forked from commaai/openpilot
-
Notifications
You must be signed in to change notification settings - Fork 72
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
revert PR commaai#737 - did not improve lane centering, caused issues…
… with crossing lane lines
- Loading branch information
Showing
1 changed file
with
66 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,66 @@ | ||
from common.numpy_fast import interp | ||
import numpy as np | ||
from selfdrive.controls.lib.latcontrol_helpers import model_polyfit, calc_desired_path, compute_path_pinv | ||
|
||
CAMERA_OFFSET = 0.06 # m from center car to camera | ||
|
||
|
||
class ModelParser(object): | ||
def __init__(self): | ||
self.d_poly = [0., 0., 0., 0.] | ||
self.c_poly = [0., 0., 0., 0.] | ||
self.c_prob = 0. | ||
self.last_model = 0. | ||
self.lead_dist, self.lead_prob, self.lead_var = 0, 0, 1 | ||
self._path_pinv = compute_path_pinv() | ||
|
||
self.lane_width_estimate = 3.7 | ||
self.lane_width_certainty = 1.0 | ||
self.lane_width = 3.7 | ||
self.l_prob = 0. | ||
self.r_prob = 0. | ||
self.x_points = np.arange(50) | ||
|
||
def update(self, v_ego, md): | ||
if len(md.leftLane.poly): | ||
l_poly = np.array(md.leftLane.poly) | ||
r_poly = np.array(md.rightLane.poly) | ||
p_poly = np.array(md.path.poly) | ||
else: | ||
l_poly = model_polyfit(md.leftLane.points, self._path_pinv) # left line | ||
r_poly = model_polyfit(md.rightLane.points, self._path_pinv) # right line | ||
p_poly = model_polyfit(md.path.points, self._path_pinv) # predicted path | ||
|
||
# only offset left and right lane lines; offsetting p_poly does not make sense | ||
l_poly[3] += CAMERA_OFFSET | ||
r_poly[3] += CAMERA_OFFSET | ||
|
||
p_prob = 1. # model does not tell this probability yet, so set to 1 for now | ||
l_prob = md.leftLane.prob # left line prob | ||
r_prob = md.rightLane.prob # right line prob | ||
|
||
# Find current lanewidth | ||
lr_prob = l_prob * r_prob | ||
self.lane_width_certainty += 0.05 * (lr_prob - self.lane_width_certainty) | ||
current_lane_width = abs(l_poly[3] - r_poly[3]) | ||
self.lane_width_estimate += 0.005 * (current_lane_width - self.lane_width_estimate) | ||
speed_lane_width = interp(v_ego, [0., 31.], [3., 3.8]) | ||
self.lane_width = self.lane_width_certainty * self.lane_width_estimate + \ | ||
(1 - self.lane_width_certainty) * speed_lane_width | ||
|
||
self.lead_dist = md.lead.dist | ||
self.lead_prob = md.lead.prob | ||
self.lead_var = md.lead.std**2 | ||
|
||
# compute target path | ||
self.d_poly, self.c_poly, self.c_prob = calc_desired_path( | ||
l_poly, r_poly, p_poly, l_prob, r_prob, p_prob, v_ego, self.lane_width) | ||
|
||
self.r_poly = r_poly | ||
self.r_prob = r_prob | ||
|
||
self.l_poly = l_poly | ||
self.l_prob = l_prob | ||
|
||
self.p_poly = p_poly | ||
self.p_prob = p_prob |