Perception for autonomous driving in urban road environment

Abstract

This thesis focuses on developing the perception functions for vehicle autonomous driving in the urban road environment. Fundamental perception requirements are identified through literature review, and the contributions of this thesis are the minimal-sensing solutions for these perception requirements. We demonstrate that with the minimal sensing ability, our algorithms are able to achieve equivalent or better performance compared to existing techniques.