Nighttime Vehicle Detection for Driver Assistance and Autonomous Vehicles

  title={Nighttime Vehicle Detection for Driver Assistance and Autonomous Vehicles},
  author={Yen-Lin Chen and Yuan-Hsin Chen and Chao-Jung Chen and Bing-Fei Wu},
  journal={18th International Conference on Pattern Recognition (ICPR'06)},
This study presents an effective method for detecting vehicles in front of the camera-assisted car during nighttime driving. The proposed method detects vehicles based on detecting and locating vehicle headlights and taillights using techniques of image segmentation and pattern analysis. First, to effectively extract bright objects of interest, a segmentation process based on automatic multilevel thresholding is applied on the grabbed road-scene images. Then the extracted bright objects are… CONTINUE READING
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Automatic Vehicle Guidance: The Experience of the ARGO Autonomous Vehicle

  • A. Broggi, M. Bertozzi, A. Fascioli, G. Conte
  • World Scientific, Singapore
  • 1999
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