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Vision-based Vehicle Detection and Inter-Vehicle Distance Estimation  

Kim, Gi-Seok (Korea University of Technology and Education)
Cho, Jae-Soo (Korea University of Technology and Education)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.49, no.3, 2012 , pp. 1-9 More about this Journal
Abstract
In this paper, we propose a vision-based robust vehicle detection and inter-vehicle distance estimation algorithm for driving assistance system. We use the haar-like features of car rear-shadows, as well as the edge features for detecting of vehicles. The use of additional vehicle edge features greatly reduces the false-positive errors in the vehicle detection. And, after analyzing the conventional two inter-vehicle distance estimation methods: the location-based and the vehicle width-based, an improved inter-vehicle distance estimation algorithm which has the advantage of both method is proposed. Several experimental results show the effectiveness of the proposed method.
Keywords
vision-based vehicle detection; inter-vehicle distance estimation; driver assistance system;
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