Perception systems for autonomous vehicles

Lead Research Organisation: University of Warwick
Department Name: WMG

Abstract

Automated driving is believed to be an integral part of the future of transportation. As one of the key functions, perceiving traffic environment reliably with the support of various sensors is extremely crucial to the full functioning of an automated driving vehicle. LiDAR and camera, which provide a variety of features, have been wildly accepted in the field of automated driving with a great potential to provide a most promising perception solution. This project will be focusing on investigating the full potential of them and generating a solution to meet industrial standards. The scope of this project might include but not limited to the following topics:
LiDAR-based object detection, classification, and tracking;
LiDAR and camera detection association;
Feature extraction from associated LiDAR and camera data;
Feature-level object fusion with LiDAR and camera;
A generic testing method for perception functions with LiDAR and camera

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R513374/1 01/10/2018 30/09/2023
2276624 Studentship EP/R513374/1 30/09/2019 31/03/2023 Rebecca Louise Burridge