From c13261e3915a987ac27d8448a9fba1caf867b93e Mon Sep 17 00:00:00 2001 From: FrogAi <91348155+FrogAi@users.noreply.github.com> Date: Sun, 26 May 2024 23:06:02 -0700 Subject: [PATCH] Controls - Conditional Experimental Mode - Slower Lead Detected Ahead Switch to 'Experimental Mode' when a slower lead vehicle is detected ahead. --- selfdrive/frogpilot/controls/frogpilot_planner.py | 7 +++++++ .../controls/lib/conditional_experimental_mode.py | 14 ++++++++++++++ 2 files changed, 21 insertions(+) diff --git a/selfdrive/frogpilot/controls/frogpilot_planner.py b/selfdrive/frogpilot/controls/frogpilot_planner.py index bb1a1c8..a7be82f 100644 --- a/selfdrive/frogpilot/controls/frogpilot_planner.py +++ b/selfdrive/frogpilot/controls/frogpilot_planner.py @@ -26,6 +26,8 @@ class FrogPilotPlanner: self.cem = ConditionalExperimentalMode() + self.slower_lead = False + self.acceleration_jerk = 0 self.frame = 0 self.road_curvature = 0 @@ -60,6 +62,11 @@ class FrogPilotPlanner: self.frame += 1 def update_follow_values(self, lead_distance, stopping_distance, v_ego, v_lead, frogpilot_toggles): + # Offset by FrogAi for FrogPilot for a more natural approach to a slower lead + if frogpilot_toggles.conditional_experimental_mode and v_lead < v_ego: + distance_factor = max(lead_distance - (v_lead * self.t_follow), 1) + braking_offset = np.clip((v_ego - v_lead) - COMFORT_BRAKE, 1, distance_factor) + self.slower_lead = max(braking_offset, 1) > 1 def update_v_cruise(self, carState, controlsState, frogpilotCarState, frogpilotNavigation, liveLocationKalman, modelData, v_cruise, v_ego, frogpilot_toggles): v_cruise_cluster = max(controlsState.vCruiseCluster, controlsState.vCruise) * CV.KPH_TO_MS diff --git a/selfdrive/frogpilot/controls/lib/conditional_experimental_mode.py b/selfdrive/frogpilot/controls/lib/conditional_experimental_mode.py index f0a5d4b..9328819 100644 --- a/selfdrive/frogpilot/controls/lib/conditional_experimental_mode.py +++ b/selfdrive/frogpilot/controls/lib/conditional_experimental_mode.py @@ -14,6 +14,7 @@ class ConditionalExperimentalMode: self.curvature_mac = MovingAverageCalculator() self.lead_detection_mac = MovingAverageCalculator() + self.slow_lead_mac = MovingAverageCalculator() def update(self, carState, enabled, frogpilotNavigation, lead_distance, lead, modelData, road_curvature, slower_lead, v_ego, v_lead, frogpilot_toggles): self.update_conditions(lead_distance, lead.status, modelData, road_curvature, slower_lead, carState.standstill, v_ego, v_lead, frogpilot_toggles) @@ -37,6 +38,10 @@ class ConditionalExperimentalMode: self.status_value = 11 if self.lead_detected else 12 return True + if frogpilot_toggles.conditional_slower_lead and self.slower_lead_detected: + self.status_value = 12 if self.lead_stopped else 13 + return True + if frogpilot_toggles.conditional_curves and self.curve_detected: self.status_value = 15 return True @@ -46,6 +51,7 @@ class ConditionalExperimentalMode: def update_conditions(self, lead_distance, lead_status, modelData, road_curvature, slower_lead, standstill, v_ego, v_lead, frogpilot_toggles): self.lead_detection(lead_status) self.road_curvature(road_curvature, v_ego, frogpilot_toggles) + self.slow_lead(slower_lead) def lead_detection(self, lead_status): self.lead_detection_mac.add_data(lead_status) @@ -61,3 +67,11 @@ class ConditionalExperimentalMode: else: self.curvature_mac.reset_data() self.curve_detected = False + + def slow_lead(self, slower_lead): + if self.lead_detected: + self.slow_lead_mac.add_data(self.lead_stopped or slower_lead) + self.slower_lead_detected = self.slow_lead_mac.get_moving_average() >= PROBABILITY + else: + self.slow_lead_mac.reset_data() + self.slower_lead_detected = False