Journal of the Ergonomics Society of Korea (대한인간공학회지)

Ergonomics Society of Korea (대한인간공학회)
권호 표지
DOI QR코드

DOI QR Code

Measuring the Intrusive Feeling of a Lane Keeping Assistance System

차선 유지 보조 시스템으로 인해 발생하는 이질감의 계측에 대한 연구

  • Park, Kyudong (Pohang University of Science and Technology (POSTECH), Department of Creative IT Engineering) ;
  • Kwahk, Jiyoung (Pohang University of Science and Technology (POSTECH), Department of Industrial and Management Engineering) ;
  • Han, Sung H. (Pohang University of Science and Technology (POSTECH), Department of Industrial and Management Engineering) ;
  • Song, Minseok (Pohang University of Science and Technology (POSTECH), Department of Industrial and Management Engineering) ;
  • Choi, Dong Gu (Pohang University of Science and Technology (POSTECH), Department of Industrial and Management Engineering) ;
  • Jang, Hyeji (Pohang University of Science and Technology (POSTECH), Department of Industrial and Management Engineering) ;
  • Kim, Dohyeon (Pohang University of Science and Technology (POSTECH), Department of Industrial and Management Engineering)
  • 박규동 (포항공과대학교 창의IT융합공학과) ;
  • 곽지영 (포항공과대학교 산업경영공학과) ;
  • 한성호 (포항공과대학교 산업경영공학과) ;
  • 송민석 (포항공과대학교 산업경영공학과) ;
  • 최동구 (포항공과대학교 산업경영공학과) ;
  • 장혜지 (포항공과대학교 산업경영공학과) ;
  • 김도현 (포항공과대학교 산업경영공학과)
  • Received : 2018.04.20
  • Accepted : 2018.07.03
  • Published : 2018.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

Objective: The objective of this study is to investigate the intrusive feeling caused by a Lane Keeping Assistance System (LKAS) and measure it objectively through the sensor log data of a vehicle. Background: LKAS, one of the Advanced Driver Assistance System (ADAS), directly intervenes in the steering wheel control to assist the driver to keep the lane. Due to the torque generated by the LKAS, the driver has a different and undesirable feeling from a usual situation, which can affect the driving experience. Nevertheless, the performance of the LKAS in most studies focused only on how well the system keeps the lane. Method: Through an actual driving test using a test vehicle equipped with an LKAS, two ADAS experts and two human factor experts observed the intrusive feeling while collecting sensor log data at the same time. After the types of the intrusive feeling were classified, variables that could account for the feeling were derived. Then, this study compared the data collected from the vehicle with and without the intrusive feeling. Results: Three types of the intrusive feeling were observed: abrupt lateral change, steering wheel vibration, and heavy steering. The lateral speed (LS), the high-pass filtered steering angle (FSA), and the interrupt torque (IT) were then derived as the variables that could explain each feeling, respectively. It is found that the patterns of the derived variables are different in driving with and without the intrusive feeling. Conclusion and Application: The intrusive feeling found in this study can be used as a performance index in the development stage of the LKAS. It will be helpful to systematically reduce the intrusive feeling.

