtaking_accel_allowed and \
CS.vEgo > (60 * CV.KPH_TO_MS) if self.is_metric else (40 * CV.MPH_TO_MS) and long_plan.hasLead and \
long_plan.aTarget > -0.2 and not (CS.leftBlinker and CS.rightBlinker)
# controlsState
dat = messaging.new_message('controlsState')
dat.valid = CS.canValid
@@ -835,7 +846,7 @@ class Controls:
controlsState.alertSound = current_alert.audible_alert
controlsState.longitudinalPlanMonoTime = self.sm.logMonoTime['longitudinalPlan']
controlsState.lateralPlanMonoTime = self.sm.logMonoTime[lp_mono_time_svs]
controlsState.lateralPlanMonoTime = self.sm.logMonoTime[dh]
controlsState.enabled = not (CS.brakePressed and (not self.CS_prev.brakePressed or not CS.standstill)) and (self.enabled or CS.cruiseState.enabled) and CS.gearShifter not in [GearShifter.park, GearShifter.reverse]
controlsState.active = not (CS.brakePressed and (not self.CS_prev.brakePressed or not CS.standstill)) and (self.active or CS.cruiseState.enabled)
controlsState.curvature = curvature
@@ -873,6 +884,7 @@ class Controls:
controlsStateSP.personality = self.personality
controlsStateSP.dynamicPersonality = self.dynamic_personality
controlsStateSP.accelPersonality = self.accel_personality
controlsStateSP.overtakingAccelerationAssist = overtaking_accel_engaged
if self.enable_nnff and lat_tuning == 'torque':
controlsStateSP.lateralControlState.torqueState = self.LaC.pid_long_sp
@@ -940,6 +952,7 @@ class Controls:
self.reverse_acc_change = self.params.get_bool("ReverseAccChange")
self.dynamic_experimental_control = self.params.get_bool("DynamicExperimentalControl")
self.overtaking_accel = self.params.get_bool("OvertakingAccelerationAssist")
if self.sm.frame % int(2.5 / DT_CTRL) == 0:
self.live_torque = self.params.get_bool("LiveTorque")
@@ -66,6 +66,8 @@ def get_jerk_factor(personality=custom.LongitudinalPersonalitySP.standard):
return 0.8
elif personality==custom.LongitudinalPersonalitySP.aggressive:
return 0.65
elif personality==custom.LongitudinalPersonalitySP.overtake:
return 0.1
else:
raise NotImplementedError("Longitudinal personality not supported")
@@ -79,6 +81,8 @@ def get_T_FOLLOW(personality=custom.LongitudinalPersonalitySP.standard):
return 1.25
elif personality==custom.LongitudinalPersonalitySP.aggressive:
return 1.0
elif personality==custom.LongitudinalPersonalitySP.overtake:
return 0.5
else:
raise NotImplementedError("Longitudinal personality not supported")
@@ -357,9 +361,11 @@ class LongitudinalMpc:
self.cruise_min_a = min_a
self.max_a = max_a
def update(self, radarstate, v_cruise, x, v, a, j, personality=custom.LongitudinalPersonalitySP.standard, dynamic_personality=False):
def update(self, radarstate, v_cruise, x, v, a, j, personality=custom.LongitudinalPersonalitySP.standard,
dynamic_personality=False, overtaking_acceleration_assist=False):
v_ego = self.x0[1]
t_follow = get_dynamic_personality(v_ego, personality) if dynamic_personality else get_T_FOLLOW(personality)
t_follow = get_T_FOLLOW(custom.LongitudinalPersonalitySP.overtake) if overtaking_acceleration_assist else t_follow
self.status = radarstate.leadOne.status or radarstate.leadTwo.status
lead_xv_0 = self.process_lead(radarstate.leadOne)
@@ -3,7 +3,7 @@ import math
import numpy as np
from openpilot.common.numpy_fast import clip, interp
from openpilot.common.params import Params
from cereal import car, custom
from cereal import car, log, custom
import cereal.messaging as messaging
from openpilot.common.conversions import Conversions as CV
