Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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A Method for Rear-side Vehicle Detection and Tracking with Vision System

카메라 기반의 측후방 차량 검출 및 추적 방법

  • Baek, Seunghwan (Department of Mechanical and Automotive Engineering, Inje Univ.) ;
  • Kim, Heungseob (High Safety Vehicle Core Technology Research Center, Inje Univ.) ;
  • Boo, Kwangsuck (High Safety Vehicle Core Technology Research Center, Inje Univ.)
  • 백승환 (인제대학교 기계공학과) ;
  • 김흥섭 (인제대학교 고안전차량핵심기술연구소) ;
  • 부광석 (인제대학교 고안전차량핵심기술연구소)
  • Received : 2014.01.13
  • Accepted : 2014.02.18
  • Published : 2014.03.01
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Abstract

This paper contributes to development of a new method for detecting rear-side vehicles and estimating the positions for blind spot region or providing the lane change information by using vision systems. Because the real image acquired during car driving has a lot of information including the target vehicle and background image as well as the noises such as lighting and shading, it is hard to extract only the target vehicle against the background image with satisfied robustness. In this paper, the target vehicle has been detected by repetitive image processing such as sobel and morphological operations and a Kalman filter has been also designed to cancel the background image and prevent the misreading of the target image. The proposed method can get faster image processing and more robustness rather than the previous researches. Various experiments were performed on the highway driving situations to evaluate the performance of the proposed algorithm.

Keywords

References

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