Front and rear vehicle detection and tracking in the day and night times using vision and sonar sensor fusion

@article{Kim2005FrontAR,
  title={Front and rear vehicle detection and tracking in the day and night times using vision and sonar sensor fusion},
  author={S. Kim and Se-Young Oh and Jeong-Kwan Kang and Youngwoo Ryu and Kwang-soo Kim and Sangcheol Park and Kyong-Ha Park},
  journal={2005 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year={2005},
  pages={2173-2178}
}
  • S. Kim, Se-Young Oh, +4 authors Kyong-Ha Park
  • Published 2005
  • Computer Science
  • 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems
  • Active research into vehicle detection and tracking using a vision sensor are done for driver assistance systems (DAS) - collision warning and avoidance, vision enhancement, etc. The vehicle detection and tracking algorithm for DAS requires a robust feature extraction and tracking method regardless of the light and road conditions and an exact estimation of vehicle position and velocity regardless of the distance from the ego-vehicle. But most research was carried out in the day time with good… CONTINUE READING
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