Research and experiment report of forward collision warning system based on monocular vision
Lie Guo, R Wang, Bingfei Gu, Lei Jin, Xiao Guo · PROCEEDINGS OF THE 14TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS (ITS), HELD BEIJING, OCTOBER 2007 · 2007
This paper introduces the research and experiment results of a safety range warning system JLUIV-SRWS (Jilin University Intelligent Vehicle-Safety Range Warning System) developed by Jilin University. The proposed system uses artificial intelligence theory and technology to realize the detection and tracking of front vehicle under different conditions, and then establishes the warning decision to keep a certain safety range. The method proposed in this paper can realize the real-time vehicle detection and forward collision warning. Lots of experiments have been done to validate the algorithm. Experimental results show that the system has good reliability in different environment and different illumination. For the covering abstract see ITRD E140665.