Mica's cable shipped

This commit is contained in:
firestar5683
2026-06-17 11:49:14 -05:00
parent a71be7c47b
commit 540becea52
2 changed files with 99 additions and 0 deletions
@@ -220,6 +220,12 @@ COMFORTABLE_PULLAWAY_FOLLOW_MIN_MODEL_PROB = 0.95
COMFORTABLE_PULLAWAY_FOLLOW_MIN_LEAD_DELTA = -0.05
COMFORTABLE_PULLAWAY_FOLLOW_MIN_LEAD_ACCEL = 0.20
COMFORTABLE_PULLAWAY_FOLLOW_MIN_HEADWAY_MARGIN = 0.20
SPACIOUS_TRACKED_FOLLOW_MIN_MODEL_PROB = 0.98
SPACIOUS_TRACKED_FOLLOW_MIN_HEADWAY_MARGIN = 0.45
SPACIOUS_TRACKED_FOLLOW_MAX_CLOSING_SPEED = 0.60
SPACIOUS_TRACKED_FOLLOW_MAX_LEAD_BRAKE = 0.10
SPACIOUS_TRACKED_FOLLOW_LATCH_TIME = 1.25
SPACIOUS_TRACKED_FOLLOW_LATCH_MIN_LEAD_DELTA = 0.90
LOW_SPEED_FOLLOW_ACCEL_CAP_MAX_SPEED = 12.0
LOW_SPEED_FOLLOW_ACCEL_CAP_MIN_MODEL_PROB = 0.85
LOW_SPEED_FOLLOW_ACCEL_CAP_MAX_LEAD_BRAKE = 0.20
@@ -559,6 +565,7 @@ class LongitudinalPlanner:
self.untracked_slow_lead_confirm_t = 0.0
self.manual_stop_resume_override_until = 0.0
self.lead_depart_accel_hold_until = 0.0
self.spacious_follow_cap_bypass_until = 0.0
if self.is_preap:
try:
@@ -1297,6 +1304,38 @@ class LongitudinalPlanner:
headway_margin = actual_headway - float(t_follow)
return headway_margin >= COMFORTABLE_PULLAWAY_FOLLOW_MIN_HEADWAY_MARGIN
def is_spacious_low_closure_follow(self, lead, v_ego, t_follow):
if lead is None or not lead.status or float(v_ego) < CRUISE_TRACKED_LEAD_ACCEL_CAP_MIN_SPEED:
return False
lead_radar = bool(getattr(lead, "radar", False))
lead_prob = float(getattr(lead, "modelProb", 1.0 if lead_radar else 0.0))
if not lead_radar and lead_prob < SPACIOUS_TRACKED_FOLLOW_MIN_MODEL_PROB:
return False
if abs(float(getattr(lead, "yRel", 0.0))) > CRUISE_TRACKED_LEAD_ACCEL_CAP_MAX_LATERAL_OFFSET:
return False
lead_brake = max(0.0, -float(getattr(lead, "aLeadK", 0.0)))
if lead_brake > SPACIOUS_TRACKED_FOLLOW_MAX_LEAD_BRAKE:
return False
closing_speed = max(float(v_ego) - float(lead.vLead), 0.0)
if closing_speed > SPACIOUS_TRACKED_FOLLOW_MAX_CLOSING_SPEED:
return False
if self.raw_close_lead_needs_control(lead, v_ego):
return False
actual_headway = float(lead.dRel) / max(float(v_ego), 1e-3)
headway_margin = actual_headway - float(t_follow)
return headway_margin >= SPACIOUS_TRACKED_FOLLOW_MIN_HEADWAY_MARGIN
def spacious_follow_cap_bypass_active(self, lead, v_ego, t_follow, tracking_lead_active):
if not tracking_lead_active or time.monotonic() > self.spacious_follow_cap_bypass_until:
return False
return self.is_spacious_low_closure_follow(lead, v_ego, t_follow)
def get_lead_catchup_accel_cap(self, lead, v_ego, t_follow, current_source=None, tracking_lead_active=False):
if lead is None or not lead.status:
return None
@@ -1331,6 +1370,8 @@ class LongitudinalPlanner:
if current_source == "cruise" and tracking_lead_active and self.is_comfortable_accelerating_away_follow(lead, v_ego, t_follow):
return None
