Advanced driver assistance systems techniques using a single camera and lidar

Abstract

The purpose of this thesis is to introduce the development and evaluation of some Advanced Driver Assistance Systems (ADAS) techniques using a single camera and LIDAR. This thesis describes the hardware architecture and software algorithms including lane mark detection (LMD), vehicle detection, vehicle tracking, longitudinal and lateral distance estimation, and sensor fusion. The intention of this thesis is to provide future ADAS developers with an informative technical reference.