From b14bb8ff38943de9e14d8475e9a2a26f9201ac89 Mon Sep 17 00:00:00 2001 From: firestar5683 <168790843+firestar5683@users.noreply.github.com> Date: Wed, 18 Feb 2026 16:45:01 -0600 Subject: [PATCH] CEM Transition --- .../lib/conditional_experimental_mode.py | 37 +++++++++++-------- 1 file changed, 21 insertions(+), 16 deletions(-) diff --git a/frogpilot/controls/lib/conditional_experimental_mode.py b/frogpilot/controls/lib/conditional_experimental_mode.py index d76e06f13..428d2b984 100644 --- a/frogpilot/controls/lib/conditional_experimental_mode.py +++ b/frogpilot/controls/lib/conditional_experimental_mode.py @@ -1,4 +1,6 @@ #!/usr/bin/env python3 +import time + from openpilot.common.filter_simple import FirstOrderFilter from openpilot.common.realtime import DT_MDL from openpilot.common.numpy_fast import interp @@ -32,6 +34,10 @@ class ConditionalExperimentalMode: LIGHT_BOOST_LOW = 1.15 LIGHT_BOOST_HIGH = 1.2 + # Small latch to avoid frame-to-frame mode chatter. + CEM_TRANSITION_GUARD_TIME = 0.50 + CEM_TRANSITION_BUFFER_TIME = 0.25 + @staticmethod def get_speed_based_param(speed_mph, param_array): """Get parameter value based on current speed using smooth interpolation between breakpoints [0, 35, 55, 70]""" @@ -49,8 +55,12 @@ class ConditionalExperimentalMode: self.experimental_mode = False self.stop_light_detected = False self.prev_experimental_mode = False # For hysteresis + self.mode_hold_until = 0.0 + self.mode_false_since = 0.0 def update(self, v_ego, sm, frogpilot_toggles): + now = time.monotonic() + if frogpilot_toggles.experimental_mode_via_press: self.status_value = params_memory.get_int("CEStatus") else: @@ -58,28 +68,23 @@ class ConditionalExperimentalMode: if self.status_value not in {1, 2} and not sm["carState"].standstill: self.update_conditions(v_ego, sm, frogpilot_toggles) - new_experimental_mode = self.check_conditions(v_ego, sm, frogpilot_toggles) - # Add hysteresis to prevent rapid toggling - if new_experimental_mode and not self.prev_experimental_mode: - # Require weaker conditions to turn on - hysteresis_factor = 0.9 - elif not new_experimental_mode and self.prev_experimental_mode: - # Require stronger conditions to turn off - hysteresis_factor = 1.2 - else: - hysteresis_factor = 1.0 + triggered = self.check_conditions(v_ego, sm, frogpilot_toggles) + if triggered: + self.mode_hold_until = now + self.CEM_TRANSITION_GUARD_TIME + self.mode_false_since = 0.0 + elif self.mode_false_since == 0.0: + self.mode_false_since = now - # Apply hysteresis to key conditions - if hasattr(self, 'slow_lead_detected'): - self.slow_lead_detected = self.slow_lead_detected if hysteresis_factor == 1.0 else (self.slow_lead_filter.x >= scale_threshold(v_ego) * hysteresis_factor) - if hasattr(self, 'curve_detected'): - self.curve_detected = self.curve_detected if hysteresis_factor == 1.0 else (self.curvature_filter.x >= THRESHOLD * hysteresis_factor) + hold_active = now < self.mode_hold_until + transition_buffer_active = self.mode_false_since != 0.0 and (now - self.mode_false_since) < self.CEM_TRANSITION_BUFFER_TIME - self.experimental_mode = self.check_conditions(v_ego, sm, frogpilot_toggles) + self.experimental_mode = triggered or hold_active or transition_buffer_active self.prev_experimental_mode = self.experimental_mode params_memory.put_int("CEStatus", self.status_value if self.experimental_mode else 0) else: + self.mode_hold_until = 0.0 + self.mode_false_since = 0.0 self.experimental_mode = self.status_value == 2 or sm["carState"].standstill and self.experimental_mode and self.frogpilot_planner.model_stopped self.stop_light_detected &= self.status_value not in {1, 2} self.stop_light_filter.x = 0