@@ -83,7 +83,7 @@ class LongitudinalPlanner:
self.dt = dt
self.a_desired = init_a
v_ego_sec = 0.5 if CP.carName == "hyundai" else 2.0
v_ego_sec = 0.6 if CP.carName == "hyundai" else 2.0
self.v_desired_filter = FirstOrderFilter(init_v, v_ego_sec, self.dt)
self.v_model_error = 0.0
@@ -194,11 +194,13 @@ class LongitudinalPlanner:
accel_limits_turns[0] = min(accel_limits_turns[0], self.a_desired + 0.05)
accel_limits_turns[1] = max(accel_limits_turns[1], self.a_desired - 0.05)
self.mpc.set_weights(prev_accel_constraint, personality=sm['controlsStateSP'].personality)
overtaking_accel_engaged = sm['controlsStateSP'].overtakingAccelerationAssist
self.mpc.set_weights(prev_accel_constraint, personality=custom.LongitudinalPersonalitySP.overtake if overtaking_accel_engaged else sm['controlsStateSP'].personality)
self.mpc.set_accel_limits(accel_limits_turns[0], accel_limits_turns[1])
self.mpc.set_cur_state(self.v_desired_filter.x, self.a_desired)
x, v, a, j = self.parse_model(sm['modelV2'], self.v_model_error)
self.mpc.update(sm['radarState'], v_cruise, x, v, a, j, personality=sm['controlsStateSP'].personality, dynamic_personality=sm['controlsStateSP'].dynamicPersonality)
self.mpc.update(sm['radarState'], v_cruise, x, v, a, j, personality=sm['controlsStateSP'].personality,
dynamic_personality=sm['controlsStateSP'].dynamicPersonality, overtaking_acceleration_assist=overtaking_accel_engaged)
self.v_desired_trajectory = np.interp(CONTROL_N_T_IDX, T_IDXS_MPC, self.mpc.v_solution)
self.a_desired_trajectory = np.interp(CONTROL_N_T_IDX, T_IDXS_MPC, self.mpc.a_solution)
+1 -1
View File
@@ -32,7 +32,7 @@ def plannerd_thread():
pm = messaging.PubMaster(['longitudinalPlan', 'longitudinalPlanSP'] + lateral_planner_svs)
sm = messaging.SubMaster(['carControl', 'carState', 'controlsState', 'radarState', 'modelV2',
'longitudinalPlan', 'navInstruction', 'longitudinalPlanSP',
'liveMapDataSP', 'e2eLongStateSP', 'controlsStateSP'] + lateral_planner_svs,
'liveMapDataSP', 'e2eLongStateSP', 'controlsStateSP', 'driverMonitoringState'] + lateral_planner_svs,
poll='modelV2', ignore_avg_freq=['radarState'])
while True:
@@ -49,6 +49,12 @@ SunnypilotPanel::SunnypilotPanel(QWidget *parent) : QFrame(parent) {
tr("While in Auto Lane, switch to Laneless for current/future curves."),
"../assets/offroad/icon_blank.png",
},
{
"OvertakingAccelerationAssist",
tr("Overtaking Acceleration Assist"),
tr("Overtaking Acceleration Assist will operate when the turn signal indicator is turned on to the left (left-hand drive) or turned on to the right (right-hand drive) while Smart Cruise Control is operating."),
"../assets/offroad/icon_blank.png",
},
{
"EnableSlc",
tr("Speed Limit Control (SLC)"),
@@ -310,7 +316,7 @@ SunnypilotPanel::SunnypilotPanel(QWidget *parent) : QFrame(parent) {
list->addItem(dlp_settings);
}
if (param == "VisionCurveLaneless") {
if (param == "OvertakingAccelerationAssist") {
list->addItem(laneChangeSettingsLayout);
list->addItem(horizontal_line());
@@ -389,6 +395,7 @@ SunnypilotPanel::SunnypilotPanel(QWidget *parent) : QFrame(parent) {
toggles["EnableMads"]->setConfirmation(true, false);
toggles["EndToEndLongAlertLight"]->setConfirmation(true, false);
toggles["CustomOffsets"]->showDescription();
toggles["OvertakingAccelerationAssist"]->setConfirmation(true, false);
connect(toggles["EnableMads"], &ToggleControlSP::toggleFlipped, mads_settings, &MadsSettings::updateToggles);
connect(toggles["EnableMads"], &ToggleControlSP::toggleFlipped, [=](bool state) {