if current_source == "cruise" and self.spacious_follow_cap_bypass_active(lead, v_ego, t_follow, tracking_lead_active):
return None
if not low_speed_follow_window and self.is_stable_post_departure_pullaway(lead, v_ego, t_follow):
return None
@@ -1405,6 +1446,8 @@ class LongitudinalPlanner:
if tracking_lead_active and self.is_comfortable_accelerating_away_follow(lead, v_ego, t_follow):
return None
if self.spacious_follow_cap_bypass_active(lead, v_ego, t_follow, tracking_lead_active):
return None
closing_speed = max(float(v_ego) - float(lead.vLead), 0.0)
raw_close_lead = self.raw_close_lead_needs_control(lead, v_ego)
@@ -2100,6 +2143,21 @@ class LongitudinalPlanner:
not recently_braked
)
if lead_one_active and self.mpc.source == "cruise":
lead_delta = float(self.lead_one.vLead) - float(scene_v_ego)
lead_brake = max(0.0, -float(getattr(self.lead_one, "aLeadK", 0.0)))
if (
self.is_spacious_low_closure_follow(self.lead_one, scene_v_ego, effective_t_follow) and
lead_brake <= SPACIOUS_TRACKED_FOLLOW_MAX_LEAD_BRAKE and
(
self.is_stable_post_departure_pullaway(self.lead_one, scene_v_ego, effective_t_follow) or
lead_delta >= SPACIOUS_TRACKED_FOLLOW_LATCH_MIN_LEAD_DELTA
)
):
self.spacious_follow_cap_bypass_until = now_t + SPACIOUS_TRACKED_FOLLOW_LATCH_TIME
elif not lead_one_active:
self.spacious_follow_cap_bypass_until = 0.0
# Calculate scene uncertainty from model desire prediction entropy and disengage predictions
uncertainty = 0.0
if hasattr(sm['modelV2'], 'meta'):
@@ -1,3 +1,4 @@
import time
import sys
import types
from types import SimpleNamespace
@@ -1932,6 +1933,46 @@ def test_route_8bc6_cruise_tracking_cap_skips_comfortable_accelerating_radar_fol
assert cap is None
def test_route_687_voacc_catchup_cap_skips_spacious_low_closure_follow_with_flat_lead_accel():
v_ego = 12.2
CP = CarInterface.get_non_essential_params(CAR.HONDA_CIVIC)
planner = LongitudinalPlanner(CP, init_v=v_ego)
lead = make_lead(
status=True, d_rel=25.5, v_lead=12.10, a_lead=0.0, radar=False, model_prob=0.999, y_rel=0.10,
)
planner.spacious_follow_cap_bypass_until = time.monotonic() + 1.0
cap = planner.get_lead_catchup_accel_cap(
lead,
v_ego,
1.45,
current_source="cruise",
tracking_lead_active=True,
)
assert cap is None
def test_route_687_voacc_cruise_tracking_cap_skips_spacious_low_closure_follow_with_flat_lead_accel():
v_ego = 12.2
CP = CarInterface.get_non_essential_params(CAR.HONDA_CIVIC)
planner = LongitudinalPlanner(CP, init_v=v_ego)
lead = make_lead(
status=True, d_rel=25.5, v_lead=12.10, a_lead=0.0, radar=False, model_prob=0.999, y_rel=0.10,
)
planner.spacious_follow_cap_bypass_until = time.monotonic() + 1.0
cap = planner.get_cruise_tracking_lead_accel_cap(
lead,
v_ego,
1.45,
current_source="cruise",
tracking_lead_active=True,
)
assert cap is None
def test_low_speed_follow_catchup_uses_raw_vehicle_speed_when_cluster_runs_high():
v_ego = 7.8
CP = CarInterface.get_non_essential_params(CAR.HONDA_CIVIC)