The traffic_light_map_based_detector Package

Overview

traffic_light_map_based_detector calculates where the traffic lights will appear in the image based on the HD map.

Calibration and vibration errors can be entered as parameters, and the size of the detected RegionOfInterest will change according to the error.

If the node receives route information, it only looks at traffic lights on that route. If the node receives no route information, it looks at a radius of 200 meters and the angle between the traffic light and the camera is less than 40 degrees.

Input topics

Name	Type	Description
~input/vector_map	autoware_auto_mapping_msgs::HADMapBin	vector map
~input/camera_info	sensor_msgs::CameraInfo	target camera parameter
~input/route	autoware_planning_msgs::LaneletRoute	optional: route

Output topics

Name	Type	Description
~output/rois	tier4_perception_msgs::TrafficLightRoiArray	location of traffic lights in image corresponding to the camera info
~expect/rois	tier4_perception_msgs::TrafficLightRoiArray	location of traffic lights in image without any offset
~debug/markers	visualization_msgs::MarkerArray	visualization to debug

Node parameters

Parameter	Type	Description
max_vibration_pitch	double	Maximum error in pitch direction. If -5~+5, it will be 10.
max_vibration_yaw	double	Maximum error in yaw direction. If -5~+5, it will be 10.
max_vibration_height	double	Maximum error in height direction. If -5~+5, it will be 10.
max_vibration_width	double	Maximum error in width direction. If -5~+5, it will be 10.
max_vibration_depth	double	Maximum error in depth direction. If -5~+5, it will be 10.
max_detection_range	double	Maximum detection range in meters. Must be positive
min_timestamp_offset	double	Minimum timestamp offset when searching for corresponding tf
max_timestamp_offset	double	Maximum timestamp offset when searching for corresponding tf
timestamp_sample_len	double	sampling length between min_timestamp_offset and max_timestamp_offset