提交 bf7c571d 编写于 作者: L Liangliang Zhang 提交者: Jiaming Tao

Perception: removed old config files for lane post process and probabilistic fusion.

上级 200fda09
......@@ -2,7 +2,6 @@ model_config_path: "model/tracker.config"
model_config_path: "model/cnn_segmentation.config"
model_config_path: "model/hdmap_roi_filter.config"
model_config_path: "model/modest_radar_detector.config"
model_config_path: "model/probabilistic_fusion.config"
model_config_path: "model/async_fusion.config"
model_config_path: "model/sequence_type_fuser.config"
model_config_path: "model/traffic_light/multi_camera_projection.config"
......@@ -13,4 +12,3 @@ model_config_path: "model/traffic_light/preprocessor.config"
model_config_path: "model/traffic_light/subnodes.config"
model_config_path: "model/camera/yolo_camera_detector.config"
model_config_path: "model/camera/geometry_camera_converter.config"
model_config_path: "model/camera/lane_post_process.config"
model_configs {
name: "CCLanePostProcessor"
version: "0.1.0"
string_params {
name: "space_type"
value: "vehicle"
}
integer_params {
name: "image_width"
value: 1920
}
integer_params {
name: "image_height"
value: 1080
}
array_float_params {
name: "roi"
values: 0
values: 440
values: 1920
values: 640
}
bool_params {
name: "use_non_mask"
value: false
}
array_float_params {
name: "non_mask"
values: 960 # x coordinate of point
values: 810 # y coordinate of point
values: 1260
values: 1079
values: 660
values: 1079
}
float_params {
name: "lane_map_confidence_thresh"
value: 0.5
}
float_params {
name: "cc_split_siz"
value: 50.0
}
integer_params {
name: "cc_split_len"
value: 25
}
integer_params {
name: "min_cc_pixel_num"
value: 10
}
integer_params {
name: "min_cc_size"
value: 5
}
float_params {
name: "min_y_search_offset"
value: 0.5
}
float_params {
name: "min_y_search_offset_image"
value: 0.5
}
# association method
string_params {
name: "assoc_method"
value: "greedy_group_connect"
}
# minimum distance
float_params {
name: "assoc_min_distance"
value: -0.5
}
float_params {
name: "assoc_min_distance_image"
value: -3
}
# maximum distance
float_params {
name: "assoc_max_distance"
value: 60.0
}
float_params {
name: "assoc_max_distance_image"
value: 400.0
}
float_params {
name: "assoc_distance_weight"
value: 0.4
}
# max deviation angle
float_params {
name: "assoc_max_deviation_angle"
value: 15.0
}
float_params {
name: "assoc_max_deviation_angle_image"
value: 45.0
}
float_params {
name: "assoc_deviation_angle_weight"
value: 0.2
}
# max departure distance
float_params {
name: "assoc_max_departure_distance"
value: 3.0
}
float_params {
name: "assoc_max_departure_distance_image"
value: 80.0
}
float_params {
name: "assoc_departure_distance_weight"
value: 0.2
}
# max relative orientation
float_params {
name: "assoc_max_relative_orie"
value: 15.0
}
float_params {
name: "assoc_max_relative_orie_image"
value: 45.0
}
float_params {
name: "assoc_relative_orie_weight"
value: 0.2
}
# minimum size threshold used for orientation estimation
float_params {
name: "assoc_min_orientation_estimation_size"
value: 3.0
}
float_params {
name: "assoc_min_orientation_estimation_size_image"
value: 10.0
}
# maximum number of markers for each CC used in greed search association
integer_params {
name: "max_cc_marker_match_num"
value: 1
}
# maximum window size for greed sliding window association
float_params {
name: "slide_window_size"
value: 15.0
}
float_params {
name: "slide_window_size_image"
value: 200.0
}
# maximum number of markers used for greed sliding window association
integer_params {
name: "slide_window_max_point_num"
value: 3
}
# maximum number of markers used for orientation estimation in greed group connect association
integer_params {
name: "max_group_prediction_marker_num"
value: 3
}
# skip marker number used for orientation estimation in marker association
integer_params {
name: "orientation_estimation_skip_marker_num"
value: 1
}
# predefined lane interval distance
float_params {
name: "lane_interval_distance"
value: 4.0
}
# minimum size of lane instances to be prefiltered
float_params {
name: "min_instance_size_prefiltered"
value: 3.0
}
float_params {
name: "min_instance_size_prefiltered_image"
value: 20.0
}
# maximum size used for fitting straight lines on lane instances
float_params {
name: "max_size_to_fit_straight_line"
value: 10.0
}
float_params {
name: "max_size_to_fit_straight_line_image"
value: 300.0
}
# initial online pitch angle (in degree)
float_params {
name: "online_pitch_angle"
value: -2.5
}
# initial ground height (in meter)
float_params {
name: "ground_height"
value: 1.6
}
# maximum perception distance for transformer (in meter)
float_params {
name: "max_distance_to_see_for_transformer"
value: 500.0
}
}
\ No newline at end of file
model_configs {
# Probabilistic_Fusion model.
name: "ProbabilisticFusion"
version: "1.0.0"
string_params {
name: "match_method"
value: "hm_matcher"
}
float_params {
name: "max_match_distance"
value: 4.0
}
float_params {
name: "max_lidar_invisible_period"
value: 0.25
}
float_params {
name: "max_radar_invisible_period"
value: 0.25
}
float_params {
name: "max_radar_confident_angle"
value: 30
}
float_params {
name: "min_radar_confident_distance"
value: 40
}
# publish the fused object if it has a lidar measurement
bool_params {
name: "publish_if_has_lidar"
value: true
}
# publish the fused object if it has a radar measurement
bool_params {
name: "publish_if_has_radar"
value: true
}
string_params {
name: "publish_sensor"
# candidate values: "velodyne_64", "radar", "camera_front_short"
value: "velodyne_64"
}
bool_params {
name: "use_radar"
value: true
}
bool_params {
name: "use_lidar"
value: true
}
}
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