The implementation of LiDAR-based traffic detection and tracking

This thesis described the implementation of a data processing pipeline that processes raw point clouds from a rotational LiDAR to a list of tracked objects. During the implementation a novel background removal method is developed and an improvement is presented to determine the orientation based on an object's point cluster.