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The research of implementing safety driving system based on camera vision system

Camera Vision 기반 주행안전 시스템 구현에 관한 연구

  • Park, Hwa-Beom (Department of Bio Medical Engineering, Ajou University) ;
  • Kim, Young-Kil (Department of Electronic Engineering, Ajou University)
  • Received : 2019.07.02
  • Accepted : 2019.08.26
  • Published : 2019.09.30

Abstract

The information and communication technology that is being developed recently has been greatly influencing the automobile market. In recent years, devices equipped with IT technology have been installed for the safety and convenience of the driver. However, it has the advantage of increased convenience as well as the disadvantage of increasing traffic accidents due to driver's distraction. In order to prevent such accidents, it is necessary to develop safety systems of various types and ways. In this paper implements a platform that can recognize LDWS and FCWS and PDWS by using a single camera without using radar sensor and camera fusion and stereo camera method using two or more sensors, and proposes to study multi-function driving safety platform using a single camera by analyzing recognition rate evaluation and validity on a vehicle.

최근 발전되고 있는 정보통신 IT 기술은 자동차 시장에도 큰 영향을 미치며 발전하고 있다. 근래에는 운전자의 안전성과 편의성을 위해 IT 기술이 접목된 장치들이 장착되고 있다. 하지만 편의성이 증가된 장점과 함께 운전자의 주의 분산으로 인해 교통사고를 증가시키는 단점도 가져오게 되었다. 이러한 사고를 미연에 방지하기 위해 여러 방식과 종류의 안전시스템 개발이 필요하다. 본 논문에서는 두 개 이상의 센서를 이용한 레이더센서 와 카메라 융합 방식 및 Stereo Camera 방식을 이용하지 않고 하나의 단일 Camera를 이용하여 주/야간 차선이탈 경보 및 장애물 및 보행자 인식이 가능한 플랫폼을 구현 하고 차량에서 인식률 평가 및 유효성을 분석 하여 단일 카메라를 이용한 다기능 주행안전 플랫폼 연구를 제안 한다.

Keywords

References

  1. K.S. Lee, S.W. Heo, and T.H. Park, "A Lane Detection and Tracking Method Using Image Saturation and Road Width Data," Journal of Institute of Control, Robotics and Systems, vol. 25, no. 5, pp. 476-483, May. 2019. https://doi.org/10.5302/J.ICROS.2019.19.0008
  2. H.S. Yu, "System Design and Implementation with Improved FCWS Detection Speed," The Journal of Korean Institute of Information Technology, vol.16, no. 1, pp. 53-60, Jan. 2018. https://doi.org/10.14801/jkiit.2018.16.1.53
  3. S.W. Han, and Y.J. Jeon, "Real-time FCWS implementation using CPU-FPGA architectur," Institute of Korean Electrical and Electronics Engineers, vol. 21, no. 4, pp. 358-367, Dec. 2017.
  4. N. Shazwani, "A Vehicle Detection Based on Underneath Vehicle Shadow Using Edge Features," 2016 6th IEEE International Conference on Control System, Computing and Engineering, Penang, Malaysia, pp. 25-27, Nov. 2016.
  5. L. Bourdev, and J. Brandt, "Robust object detection via soft cascade," IEEE Computer Vision and Pattern Recognition, pp. 236-243, 2005.
  6. D.S. Han, M.W. Jeong, and H.S. Kim, "A Study on Image Rotation Correction of Real Time Using ACB Algorithm Based on Sobel Edge," The Journal of Korean Institute of Information Technology, vol. 13, no. 6, pp. 1-6, Jun. 2015.
  7. J.H. Lee, and Y.I. Kang, "A Method of Lane Marker Detection Robust to Environmental Variation Using Lane Trackin," Journal of Korea Multimedia Society, vol. 21, no.12, pp. 1396-1406, Dec. 2018. https://doi.org/10.9717/KMMS.2018.21.12.1396