Map Turn Speed Control
Added toggle for "Map Turn Speed Control". Credit goes to Pfeiferj! https: //github.com/pfeiferj Co-Authored-By: Jacob Pfeifer <jacob@pfeifer.dev>
This commit is contained in:
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selfdrive/frogpilot/assets/toggle_icons/icon_speed_map.png
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selfdrive/frogpilot/assets/toggle_icons/icon_speed_map.png
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@@ -1,6 +1,8 @@
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import cereal.messaging as messaging
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import numpy as np
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from openpilot.common.conversions import Conversions as CV
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from openpilot.common.numpy_fast import clip
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from openpilot.selfdrive.car.interfaces import ACCEL_MIN, ACCEL_MAX
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from openpilot.selfdrive.controls.lib.desire_helper import LANE_CHANGE_SPEED_MIN
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from openpilot.selfdrive.controls.lib.longitudinal_mpc_lib.long_mpc import STOP_DISTANCE
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@@ -9,6 +11,8 @@ from openpilot.selfdrive.controls.lib.longitudinal_planner import A_CRUISE_MIN,
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from openpilot.selfdrive.frogpilot.functions.frogpilot_functions import CRUISING_SPEED, FrogPilotFunctions
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from openpilot.selfdrive.frogpilot.functions.conditional_experimental_mode import ConditionalExperimentalMode
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from openpilot.selfdrive.frogpilot.functions.map_turn_speed_controller import MapTurnSpeedController
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class FrogPilotPlanner:
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def __init__(self, CP, params, params_memory):
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@@ -18,7 +22,9 @@ class FrogPilotPlanner:
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self.fpf = FrogPilotFunctions()
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self.cem = ConditionalExperimentalMode(self.params_memory)
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self.mtsc = MapTurnSpeedController()
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self.mtsc_target = 0
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self.road_curvature = 0
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self.stop_distance = 0
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self.v_cruise = 0
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@@ -30,8 +36,13 @@ class FrogPilotPlanner:
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def update(self, carState, controlsState, modelData, mpc, sm, v_cruise, v_ego):
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enabled = controlsState.enabled
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# Use the stock deceleration profile to handle MTSC more precisely
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v_cruise_changed = self.mtsc_target < v_cruise
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# Configure the deceleration profile
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if self.deceleration_profile == 1:
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if v_cruise_changed:
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min_accel = A_CRUISE_MIN
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elif self.deceleration_profile == 1:
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min_accel = self.fpf.get_min_accel_eco(v_ego)
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elif self.deceleration_profile == 2:
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min_accel = self.fpf.get_min_accel_sport(v_ego)
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@@ -82,7 +93,20 @@ class FrogPilotPlanner:
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v_cruise_cluster = max(controlsState.vCruiseCluster, controlsState.vCruise) * CV.KPH_TO_MS
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v_cruise_diff = v_cruise_cluster - v_cruise
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targets = []
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# Pfeiferj's Map Turn Speed Controller
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if self.map_turn_speed_controller and v_ego > CRUISING_SPEED and enabled:
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mtsc_active = self.mtsc_target < v_cruise
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self.mtsc_target = np.clip(self.mtsc.target_speed(v_ego, carState.aEgo), CRUISING_SPEED, v_cruise)
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# MTSC failsafes
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if self.mtsc_curvature_check and self.road_curvature < 1.0 and not mtsc_active:
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self.mtsc_target = v_cruise
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if v_ego - self.mtsc_limit >= self.mtsc_target:
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self.mtsc_target = v_cruise
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else:
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self.mtsc_target = v_cruise
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targets = [self.mtsc_target]
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filtered_targets = [target for target in targets if target > CRUISING_SPEED]
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return min(filtered_targets) if filtered_targets else v_cruise
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@@ -92,6 +116,7 @@ class FrogPilotPlanner:
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frogpilot_plan_send.valid = sm.all_checks(service_list=['carState', 'controlsState'])
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frogpilotPlan = frogpilot_plan_send.frogpilotPlan
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frogpilotPlan.adjustedCruise = float(self.mtsc_target * (CV.MS_TO_KPH if self.is_metric else CV.MS_TO_MPH))
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frogpilotPlan.conditionalExperimental = self.cem.experimental_mode
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frogpilotPlan.desiredFollowDistance = mpc.safe_obstacle_distance - mpc.stopped_equivalence_factor
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@@ -136,3 +161,9 @@ class FrogPilotPlanner:
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self.deceleration_profile = params.get_int("DecelerationProfile") if longitudinal_tune else 0
