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separate object parameters between each classification label
Signed-off-by: Maxime CLEMENT <maxime.clement@tier4.jp>
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  • autoware_launch/config/planning/scenario_planning/lane_driving/motion_planning/motion_velocity_planner

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+22
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autoware_launch/config/planning/scenario_planning/lane_driving/motion_planning/motion_velocity_planner/run_out.param.yaml

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objects:
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target_labels: ["PEDESTRIAN", "BICYCLE", "MOTORCYCLE"]
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minimum_velocity: 0.5 # [m/s] objects lower than this velocity will be ignored
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predicted_path_min_confidence : 0.1 # when using predicted paths, ignore the ones whose confidence is lower than this value.
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ignore: # options to ignore some objects
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if_stopped: true # if true, object with a velocity bellow the threshold are ignored
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stopped_velocity_threshold: 0.5 # [m/s]
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if_on_ego_trajectory: true # if true, object located on the ego trajectory footprint are ignored
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if_behind_ego: true # if true, objects located behind the ego vehicles are ignored
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if_pedestrian_on_crosswalk: true # if true, pedestrians located on a crosswalk are ignored
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if_vehicle_on_yield_lane: true # if true, non-pedestrians are ignored if coming from a lane yielding to the ego lane
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confidence_filtering:
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threshold: 0.0 # [-] only use predicted paths with a higher confidence value than this threshold
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only_use_highest: true # if true, only the path(s) with the highest confidence are used
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cut_predicted_paths: # options to cut predicted paths of dynamic objects
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if_crossing_ego_from_behind: true # if true, cut after crossing the ego vehicle
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polygon_types: ["crosswalk"] # types of polygons in the vector map used to cut predicted paths
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linestring_types: ["guard_rail"] # types of linestrings in the vector map used to cut predicted paths
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# for each target labels we can specify the following parameters
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DEFAULT:
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ignore: # options to ignore some objects
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if_stopped: false # if true, object with a velocity bellow the threshold are ignored
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stopped_velocity_threshold: 0.5 # [m/s]
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if_on_ego_trajectory: true # if true, object located on the ego trajectory footprint are ignored
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if_behind_ego: true # if true, objects located behind the ego vehicles are ignored
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if_on_crosswalk: false # if true, objects located on a crosswalk are ignored
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if_on_yield_lane: true # if true, objects are ignored if coming from a lane yielding to the ego lane
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confidence_filtering:
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threshold: 0.0 # [-] only use predicted paths with a higher confidence value than this threshold
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only_use_highest: true # if true, only the path(s) with the highest confidence are used
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cut_predicted_paths: # options to cut predicted paths of dynamic objects
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if_crossing_ego_from_behind: true # if true, cut after crossing the ego vehicle
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polygon_types: ["NONE"] # types of polygons in the vector map used to cut predicted paths
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linestring_types: ["guard_rail"] # types of linestrings in the vector map used to cut predicted paths
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PEDESTRIAN:
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ignore: # options to ignore some objects
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if_on_crosswalk: true # if true, pedestrians located on a crosswalk are ignored
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if_on_yield_lane: false # if true, non-pedestrians are ignored if coming from a lane yielding to the ego lane
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cut_predicted_paths: # options to cut predicted paths of dynamic objects
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polygon_types: ["crosswalk"] # types of polygons in the vector map used to cut predicted paths

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