Vehicle active safety applications by fusing multiple-sensor for the Springrobot system

Abstract

This paper presents the Springrobot system and its applications in vehicle active safety, and it is divided into three parts. Firstly, we describe in detail Springrobot intelligent vehicle's hardware structure, internal and external sensing systems, sensor fusion, and its control system. The second part is its vehicle active safety applications including lane departure warning system, forward collision avoidance assistance system, and onroad vehicle detection system using BGF. We describe not only the system structure and algorithm, but also the experimental results. The third part is that we conclude with related research field that we are currently pursuing and direction for future work in, for example, obstacle detection and classification using statistical learning methods, vehicular telematics.