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Pedestrian Detection Using Ultrasonic Distance Sensors Based on Virtual Driving Environments

가상주행환경 기반 초음파 센서의 승합차 측면 보행자 인식

  • Yoon, Hyun-cheol (Department of Mechatronics Engineering, Kyungsung University) ;
  • Choi, Ju Yong (School of Mechatronics, Industrial & Management Engineering, Kyungsung University)
  • 윤현철 (경성대학교 메카트로닉스공학과) ;
  • 최주용 (경성대학교 융합시스템공학부)
  • Received : 2017.01.02
  • Accepted : 2017.03.13
  • Published : 2017.05.01

Abstract

In shuttle vans designed to transport children, the recognition of a child's approach and departure is very important. Ultrasonic sensors are generally used for a short distance around a vehicle. Although ultrasonic sensors are cheaper than other ADAS sensors, the number of sensors installed in a van should be optimized. In order to recognize the presence of a child around a shuttle van, this paper proposes the placement of ultrasonic sensors in the van. Considering the turning radius of the van and the distance from each sensor to a child, collision risk is classified as 'safe', 'warning', and 'danger'. The sensor placement and the recognition algorithm are verified in a virtual driving environment.

Keywords

References

  1. J. S. Park, S. B. Jeong, Y. W. Yun and G. J. Park, "Performance Analysis of an Active System for Pedestrian Protection Using Impact Analysis," Transactions of KSAE, Vol.21, No.6, pp.100-107, 2013. https://doi.org/10.7467/KSAE.2013.21.6.100
  2. W. B. Lee and S. J. Kang, "A Study on Light Weight Hood Design for Pedestrian Safety," Transactions of KSAE, Vol.15, No.1, pp.106-115, 2007.
  3. S. H. Noh and D. R. Lee, "Study on Pedestrian Protection Device in Collision Using Pneumatic Cylinder and Simple Link Mechanism," Journal of the Korean Society for Power System Engineering, Vol.12, No.4, pp.64-71, 2008.
  4. F. Xu and K. Fujimura, "Pedestrian Detection and Tracking with Night Vision," IEEE Transactions on Intelligent Transportation System, Vol.6, No.1, pp.63-71, 2005. https://doi.org/10.1109/TITS.2004.838222
  5. T. K. Tran, N. N. Bui and J. Y. Kim, "Human Object Detection in Video Using Combination between Poselet and Gradient Local Auto-Correlation," Journal of Korean Institute of Information Technology, Vol.13, No.1, pp.45-52, 2015. https://doi.org/10.14801/jkiit.2015.13.1.45
  6. B. J. Choi, B. W. Yoon, J. K. Song and J. S. Park, "Implementation of Pedestrian Detection and Tracking with GPU at Night-time," Journal of Broadcast Engineering, Vol.20, No.3, pp.421-429, 2015. https://doi.org/10.5909/JBE.2015.20.3.421
  7. Y. C. Park and Y. S. Kwon, "The Measurement of Pedestrian Speed in Central Business District," Journal of The Korean Regional Development Association, Vol.15, No.1, pp.113-126, 2003.