A vision-based approach to collision prediction at traffic intersections

  • Authors:
  • S. Atev;H. Arumugam;O. Masoud;R. Janardan;N. P. Papanikolopoulos

  • Affiliations:
  • Dept. of Comput. Sci. & Eng., Univ. of Minnesota, Minneapolis, MN, USA;-;-;-;-

  • Venue:
  • IEEE Transactions on Intelligent Transportation Systems
  • Year:
  • 2005

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Abstract

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 × 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.