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map_based_prediction.param.yaml
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/**:
ros__parameters:
enable_delay_compensation: true
prediction_time_horizon: 10.0 #[s]
lateral_control_time_horizon: 5.0 #[s]
prediction_sampling_delta_time: 0.5 #[s]
min_velocity_for_map_based_prediction: 1.39 #[m/s]
min_crosswalk_user_velocity: 1.39 #[m/s]
max_crosswalk_user_delta_yaw_threshold_for_lanelet: 0.785 #[m/s]
dist_threshold_for_searching_lanelet: 3.0 #[m]
delta_yaw_threshold_for_searching_lanelet: 0.785 #[rad]
sigma_lateral_offset: 0.5 #[m]
sigma_yaw_angle_deg: 5.0 #[angle degree]
object_buffer_time_length: 2.0 #[s]
history_time_length: 1.0 #[s]
check_lateral_acceleration_constraints: false # whether to check if the predicted path complies with lateral acceleration constraints
max_lateral_accel: 2.0 # [m/ss] max acceptable lateral acceleration for predicted vehicle paths
min_acceleration_before_curve: -2.0 # [m/ss] min acceleration a vehicle might take to decelerate before a curve
use_vehicle_acceleration: false # whether to consider current vehicle acceleration when predicting paths or not
speed_limit_multiplier: 1.5 # When using vehicle acceleration. Set vehicle's maximum predicted speed as the legal speed limit in that lanelet times this value
acceleration_exponential_half_life: 2.5 # [s] When using vehicle acceleration. The decaying acceleration model considers that the current vehicle acceleration will be halved after this many seconds
crosswalk_with_signal:
use_crosswalk_signal: true
threshold_velocity_assumed_as_stopping: 0.25 # [m/s] velocity threshold for the module to judge whether the objects is stopped
# If the pedestrian does not move for X seconds against green signal, the module judge that the pedestrian has no intention to walk.
distance_set_for_no_intention_to_walk: [1.0, 5.0] # [m] ascending order, keys of map
timeout_set_for_no_intention_to_walk: [1.0, 0.0] # [s] values of map
# parameter for shoulder lane prediction
prediction_time_horizon_rate_for_validate_shoulder_lane_length: 0.8
use_crosswalk_user_history:
match_lost_and_appeared_users: false
remember_lost_users: false
# parameters for lc prediction
lane_change_detection:
method: "lat_diff_distance" # choose from "lat_diff_distance" or "time_to_change_lane"
time_to_change_lane:
dist_threshold_for_lane_change_detection: 1.0 #[m]
time_threshold_for_lane_change_detection: 5.0 #[s]
cutoff_freq_of_velocity_for_lane_change_detection: 0.1 #[Hz]
lat_diff_distance:
dist_ratio_threshold_to_left_bound: -0.5 #[ratio]
dist_ratio_threshold_to_right_bound: 0.5 #[ratio
diff_dist_threshold_to_left_bound: 0.29 #[m]
diff_dist_threshold_to_right_bound: -0.29 #[m]
num_continuous_state_transition: 3
consider_only_routable_neighbours: false
reference_path_resolution: 0.5 #[m]