Vehicle tracking using 2D point cloud data using with OpenCV and PCL (Point Cloud Library) integrated to ROS (Robot Operating System)
This ROS project supported my final-year thesis at the University of Bristol, which aims to propose a robust system to track fleets of connected autonomous vehicle for traffic management. Tracking is based on the Kalman Filter algorithm. The demo was carried out using Raspberry-Pi powered cars driving around a track with two 2D LIDAR Sensors producing point clouds for processing.
