Portal de Periódicos da CAPES

A Vision-Based Approach to Collision Prediction at Traffic Intersections

2005; Institute of Electrical and Electronics Engineers; Volume: 6; Issue: 4 Linguagem: Inglês

10.1109/tits.2005.858786

1558-0016

Stefan Atev, H.K. Arumugam, Osama Masoud, Ravi Janardan, Nikos Papanikolopoulos,

Fire Detection and Safety Systems

Monitoring traffic intersections in real time and predicting possible collisions is an important first step towards building an early collision-warning system. We present a vision-based system addressing this problem and describe the practical adaptations necessary to achieve real-time performance. Innovative low-overhead collision-prediction algorithms (such as the one using the time-as-axis paradigm) are presented. The proposed system was able to perform successfully in real time on videos of quarter-video graphics array (VGA) (320 /spl times/ 240) resolution under various weather conditions. The errors in target position and dimension estimates in a test video sequence are quantified and several experimental results are presented.