From cf1a61f14261f5e227a0f4ac9bb2b8272744db94 Mon Sep 17 00:00:00 2001 From: firestar4430 Date: Sat, 30 Nov 2024 13:14:56 -0600 Subject: [PATCH] StarPilot --- panda/board/obj/bootstub.panda.bin | Bin 14876 -> 14876 bytes panda/board/obj/bootstub.panda_h7.bin | Bin 16944 -> 16944 bytes panda/board/obj/panda.bin.signed | Bin 60256 -> 60072 bytes panda/board/obj/panda_h7.bin.signed | Bin 68748 -> 68560 bytes selfdrive/assets/img_spinner_comma.png | Bin 111089 -> 427727 bytes selfdrive/car/gm/carcontroller.py | 15 ++++++------ selfdrive/car/gm/carstate.py | 2 +- selfdrive/car/gm/interface.py | 23 +++++++----------- selfdrive/car/interfaces.py | 2 +- selfdrive/car/torque_data/override.toml | 2 +- .../other_images/frogpilot_boot_logo.jpg | Bin 0 -> 379546 bytes .../other_images/frogpilot_boot_logo.png | Bin 796153 -> 515503 bytes .../frogpilot/fleetmanager/static/frog.png | Bin 108573 -> 411906 bytes .../fleetmanager/templates/layout.html | 2 +- system/fleetmanager/static/frog.png | Bin 131 -> 411906 bytes system/manager/process_config.py | 2 +- 16 files changed, 21 insertions(+), 27 deletions(-) mode change 100644 => 100755 panda/board/obj/bootstub.panda.bin mode change 100644 => 100755 panda/board/obj/bootstub.panda_h7.bin create mode 100644 selfdrive/frogpilot/assets/other_images/frogpilot_boot_logo.jpg diff --git a/panda/board/obj/bootstub.panda.bin b/panda/board/obj/bootstub.panda.bin old mode 100644 new mode 100755 index dfc0cfd155f5eea2033047d00613e3a45170db47..fd0e71fa2fd9bc16beb51356ecc9b265e9e54503 GIT binary patch delta 21 ccmbPJGN)w2En|+9M8o7nBa5`nkBqI@0A~UScmMzZ delta 21 ccmbPJGN)w2En^M?vt(0C1C!LvkBqI@0AU&j?f?J) diff --git a/panda/board/obj/bootstub.panda_h7.bin b/panda/board/obj/bootstub.panda_h7.bin old mode 100644 new mode 100755 index 7dda4632bf5119257257780a4eccdad800e239db..ba75af26795e61490ce33347d622707120045b80 GIT binary patch delta 23 dcmdnc!ngs5X4!D0BpN0s8d;=mUS!k93IJ@72&Vu5 delta 23 dcmdnc!ngs5X4!BUm?fK98knSRUS!k93IJxP2ps?b diff --git 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b77a8e8f1697e7..92fe2a3d8dbba3 100644 --- a/selfdrive/car/gm/carcontroller.py +++ b/selfdrive/car/gm/carcontroller.py @@ -57,17 +57,16 @@ def __init__(self, dbc_name, CP, VM): self.accel_g = 0.0 @staticmethod - def calc_pedal_command(accel: float, long_active: bool) -> float: + def calc_pedal_command(accel: float, long_active: bool, car_velocity) -> float: if not long_active: return 0. - zero = 0.15625 # 40/256 - if accel > 0.: - # Scales the accel from 0-1 to 0.156-1 - pedal_gas = clip(((1 - zero) * accel + zero), 0., 1.) + if accel < -0.5: + pedal_gas = 0 else: - # if accel is negative, -0.1 -> 0.015625 - pedal_gas = clip(zero + accel, 0., zero) # Make brake the same size as gas, but clip to regen + pedaloffset = interp(car_velocity, [0., 3, 6, 30], [0.10, 0.175, 0.240, 0.240]) + pedal_gas = clip((pedaloffset + accel * 0.6), 0.0, 1.0) + return pedal_gas @@ -160,7 +159,7 @@ def update(self, CC, CS, now_nanos, frogpilot_toggles): self.apply_gas = self.params.INACTIVE_REGEN if self.CP.carFingerprint in CC_ONLY_CAR: # gas interceptor only used for full long control on cars without ACC - interceptor_gas_cmd = self.calc_pedal_command(actuators.accel, CC.longActive) + interceptor_gas_cmd = self.calc_pedal_command(actuators.accel, CC.longActive, CS.out.vEgo) if self.CP.enableGasInterceptor and self.apply_gas > self.params.INACTIVE_REGEN and CS.out.cruiseState.standstill: # "Tap" the accelerator pedal to re-engage ACC diff --git a/selfdrive/car/gm/carstate.py b/selfdrive/car/gm/carstate.py index b1728bd396dfec..dec2b30186dbb8 100644 --- a/selfdrive/car/gm/carstate.py +++ b/selfdrive/car/gm/carstate.py @@ -96,7 +96,7 @@ def update(self, pt_cp, cam_cp, loopback_cp, frogpilot_toggles): if self.CP.enableGasInterceptor: ret.gas = (pt_cp.vl["GAS_SENSOR"]["INTERCEPTOR_GAS"] + pt_cp.vl["GAS_SENSOR"]["INTERCEPTOR_GAS2"]) / 2. - threshold = 10 if self.CP.carFingerprint in CAMERA_ACC_CAR else 4 # Panda 515 threshold = 10.88. Set lower to avoid panda blocking messages and GasInterceptor faulting. + threshold = 20 if self.CP.carFingerprint in CAMERA_ACC_CAR else 4 # Panda 515 threshold = 10.88. Set lower to avoid panda blocking messages and GasInterceptor faulting. ret.gasPressed = ret.gas > threshold else: ret.gas = pt_cp.vl["AcceleratorPedal2"]["AcceleratorPedal2"] / 254. diff --git a/selfdrive/car/gm/interface.py b/selfdrive/car/gm/interface.py index 337f268523c71c..0e5a518cd2ce1b 100644 --- a/selfdrive/car/gm/interface.py +++ b/selfdrive/car/gm/interface.py @@ -29,8 +29,8 @@ ACCELERATOR_POS_MSG = 0xbe NON_LINEAR_TORQUE_PARAMS = { - CAR.CHEVROLET_BOLT_EUV: [2.6531724862969748, 1.0, 0.1919764879840985, 0.009054123646805178], - CAR.CHEVROLET_BOLT_CC: [2.6531724862969748, 1.0, 0.1919764879840985, 0.009054123646805178], + CAR.CHEVROLET_BOLT_EUV: [1.8, 1.1, 0.3, -0.045], + CAR.CHEVROLET_BOLT_CC: [1.8, 1.1, 0.3, -0.045], CAR.GMC_ACADIA: [4.78003305, 1.0, 0.3122, 0.05591772], CAR.CHEVROLET_SILVERADO: [3.29974374, 1.0, 0.25571356, 0.0465122] } @@ -74,8 +74,8 @@ def sig(val): # ToDo: To generalize to other GMs, explore tanh function as the nonlinear non_linear_torque_params = NON_LINEAR_TORQUE_PARAMS.get(self.CP.carFingerprint) assert non_linear_torque_params, "The params are not defined" - a, b, c, _ = non_linear_torque_params - steer_torque = (sig(latcontrol_inputs.lateral_acceleration * a) * b) + (latcontrol_inputs.lateral_acceleration * c) + a, b, c, d = non_linear_torque_params + steer_torque = (sig(latcontrol_inputs.lateral_acceleration * a) * b) + (latcontrol_inputs.lateral_acceleration * c) + d return float(steer_torque) + friction def torque_from_lateral_accel_neural(self, latcontrol_inputs: LatControlInputs, torque_params: car.CarParams.LateralTorqueTuning, lateral_accel_error: float, @@ -87,13 +87,7 @@ def torque_from_lateral_accel_neural(self, latcontrol_inputs: LatControlInputs, return float(self.neural_ff_model.predict(inputs)) + friction def torque_from_lateral_accel(self) -> TorqueFromLateralAccelCallbackType: - if self.CP.carFingerprint in (CAR.CHEVROLET_BOLT_EUV, CAR.CHEVROLET_BOLT_CC): - self.neural_ff_model = NanoFFModel(NEURAL_PARAMS_PATH, self.CP.carFingerprint) - return self.torque_from_lateral_accel_neural - elif self.CP.carFingerprint in NON_LINEAR_TORQUE_PARAMS: return