This commit is contained in:
James Vecellio-Grant
2026-10-26 12:19:57 -07:00
committed by GitHub
parent aeaa51bd1e
commit c131d7ec0b
+2 -2
View File
@@ -41,10 +41,10 @@ class Blendful:
def update(self, model_output: dict[str, np.ndarray], v_ego: float, active: bool, model_curvature: float, enabled: bool = True) -> float:
self.l_prob = self.r_prob = 0.0
self.model_curvature = model_curvature
if not enabled:
if self.curvature or self.trust:
self.__init__()
self.model_curvature = model_curvature
return 0.0
fading = not active or v_ego < MIN_SPEED
if fading:
@@ -52,7 +52,6 @@ class Blendful:
self.usual_offset.initialized = False
self.lane_width.initialized = False
self.going_around = False
self.model_curvature = model_curvature
target = 0.0 if fading else self._target(model_output, v_ego, model_curvature)
target = self.smooth = self.smooth + (target - self.smooth) * DT_MDL / (DT_MDL + np.interp(abs(model_curvature) * v_ego ** 2, [0.18, 0.53], [0.5, 0.0]))
build = 0.5 / max(v_ego, 1.0) ** 2 * DT_MDL # jerk over 1 second
@@ -133,6 +132,7 @@ class Blendful:
self.going_around = False
self.usual_offset.update_alpha(20.0 if self.going_around else 10.0)
self.usual_offset.update(offset)
if inside_curve:
lane_trust *= np.interp(abs(offset) - abs(center_now) - 0.25 * abs(model_curvature) * lookahead ** 2 / 2, (0.5, 1.0), [1.0, 0.0])
else: