Projecting LiDAR-detected dynamic object centers onto a 360° fisheye panorama and matching with YOLOv8 bounding boxes doubles tracking persistence for temporarily static workers compared to LiDAR alone.
A Survey on 3D Object Detection Methods for Autonomous Driving Applications,
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Dynamic Object Detection and Tracking in Construction: A Fisheye Camera and LiDAR Sensor Fusion Model
Projecting LiDAR-detected dynamic object centers onto a 360° fisheye panorama and matching with YOLOv8 bounding boxes doubles tracking persistence for temporarily static workers compared to LiDAR alone.