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self.aggressive_acceleration = longitudinal_tune and params.get_bool("AggressiveAcceleration")
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self.increased_stopping_distance = params.get_int("StoppingDistance") * (1 if self.is_metric else CV.FOOT_TO_METER) if longitudinal_tune else 0
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self.map_turn_speed_controller = params.get_bool("MTSCEnabled")
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if self.map_turn_speed_controller:
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self.mtsc_curvature_check = params.get_bool("MTSCCurvatureCheck")
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self.mtsc_limit = params.get_float("MTSCLimit") * (CV.KPH_TO_MS if self.is_metric else CV.MPH_TO_MS)
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self.params_memory.put_float("MapTargetLatA", 2 * (params.get_int("MTSCAggressiveness") / 100))
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152
selfdrive/frogpilot/functions/map_turn_speed_controller.py
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152
selfdrive/frogpilot/functions/map_turn_speed_controller.py
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@@ -0,0 +1,152 @@
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import json
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import math
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from openpilot.common.conversions import Conversions as CV
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from openpilot.common.numpy_fast import interp
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from openpilot.common.params import Params
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params_memory = Params("/dev/shm/params")
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R = 6373000.0 # approximate radius of earth in meters
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TO_RADIANS = math.pi / 180
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TO_DEGREES = 180 / math.pi
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TARGET_JERK = -0.6 # m/s^3 There's some jounce limits that are not consistent so we're fudging this some
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TARGET_ACCEL = -1.2 # m/s^2 should match up with the long planner limit
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TARGET_OFFSET = 1.0 # seconds - This controls how soon before the curve you reach the target velocity. It also helps
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# reach the target velocity when innacuracies in the distance modeling logic would cause overshoot.
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# The value is multiplied against the target velocity to determine the additional distance. This is
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# done to keep the distance calculations consistent but results in the offset actually being less
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# time than specified depending on how much of a speed diffrential there is between v_ego and the
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# target velocity.
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def calculate_accel(t, target_jerk, a_ego):
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return a_ego + target_jerk * t
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def calculate_distance(t, target_jerk, a_ego, v_ego):
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return t * v_ego + a_ego/2 * (t ** 2) + target_jerk/6 * (t ** 3)
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def calculate_velocity(t, target_jerk, a_ego, v_ego):
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return v_ego + a_ego * t + target_jerk/2 * (t ** 2)
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# points should be in radians
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# output is meters
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def distance_to_point(ax, ay, bx, by):
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a = math.sin((bx-ax)/2)*math.sin((bx-ax)/2) + math.cos(ax) * math.cos(bx)*math.sin((by-ay)/2)*math.sin((by-ay)/2)
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c = 2 * math.atan2(math.sqrt(a), math.sqrt(1-a))
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return R * c # in meters
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class MapTurnSpeedController:
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def __init__(self):
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self.target_lat = 0.0
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self.target_lon = 0.0
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self.target_v = 0.0
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def target_speed(self, v_ego, a_ego) -> float:
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lat = 0.0
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lon = 0.0
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try:
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position = json.loads(params_memory.get("LastGPSPosition"))
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lat = position["latitude"]
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lon = position["longitude"]
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except: return 0.0
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try:
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target_velocities = json.loads(params_memory.get("MapTargetVelocities"))
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except: return 0.0
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min_dist = 1000
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min_idx = 0
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distances = []
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# find our location in the path
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for i in range(len(target_velocities)):
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target_velocity = target_velocities[i]
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tlat = target_velocity["latitude"]
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tlon = target_velocity["longitude"]
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d = distance_to_point(lat * TO_RADIANS, lon * TO_RADIANS, tlat * TO_RADIANS, tlon * TO_RADIANS)
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distances.append(d)
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if d < min_dist:
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min_dist = d
