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A Study on the Evaluation Method of ACC Test Using Monocular Camera

단안카메라를 활용한 ACC 시험평가 방법에 관한 연구

  • 김봉주 (계명대학교 기계공학과) ;
  • 이선봉 (계명대학교 기계자동차공학부)
  • Received : 2020.06.02
  • Accepted : 2020.09.07
  • Published : 2020.09.30

Abstract

Currently, the second level of the six stages of self-driving technology, as defined by SAE, is commercialized, and the third level is preparing for commercialization. The purpose of ACC is to be evaluated as a system useful for preventing and preventing accidents by minimizing driver fatigue through longitudinal speed control and relative distance control of the vehicle. In this regard, for the study of safety assessment methods in the practical environment of ACC. Distance measurement method using monocular camera and data acquisition equipment such as DGPS are utilized. Based on the evaluation scenario considering the domestic road environment proposed by the preceding study, the relative distance obtained from equipment such as DPGS and the relative distance using a monocular camera in the actual test is verified by comparing and analyzing the safety assessment. The comparison by scenario results showed a minimum error rate of 3.83% in Scenario 1 and a maximum of 14.61% in Scenario 6. The cause of the maximum error is that the lane recognition is not accurate in the camera image and irregular operation conditions such as rushing in or exiting the surrounding area from the walkway. It is expected that safety evaluation using a monocular camera will be possible for other ADAS systems in the future.

Keywords

References

  1. SAE J3016, Levels of driving automation.
  2. P. Venhovens, K. Noab, and B. Adiprasito, 2000, "Stop&Go Cruise Control", Proceedings of FISITA World Automotive Congress, pp. 61-69, Seoul.
  3. B. J. Kim and S. B. Lee, 2017, "A Study on Evaluation Method of the Adaptive Cruise Control", Drive Control, Vol. 14, No. 3, pp. 8-17.
  4. B. J. Kim and S. B. Lee, 2017, "A Study on Evaluation Method of ACC Test Considering Demestic Road Environment", Journal of Korean Auto-Vehicle Safety Association, Vol. 9, No. 4, pp. 38-47.
  5. S. H. Son, C. H. Jeong, J. W. Park, and S. J. Choi, 2009, "Development of Simulation Environment for Evaluating Safety of the Adaptive Cruise Control System", International Journal of Automotive Technology, Annual Conference, pp. 1980-1985.
  6. Y. J. Moon and Y. K. Park, 2002, "Development of Test Evaluation Program for Advanced Vehicle Safety Evaluation", J. of KSME, pp. 116-120.
  7. K. H. Yoon and J. W. Lee, 2002, "A Study of Test Methods and Procedures for the ACC and FVCWS", J. of KSME, pp. 109-115.
  8. H. S. Kang, N. H. Lee, and J. M. Lee, 2017, "Distance measurement algorithm based on object recognition", The Institute of Electronics and Information Engineers, pp. 721-724.
  9. T. G. Woo, J. K. Park, and J. T. Kim, 2016, "Experiment of Distance Measurement based on Visible Light using Cellphone Camera", The Institute of Electronics and Information Engineers, pp. 1364-1366.
  10. C. S. Park, 2016, "Distance Measurement Apparatus and Method Enabling Correction of Distance Error Induced by Target Brightness", Journal of Korean Institute of Information Technology Vol. 14, No. 5, pp. 9-15. https://doi.org/10.14801/jkiit.2016.14.5.9
  11. G. H. Bae and S. B. Lee, 2019, "A Study on Calculation Method of Distance with Forward Vehicle Using Single-Camera", Journal of Korea Institute Of Communication Sciences, pp. 256-257.
  12. S. Eisele, M. Yamaura, N. Arechiga, S. Shiraishi, J. Hite, J. Scott, S. Neema, and T. Bapty, 2016, "ADAS Virtual Prototyping with the OpenMETA Toolchain", SAE Intnational J. Passeng. Cars - Electron. Electr. Syst, Vol. 9, No. 1, pp. 22-29. https://doi.org/10.4271/2016-01-0002
  13. J. Zhou, R. Schmied, A. Sandalek, H. Kokal, and L. D. Re, 2016, "A Framework for Virtual Testing of ADAS", SAE Intnational J. Passeng. Cars - Electron. Electr. Syst, Vol. 9, No. 1, pp. 66-73. https://doi.org/10.4271/2016-01-0049