Transactions of the Korean Society of Automotive Engineers (한국자동차공학회논문집)

The Korean Society of Automotive Engineers (한국자동차공학회)
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Development of a Frontal Collision Detection Algorithm Using Laser Scanners

레이져 스캐너를 이용한 전방 충돌 예측 알고리즘 개발

  • Lee, Dong-Hwi (Department of Automotive Engineering, Hanyang University) ;
  • Han, Kwang-Jin (Department of Automotive Engineering, Hanyang University) ;
  • Cho, Sang-Min (R&D Center, Hyundai-Kia Motor Company) ;
  • Kim, Yong-Sun (R&D Center, Hyundai-Kia Motor Company) ;
  • Huh, Kun-Soo (Department of Automotive Engineering, Hanyang University)
  • 이동휘 (한양대학교 자동차공학과) ;
  • 한광진 (한양대학교 자동차공학과) ;
  • 조상민 (현대자동차 기술연구소) ;
  • 김용선 (현대자동차 기술연구소) ;
  • 허건수 (한양대학교 미래자동차공학과)
  • Received : 2011.08.02
  • Accepted : 2011.10.17
  • Published : 2012.05.01
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Abstract

Collision detection plays a key role in collision mitigation system. The malfunction of the collision mitigation system can result in another dangerous situation or unexpected feeling to driver and passenger. To prevent this situation, the collision time, offset, and collision decision should be determined from the appropriate collision detection algorithm. This study focuses on a method to determine the time to collision (TTC) and frontal offset (FO) between the ego vehicle and the target object. The path prediction method using the ego vehicle information is proposed to improve the accuracy of TTC and FO. The path prediction method utilizes the ego vehicle motion data for better prediction performance. The proposed algorithm is developed based on laser scanner. The performance of the proposed detection algorithm is validated in simulations and experiments.

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References

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