Keywords

References

  1. Blaschke, C., Breyer, F., Farber, B., Freyer, J. and Limbacher, R., Driver distraction based lane-keeping assistance. Transportation Research Part F: Traffic Psychology and Behaviour (Elsevier), 12(4), 288-299, 2009. https://doi.org/10.1016/j.trf.2009.02.002
  2. Cho, S.S., Choi, K.H., Lim, J. and Kang, B.D., A Trend of Advanced Proving Ground and the Proposal of the Test Bed for ADAS Vehicle. In Proceedings of Conference of the Korean Society of Automotive Engineers, 2049-2055, 2013.
  3. Cho, Y., Park, J., Park, S. and Jung, E.S., Technology Acceptance Modeling based on User Experience for Autonomous Vehicles. Journal of the Ergonomics Society of Korea, 36(2), 87-108, 2017. https://doi.org/10.5143/JESK.2017.36.2.87
  4. Eichelberger, A.H. and McCartt, A.T., Toyota drivers' experiences with dynamic radar cruise control, pre-collision system, and lanekeeping assist. Journal of Safety Research (Elsevier), 56, 67-73, 2016. https://doi.org/10.1016/j.jsr.2015.12.002
  5. EURO NCAP, TEST PROTOCOL - Lane Support Systems, 2017.
  6. Farsi, M., Ratcliff, K. and Barbosa, M., An overview of controller area network. Computing & Control Engineering Journal, 10(3), 113-120, 1999. https://doi.org/10.1049/cce:19990304
  7. Heo, P.S., A study on the Automotive ADAS Market Diffusion Factors. In Proceedings of Symposium of the Korean Institute of communications and Information Sciences, Korea Institute off Communication Sciences, 942-945, 2009.
  8. Hwang, J., Huh, K., Na, H., Jung, H., Kang, H. and Yoon, P., Development of a model based predictive controller for lane keeping assistance. SAE Technical Paper No. 2008-01-1454, 2008.
  9. ISO 11270, Intelligent Transport Systems - Lane Keeping Assistance Systems - Performance Requirements and Test Procedures, 2013.
  10. KNCAP, http://www.kncap.org/
  11. Lee, S., Kwon, W. and Lee, J.W., A vision based lane departure warning system. Intelligent Robots and Systems, 1999. IROS'99. Proceedings. 1999 IEEE/RSJ International Conference on. Vol. 1. IEEE, 1999.
  12. Lu, J., Messih, D., Salib, A. and Harmison, D., An enhancement to an electronic stability control system to include a rollover control function. No. 2007-01-0809. SAE Technical Paper, 2007.
  13. Marino, R., Scalzi, S. and Netto, M., Integrated driver and active steering control for vision-based lane keeping. European Journal of Control, 18(5), 473-484, 2012. https://doi.org/10.3166/ejc.18.473-484
  14. Mineta, K., Unoura, K. and Ikeda, T., Development of a lane mark recognition system for a lane keeping assist system. SAE Technical Paper No. 2003-01-0281, 2003.
  15. Moon, S., Moon, I. and Yi, K., Design, tuning, and evaluation of a full-range adaptive cruise control system with collision avoidance. Control Engineering Practice, 17(4), 442-455, 2009. https://doi.org/10.1016/j.conengprac.2008.09.006
  16. Mulder, M., Abbink, D.A. and Carlson, T., Introduction to the special issue on shared control: applications. Journal of Human-Robot Interaction, 4(3), 1-3, 2015. https://doi.org/10.5898/JHRI.4.3.Mulder
  17. National Highway Traffic Safety Administration. Lane departure warning system confirmation test and lane keeping support performance documentation. US Department of Transportation, 2013.
  18. Olney, R.D., Wragg, R., Schumacher, R.W. and Landau, F.H., Collision Warning System Technology, Intelligent Transport Systems World Congress, Japan, November 1995.
  19. Park, J., A Review on the Transitions of Control Authority in Advanced Driver Assistance Systems (ADAS), Journal of the Ergonomics Society of Korea, 36(6), 665-675, 2017. https://doi.org/10.5143/JESK.2017.36.6.665
  20. Rajamani, R., Lateral vehicle dynamics. In Vehicle Dynamics and Control, 15-46. Springer US, 2012.
  21. Risack, R., Mohler, N. and Enkelmann, W., A video-based lane keeping assistant. In Proceedings of IEEE Intelligent Vehicles Symposium, 356-361. Dearborn. MI: IEEE, 2000.
  22. SAE (Society of Automotive Engineers) International. On-Road Automated Driving (Orad) Committee J3016_201609 - Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles. 2016.
  23. Schmidt, C., Kalze, F.J. and Eichhorn, K., Adaptive front-lighting system in LED technology-initial steps and the future. No. 2007-01-0873. SAE Technical Paper, 2007.
  24. Schram, R., Williams, A. and van Ratingen, M., Implementation of Autonomous Emergency Braking (AEB), the next step in Euro NCAP'S safety assessment. In Proceedings of International Technical Conference on The Enhanced Safety of Vehicles, Seoul 2013.
  25. Strand, N., Nilsson, J., Karlsson, I.M. and Nilsson, L., Semi-automated versus highly automated driving in critical situations caused by automation failures. Transportation Research Part F: Traffic Psychology and Behaviour, 27(B), 218-228, 2014. https://doi.org/10.1016/j.trf.2014.04.005
  26. Tanaka, J., Ishida, S., Kawagoe, H. and Kondo, S., Workload of using a driver assistance system. In Proceedings of Intelligent Transportation Systems, 382-386. IEEE, 2000.
  27. Woo, H., Yong, B., Kim, K. and Lim, J., Road Test Scenario and Performance Assessments of Lane Keeping Assistance System for Passenger Vehicles. Transaction of the Korean Society of Automotive Engineers, 24(2), 255-263, 2016. https://doi.org/10.7467/KSAE.2016.24.2.255