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roi_cluster_fusion#

Purpose#

The roi_cluster_fusion is a package for filtering clusters that are less likely to be objects and overwriting labels of clusters with that of Region Of Interests (ROIs) by a 2D object detector.

Inner-workings / Algorithms#

The clusters are projected onto image planes, and then if the ROIs of clusters and ROIs by a detector are overlapped, the labels of clusters are overwritten with that of ROIs by detector. Intersection over Union (IoU) is used to determine if there are overlaps between them.

roi_cluster_fusion_image

Inputs / Outputs#

Input#

Name Type Description
input tier4_perception_msgs::msg::DetectedObjectsWithFeature clustered pointcloud
input/camera_info[0-7] sensor_msgs::msg::CameraInfo camera information to project 3d points onto image planes
input/rois[0-7] tier4_perception_msgs::msg::DetectedObjectsWithFeature ROIs from each image
input/image_raw[0-7] sensor_msgs::msg::Image images for visualization

Output#

Name Type Description
output tier4_perception_msgs::msg::DetectedObjectsWithFeature labeled cluster pointcloud
~/debug/image_raw[0-7] sensor_msgs::msg::Image images for visualization

Parameters#

The following figure is an inner pipeline overview of RoI cluster fusion node. Please refer to it for your parameter settings.

roi_cluster_fusion_pipeline

Core Parameters#

Name Type Description
fusion_distance double If the detected object's distance to frame_id is less than the threshold, the fusion will be processed
trust_object_distance double if the detected object's distance is less than the trust_object_distance, trust_object_iou_mode will be used, otherwise non_trust_object_iou_mode will be used
trust_object_iou_mode string select mode from 3 options {iou, iou_x, iou_y} to calculate IoU in range of [0, trust_distance].
 iou: IoU along x-axis and y-axis
 iou_x: IoU along x-axis
 iou_y: IoU along y-axis
non_trust_object_iou_mode string the IOU mode using in range of [trust_distance, fusion_distance] if trust_distance < fusion_distance
use_cluster_semantic_type bool if false, the labels of clusters are overwritten by UNKNOWN before fusion
only_allow_inside_cluster bool if true, the only clusters contained inside RoIs by a detector
roi_scale_factor double the scale factor for offset of detector RoIs if only_allow_inside_cluster=true
iou_threshold double the IoU threshold to overwrite a label of clusters with a label of roi
unknown_iou_threshold double the IoU threshold to fuse cluster with unknown label of roi
remove_unknown bool if true, remove all UNKNOWN labeled objects from output
rois_number int the number of input rois
debug_mode bool If true, subscribe and publish images for visualization.

Assumptions / Known limits#

(Optional) Error detection and handling#

(Optional) Performance characterization#

(Optional) Future extensions / Unimplemented parts#