self.torque_from_lateral_accel_siglin - else: - return self.torque_from_lateral_accel_linear @staticmethod def _get_params(ret, candidate, fingerprint, car_fw, disable_openpilot_long, experimental_long, docs): @@ -118,7 +112,7 @@ def _get_params(ret, candidate, fingerprint, car_fw, disable_openpilot_long, exp ret.vEgoStarting = 0.15 if use_new_api: - ret.longitudinalTuning.kiBP = [5., 35.] + ret.longitudinalTuning.kiBP = [5., 35., 60.] else: ret.longitudinalTuning.deadzoneBP = [0.] ret.longitudinalTuning.deadzoneV = [0.15] @@ -229,6 +223,7 @@ def _get_params(ret, candidate, fingerprint, car_fw, disable_openpilot_long, exp elif candidate in (CAR.CHEVROLET_BOLT_EUV, CAR.CHEVROLET_BOLT_CC): ret.steerActuatorDelay = 0.2 CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning) + ret.lateralTuning.torque.kp = 0.6 if ret.enableGasInterceptor: # ACC Bolts use pedal for full longitudinal control, not just sng @@ -299,14 +294,14 @@ def _get_params(ret, candidate, fingerprint, car_fw, disable_openpilot_long, exp ret.safetyConfigs[0].safetyParam |= Panda.FLAG_GM_PEDAL_LONG # Note: Low speed, stop and go not tested. Should be fairly smooth on highway if use_new_api: - ret.longitudinalTuning.kiBP = [0.0, 5., 35.] - ret.longitudinalTuning.kiV = [0.0, 0.35, 0.5] + ret.longitudinalTuning.kiBP = [0., 3., 6., 35.] + ret.longitudinalTuning.kiV = [0.125, 0.175, 0.225, 0.33] else: ret.longitudinalTuning.kpBP = [5., 35.] ret.longitudinalTuning.kpV = [0.35, 0.5] ret.longitudinalTuning.kiBP = [0., 35.0] ret.longitudinalTuning.kiV = [0.1, 0.1] - ret.longitudinalTuning.kf = 0.15 + ret.longitudinalTuning.kf = 0.25 ret.stoppingDecelRate = 0.8 else: # Pedal used for SNG, ACC for longitudinal control otherwise ret.safetyConfigs[0].safetyParam |= Panda.FLAG_GM_HW_CAM_LONG diff --git a/selfdrive/car/interfaces.py b/selfdrive/car/interfaces.py index 8ab60d786ecbed..2b2d94310e1d02 100644 --- a/selfdrive/car/interfaces.py +++ b/selfdrive/car/interfaces.py @@ -375,7 +375,7 @@ def configure_torque_tune(candidate, tune, steering_angle_deadzone_deg=0.0, use_ tune.init('torque') tune.torque.useSteeringAngle = use_steering_angle - tune.torque.kp = 1.0 + tune.torque.kp = 0.6 tune.torque.kf = 1.0 tune.torque.ki = 0.1 tune.torque.friction = params['FRICTION'] diff --git a/selfdrive/car/torque_data/override.toml b/selfdrive/car/torque_data/override.toml index b37817b4cc6e40..86187301e19a0d 100644 --- a/selfdrive/car/torque_data/override.toml +++ b/selfdrive/car/torque_data/override.toml @@ -43,7 +43,7 @@ legend = ["LAT_ACCEL_FACTOR", "MAX_LAT_ACCEL_MEASURED", "FRICTION"] "CADILLAC_ESCALADE" = [1.899999976158142, 1.842270016670227, 0.1120000034570694] "CADILLAC_ESCALADE_ESV_2019" = [1.15, 1.3, 0.2] "CADILLAC_XT4" = [1.45, 1.6, 0.2] -"CHEVROLET_BOLT_EUV" = [2.0, 2.0, 0.05] +"CHEVROLET_BOLT_EUV" = [2.0, 2.0, 0.06] "CHEVROLET_MALIBU_CC" = [1.85, 1.85, 0.075] "CHEVROLET_SILVERADO" = [1.9, 1.9, 0.112] "CHEVROLET_TRAILBLAZER" = [1.33, 1.9, 0.16] diff --git a/selfdrive/frogpilot/assets/other_images/frogpilot_boot_logo.jpg b/selfdrive/frogpilot/assets/other_images/frogpilot_boot_logo.jpg new file mode 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