Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
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Development of Personal Mobility Safety Driving Assistance System Using CNN-Based Object Detection and Boarding Detection Sensor

합성곱 신경망 기반 물체 인식과 탑승 감지 센서를 이용한 개인형 이동수단 주행 안전 보조 시스템 개발

  • Son, Kwon Joong (Department of Mechanical and Design Engineering, Hongik University) ;
  • Bae, Sung Hoon (Department of Mechanical and Design Engineering, Hongik University) ;
  • Lee, Hyun June (Department of Mechanical and Design Engineering, Hongik University)
  • 손권중 (홍익대학교 기계정보공학과) ;
  • 배성훈 (홍익대학교 기계정보공학과) ;
  • 이현준 (홍익대학교 기계정보공학과)
  • Received : 2021.07.28
  • Accepted : 2021.10.20
  • Published : 2021.10.28
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Abstract

A recent spread of personal mobility devices such as electric kickboards has brought about a rapid increase in accident cases. Such vehicles are susceptible to falling accidents due to their low dynamic stability and lack of outer protection chassis. This paper presents the development of an automatic emergency braking system and a safe starting system as driving assistance devices for electric kickboards. The braking system employed artificial intelligence to detect nearby threaening objects. The starting system was developed to disable powder to the motor until when the driver's boarding is confirmed. This study is meaningful in that it proposes the convergence technology of advanced driver assistance systems specialized for personal mobility devices.

최근에 전동킥보드와 같은 개인형 이동수단의 보급이 급격히 확대되면서 교통사고 발생 건수도 크게 늘고있다. 개인형 모빌리티가 자세 안정성이 낮고 탑승자가 외부로 노출되어 전도 사고나 낙상 사고의 위험이 크기 때문이다. 전동킥보드 사고 방지를 위해 본 논문은 주행 보조 장치로써 자동긴급제동시스템과 안전시동시스템을 제안하였다. 인공지능 기반 물체 인식 기술을 이용하여 주변 위험 요소를 탐지하고 자동으로 제동을 걸 수 있는 시스템을 개발하였다. 또한 운전자의 탑승이 확인되기 전까지 장치의 시동을 보류하는 안전시동시스템도 개발하였다. 상용차와 주행 조건이 매우 다른 개인형 이동 수단에 특화된 첨단 운전자 보조 시스템 융합 기술을 제안한다는 점에서 본 연구의 의의가 있다.

Keywords

Acknowledgement

이 논문은 홍익대학교의 '지역특화형 스마트시티 전문대학원 구축 사업'의 지원을 받아 수행된 결과입니다.

References

  1. I. Ha. (2020. June). Current Status and Prospect of Personal Mobility Usage and Sharing Business. Monthly KOTI Magazine on Transport. 6, 6-10.
  2. D. Han, E. Kim & M. Ji. (2020). Analysis of Severity Factors in Personal Mobility (PM) Traffic Accidents. Journal of Korean Society of Transportation, 38(3), 232-247. DOI : 10.7470/jkst.2020.38.3.232
  3. S. Lee & K. Yi. (2019). Controller Design and Validation of Three-Wheeled Personal Mobility Vehicle Considering Lateral Stability and Maneuverability. Transactions of the Korean Society of Mechanical Engineers-A, 43(9), 635-643. DOI : 10.3795/KSME-A.2019.43.9.635
  4. A. Cho, H. Kang, H. Ko & H. Chung. (2019). A Study on Risk Prevention Design of Porthole for Personal Mobility Users. KSDS Conference Proceeding. (pp. 338-339). Seoul : Korean Society of Design Science.
  5. B. Fildes, M. Keall, N. Bos, A. Lie, Y. Page, C. Pastor, L. Pennisi, M. Rizzi, P. Thomas & C. Tingvall. (2015). Effectiveness of Low Speed Autonomous Emergency Braking in Real-World Rear-End Crashes. Accident Analysis and Prevention, 81, 24-29. DOI : 10.1016/j.aap.2015.03.029
  6. X. Xiong, M. Wang, Y. Cai, L. Chen, H. Farah & M. Hagenzieker. (2019). A Forward Collision Avoidance Algorithm Based on Driver Braking Behavior. Accident Analysis and Prevention, 129, 30-43. DOI : 10.1016/j.aap.2019.05.004
  7. J. Tang. (2017). Review: Analysis and Improvement of Traffic Alert and Collision Avoidance System. IEEE Access, 5, 21419-21429. DOI : 10.1109/ACCESS.2017.2757598
  8. R. Utriainen, M. Pollanen & H. Liimatainen. (2020). The Safety Potential of Lane Keeping Assistance and Possible Actions to Improve the Potential. IEEE Transactions on Intelligent Vehicles, 5(4), 556-564. DOI : 10.1109/TIV.2020.2991962
  9. J. S. Lee, J. W. Lee & T. W. Kim. (2019). A Study on the Accident Prevention Effect of Autonomous Emergency Braking System via Meta-analysis. Transactions of the Korean Society of Automotive Engineers, 27(10), 811-818. DOI : 10.7467/KSAE.2019.27.10.811
  10. J. Y. Choi, S. S. Kang, E. A. Park, K. W. Lee, S. H. Lee, S. K. Cho & Y. Kwon. (2019). Study on Effectiveness of Accident Reduction Depending on Autonomous Emergency Braking System. Journal of Auto-vehicle Safety Association, 11(2), 6-10. DOI : 10.22680/kasa2019.11.2.006
  11. K. K. Choi & J. U. Cho. (2020). A Convergent Study on Heat Transfer at Brake Disc of Electric Kickboard. Journal of Korea Convergence Society, 11(11), 233-237. DOI : 10.15207/JKCS.2020.11.11.233
  12. S. C. Han & B. G. Lee. (2018). A Study on Convergence Contact Behavior of Friction Heat and Pad on Disk Brake. Journal of Korea Convergence Society, 9(1), 283-289. DOI : 10.15207/JKCS.2018.9.1.283
  13. J. Kim & J Cho. (2019). YOLO-based Real-Time Object Detection Scheme Combining RGB Image with LiDAR Point Cloud. Journal of KIIT, 17(8), 93-105. DOI : 10.14801/jkiit.2019.17.8.93
  14. W. Kim, F. Dehghan & S Cho. (2020). Vehicle License Plate Recognition System using SSD-Mobilenet and ResNet for Mobile Device. Smart Media Journal, 9(2), 92-98. DOI : 10.30693/SMJ.2020.9.2.92
  15. J. H. Lee. (2018). A Method of Eye and Lip Region Detection using Faster R-CNN in Face Image. Journal of Korea Convergence Society, 9(8), 1-8. DOI : 10.15207/JKCS.2018.9.8.001