Journal of the Institute of Electronics Engineers of Korea TC (대한전자공학회논문지TC)

The Institute of Electronics and Information Engineers (대한전자공학회)
권호 표지

Intelligent Driver Assistance Systems based on All-Around Sensing

전방향 환경인식에 기반한 지능형 운전자 보조 시스템

  • Kim Sam-Yong (Dept. of Electronics and Electrical Engineering, Pohang University of Science and Technology) ;
  • Kang Geong-Kwan (Dept. of Electronics and Electrical Engineering, Pohang University of Science and Technology) ;
  • Ryu Young-Woo (Agency for Defense Development) ;
  • Oh Se-Young (Dept. of Electronics and Electrical Engineering, Pohang University of Science and Technology) ;
  • Kim Kwang-Soo (SAMSUNG Electronics) ;
  • Park Sang-Cheol (The Korea Intellectual Property Office) ;
  • Kim Jin-Won (SAMSUNG Electronics)
  • Published : 2006.09.01
Download PDF
⟨ Previous Next ⟩

Abstract

DAS(Driver Assistance Systems) support the driver's decision making to increase safety and comfort by issuing the naming signals or even exert the active control in case of dangerous conditions. Most previous research and products intend to offer only a single warning service like the lane departure warning, collision warning, lane change assistance, etc. Although these functions elevate the driving safety and convenience to a certain degree, New type of DAS will be developed to integrate all the important functions with an efficient HMI (Human-Machine Interface) framework for various driving conditions. We propose an all-around sensing based on the integrated DAS that can also remove the blind spots using 2 cameras and 8 sonars, recognize the driving environment by lane and vehicle detection, construct a novel birds-eye HMI for easy comprehension. it can give proper warning in case of imminent danger.

운전자 보조시스템은 운전자가 좀 더 편리하고 안전하게 주행할 수 있도록 주행 정보나 위험 경보를 주거나 적극적인 개입을 통해서 안전사고를 방지할 수 있는 시스템이다. 차선이탈경보, 전후방 충돌경보와 같이 특정한 기능을 갖는 현재의 운전자 보조시스템은 비젼과 거리 센서의 가격 대비 처리성능의 향상으로 통합된 기능성과 HMI (Human-Machine Interface)를 갖는 지능형 운전자 보조시스템으로 발전할 것이다. 본 논문은 2대의 카메라와 8대의 초음파센서를 각각 차량의 전후방과 주변에 설치하여 주행 중인 차량의 환경정보인 실선과 점선의 차선 정보, 사각을 제거한 전방향의 차량의 위치정보를 추출하여 운전자가 전방향의 주행상황을 쉽게 인지할 수 있는 조감영상과 음성충돌경보를 제공하는 지능형 운전자 보조시스템을 제안한다.

Keywords

References

  1. R. Bishop, 'Intelligent Vehicle Technology and Trends,' Artech House, 2005
  2. M. Chen, T. Jochem, and D. Pomerleau, 'AURORA A Vision-Based Departure Warning System,' Proc. IROS95, pp. 243-248, August 1995 https://doi.org/10.1109/IROS.1995.525803
  3. M. Bertozzi, A.Broggi, A.Fascioli and S.Nichele, 'Stereo Vision-based Vehicle Detection,' Proc. of the IEEE. Intelligent Vehicles Symposium, pp. 39-44, 2000 https://doi.org/10.1109/IVS.2000.898315
  4. R.C. Coulter, 'Implementation of the Pure Pursuit Path Tracking Algorithm,' CMU Tech. report CMU-RI-TR-92-01, January, 1992
  5. S.Y. Kim, S.Y. Oh et al., 'Front and Rear Vehicle Detection and Tracking in the Day and Night Times Using Vision and Sonar Sensor Fusion,' Proc. of 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, Edmonton, Canada, pp. 2306-2311, August 2005 https://doi.org/10.1109/IROS.2005.1545321
  6. X. Clady, F. Collange, F. Jurie and P. Martinet, 'Cars Detection and Tracking with a Vision Sensor,' IEEE Intelligent Vehicles 2003 Symposium, pp. 593-598, June 2003 https://doi.org/10.1109/IVS.2003.1212979
  7. I. Matthews, T. Ishikawa, and S. Baker, 'The Template Update Problem', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 6, pp. 810 - 815, June 2004 https://doi.org/10.1109/TPAMI.2004.16