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min_idx = i
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# only look at values from our current position forward
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forward_points = target_velocities[min_idx:]
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forward_distances = distances[min_idx:]
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# find velocities that we are within the distance we need to adjust for
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valid_velocities = []
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for i in range(len(forward_points)):
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target_velocity = forward_points[i]
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tlat = target_velocity["latitude"]
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tlon = target_velocity["longitude"]
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tv = target_velocity["velocity"]
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if tv > v_ego:
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continue
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d = forward_distances[i]
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a_diff = (a_ego - TARGET_ACCEL)
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accel_t = abs(a_diff / TARGET_JERK)
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min_accel_v = calculate_velocity(accel_t, TARGET_JERK, a_ego, v_ego)
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max_d = 0
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if tv > min_accel_v:
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# calculate time needed based on target jerk
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a = 0.5 * TARGET_JERK
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b = a_ego
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c = v_ego - tv
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t_a = -1 * ((b**2 - 4 * a * c) ** 0.5 + b) / 2 * a
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t_b = ((b**2 - 4 * a * c) ** 0.5 - b) / 2 * a
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if not isinstance(t_a, complex) and t_a > 0:
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t = t_a
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else:
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t = t_b
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if isinstance(t, complex):
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continue
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max_d = max_d + calculate_distance(t, TARGET_JERK, a_ego, v_ego)
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else:
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t = accel_t
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max_d = calculate_distance(t, TARGET_JERK, a_ego, v_ego)
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# calculate additional time needed based on target accel
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t = abs((min_accel_v - tv) / TARGET_ACCEL)
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max_d += calculate_distance(t, 0, TARGET_ACCEL, min_accel_v)
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if d < max_d + tv * TARGET_OFFSET:
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valid_velocities.append((float(tv), tlat, tlon))
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# Find the smallest velocity we need to adjust for
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min_v = 100.0
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target_lat = 0.0
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target_lon = 0.0
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for tv, lat, lon in valid_velocities:
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if tv < min_v:
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min_v = tv
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target_lat = lat
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target_lon = lon
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if self.target_v < min_v and not (self.target_lat == 0 and self.target_lon == 0):
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for i in range(len(forward_points)):
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target_velocity = forward_points[i]
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tlat = target_velocity["latitude"]
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tlon = target_velocity["longitude"]
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tv = target_velocity["velocity"]
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if tv > v_ego:
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continue
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if tlat == self.target_lat and tlon == self.target_lon and tv == self.target_v:
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return float(self.target_v)
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# not found so lets reset
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self.target_v = 0.0
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self.target_lat = 0.0
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self.target_lon = 0.0
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self.target_v = min_v
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self.target_lat = target_lat
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self.target_lon = target_lon
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return min_v
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@@ -33,6 +33,12 @@ FrogPilotControlsPanel::FrogPilotControlsPanel(SettingsWindow *parent) : FrogPil
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{"AggressiveAcceleration", "Aggressive Acceleration With Lead", "Increase acceleration aggressiveness when following a lead vehicle from a stop.", ""},
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{"StoppingDistance", "Increase Stop Distance Behind Lead", "Increase the stopping distance for a more comfortable stop from lead vehicles.", ""},
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{"MTSCEnabled", "Map Turn Speed Control", "Slow down for anticipated curves detected by your downloaded maps.", "../frogpilot/assets/toggle_icons/icon_speed_map.png"},
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{"DisableMTSCSmoothing", "Disable MTSC UI Smoothing", "Disables the smoothing for the requested speed in the onroad UI.", ""},
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{"MTSCCurvatureCheck", "Model Curvature Detection Failsafe", "Only trigger MTSC when the model detects a curve in the road. Purely used as a failsafe to prevent false positives. Leave this off if you never experience false positives.", ""},
