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FrogAi
47 lines
2.2 KiB
Python
47 lines
2.2 KiB
Python
from openpilot.common.params import Params
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from openpilot.selfdrive.frogpilot.controls.lib.frogpilot_functions import MovingAverageCalculator
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from openpilot.selfdrive.frogpilot.controls.lib.frogpilot_variables import CITY_SPEED_LIMIT, PROBABILITY
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class ConditionalExperimentalMode:
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def __init__(self, FrogPilotPlanner):
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self.params_memory = Params("/dev/shm/params")
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self.frogpilot_planner = FrogPilotPlanner
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self.curvature_mac = MovingAverageCalculator()
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self.curve_detected = False
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self.experimental_mode = False
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def update(self, carState, frogpilotNavigation, modelData, v_ego, v_lead, frogpilot_toggles):
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if not carState.standstill:
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self.update_conditions(self.frogpilot_planner.tracking_lead, v_ego, v_lead, frogpilot_toggles)
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self.experimental_mode = self.check_conditions(carState, frogpilotNavigation, modelData, self.frogpilot_planner.tracking_lead, v_ego, v_lead, frogpilot_toggles)
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self.params_memory.put_int("CEStatus", self.status_value if self.experimental_mode else 0)
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else:
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self.experimental_mode = carState.standstill and self.experimental_mode
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def check_conditions(self, carState, frogpilotNavigation, modelData, tracking_lead, v_ego, v_lead, frogpilot_toggles):
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below_speed = frogpilot_toggles.conditional_limit > v_ego >= 1 and not tracking_lead
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below_speed_with_lead = frogpilot_toggles.conditional_limit_lead > v_ego >= 1 and tracking_lead
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if below_speed or below_speed_with_lead:
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self.status_value = 7 if tracking_lead else 8
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return True
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if frogpilot_toggles.conditional_curves and self.curve_detected and (frogpilot_toggles.conditional_curves_lead or not tracking_lead):
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self.status_value = 12
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return True
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return False
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def update_conditions(self, tracking_lead, v_ego, v_lead, frogpilot_toggles):
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self.curve_detection(v_ego, frogpilot_toggles)
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def curve_detection(self, v_ego, frogpilot_toggles):
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curve_detected = (1 / self.frogpilot_planner.road_curvature)**0.5 < v_ego
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curve_active = (0.9 / self.frogpilot_planner.road_curvature)**0.5 < v_ego and self.curve_detected
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self.curvature_mac.add_data(curve_detected or curve_active)
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self.curve_detected = self.curvature_mac.get_moving_average() >= PROBABILITY
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