A Real-time Precrash Vehicle Detection System

  title={A Real-time Precrash Vehicle Detection System},
  author={Zehang Sun and Ronald Miller and George Bebis and David DiMeo},
This paper presents an in-vehicle real-time monocular precrash vehicle detection system. The system acquires grey level images through a forward facing low light camera and achieves an average detection rate of 10Hz. The vehicle detection algorithm consists of two main steps: multi-scale driven hypothesis generation and appearancebased hypothesis verification. In the multi-scale hypothesis generation step, possible image locations where vehicles might be present are hypothesized. This step uses… CONTINUE READING
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A stereo-based vehicle detection method under windy conditions

  • M. Suwa
  • IEEE Intelligent Vehicle Symposium, pp. 246–249…
  • 2000
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