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{"MTSCLimit", "Speed Change Hard Cap", "Set a hard cap for MTSC. If MTSC requests a speed decrease greater than this value, it ignores the requested speed from MTSC. Purely used as a failsafe to prevent false positives. Leave this off if you never experience false positives.", ""},
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{"MTSCAggressiveness", "Turn Speed Aggressiveness", "Set turn speed aggressiveness. Higher values result in faster turns, lower values yield gentler turns.\n\nA change of +- 1% results in the velocity being raised or lowered by about 1 mph.", ""},
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{"QOLControls", "Quality of Life", "Miscellaneous quality of life changes to improve your overall openpilot experience.", "../frogpilot/assets/toggle_icons/quality_of_life.png"},
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{"DisableOnroadUploads", "Disable Onroad Uploads", "Prevent large data uploads when onroad.", ""},
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{"HigherBitrate", "Higher Bitrate Recording", "Increases the quality of the footage uploaded to comma connect.", ""},
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@@ -213,6 +219,20 @@ FrogPilotControlsPanel::FrogPilotControlsPanel(SettingsWindow *parent) : FrogPil
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} else if (param == "StoppingDistance") {
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toggle = new FrogPilotParamValueControl(param, title, desc, icon, 0, 10, std::map<int, QString>(), this, false, " feet");
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} else if (param == "MTSCEnabled") {
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FrogPilotParamManageControl *mtscToggle = new FrogPilotParamManageControl(param, title, desc, icon, this);
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QObject::connect(mtscToggle, &FrogPilotParamManageControl::manageButtonClicked, this, [this]() {
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parentToggleClicked();
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for (auto &[key, toggle] : toggles) {
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toggle->setVisible(mtscKeys.find(key.c_str()) != mtscKeys.end());
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}
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});
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toggle = mtscToggle;
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} else if (param == "MTSCAggressiveness") {
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toggle = new FrogPilotParamValueControl(param, title, desc, icon, 1, 200, std::map<int, QString>(), this, false, "%");
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} else if (param == "MTSCLimit") {
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toggle = new FrogPilotParamValueControl(param, title, desc, icon, 0, 99, std::map<int, QString>(), this, false, " mph");
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} else if (param == "QOLControls") {
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FrogPilotParamManageControl *qolToggle = new FrogPilotParamManageControl(param, title, desc, icon, this);
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QObject::connect(qolToggle, &FrogPilotParamManageControl::manageButtonClicked, this, [this]() {
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@@ -309,17 +329,24 @@ void FrogPilotControlsPanel::updateMetric() {
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double speedConversion = isMetric ? MILE_TO_KM : KM_TO_MILE;
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params.putIntNonBlocking("CESpeed", std::nearbyint(params.getInt("CESpeed") * speedConversion));
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params.putIntNonBlocking("CESpeedLead", std::nearbyint(params.getInt("CESpeedLead") * speedConversion));
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params.putIntNonBlocking("MTSCLimit", std::nearbyint(params.getInt("MTSCLimit") * speedConversion));
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params.putIntNonBlocking("StoppingDistance", std::nearbyint(params.getInt("StoppingDistance") * distanceConversion));
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}
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FrogPilotParamValueControl *mtscLimitToggle = static_cast<FrogPilotParamValueControl*>(toggles["MTSCLimit"]);
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FrogPilotParamValueControl *stoppingDistanceToggle = static_cast<FrogPilotParamValueControl*>(toggles["StoppingDistance"]);
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if (isMetric) {
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mtscLimitToggle->updateControl(0, 99, " kph");
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stoppingDistanceToggle->updateControl(0, 5, " meters");
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} else {
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mtscLimitToggle->updateControl(0, 99, " mph");
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stoppingDistanceToggle->updateControl(0, 10, " feet");
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}
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mtscLimitToggle->refresh();
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stoppingDistanceToggle->refresh();
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previousIsMetric = isMetric;
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@@ -41,7 +41,7 @@ private:
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std::set<QString> laneChangeKeys = {};
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std::set<QString> lateralTuneKeys = {"ForceAutoTune"};
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std::set<QString> longitudinalTuneKeys = {"AccelerationProfile", "DecelerationProfile", "AggressiveAcceleration", "StoppingDistance"};
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std::set<QString> mtscKeys = {};
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std::set<QString> mtscKeys = {"DisableMTSCSmoothing", "MTSCAggressiveness", "MTSCCurvatureCheck", "MTSCLimit"};
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std::set<QString> qolKeys = {"DisableOnroadUploads", "HigherBitrate", "ReverseCruise"};
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std::set<QString> speedLimitControllerKeys = {};
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std::set<QString> speedLimitControllerControlsKeys = {};
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