한국지능시스템학회논문지 (Journal of the Korean Institute of Intelligent Systems)

  • 제20권3호
  • /
  • Pages.400-405
  • /
  • 2010
  • /
  • 1976-9172(pISSN)
  • /
  • 2288-2324(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
권호 표지
DOI QR코드

DOI QR Code

차량용 지능형 Head-Up Display의 적용 실험

Implement of Intelligent Head-Up Display for Vehicle

  • 손희배 (경남대학교 정보통신공학과) ;
  • 반형진 (덴소풍성전자(주)) ;
  • 양권 (덴소풍성전자(주)) ;
  • 이영철 (경남대학교 정보통신공학과)
  • 투고 : 2000.05.01
  • 심사 : 2000.11.01
  • 발행 : 2010.06.25
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 논문은 차량 안전시스템을 위한 지능형 HUD 시스템의 특성을 고찰하였다. HUD 시스템은 차량에서 향상된 운전자 정보전달과 새로운 지능형 교통시스템을 제공한다. 자동차의 속도, 거리표시, 엔진 RPM, 내비게이션, 엔진 온도, 연료 게이지, 방향지시등, 경고 표시등에 대한 기본적인 정보를 운전자에게 전달한다. 본 논문에서 설계한 지능형 HUD 시스템은 TFT LCD, LCD 백라이트 LED, 평면 미러, 특수 제작된 렌즈 및 구동회로로 구성되었다. 본 논문은 운전자 안전성을 고려한 차량용 지능형 HUD 시스템을 제작, 분석하였다.

This paper deals with implementation of intelligent head up display for vehicle safety system. The Implanted new intelligent transport system offer the potential for improved vehicle to driver communication. The most commonly viewed information in a vehicle is from the Head up display, where speed, tachometer, engine RPM, navigation, engine temperature, fuel gauge, turn indicators and warning lights provide the driver with an array of fundamental information. TFT LCD, LCD Back light led, plane mirror, lens and controllers parts were designed to head up display system. Finally, In this paper, we analyze intelligent head up display system for vehicle of driver safety.

키워드

참고문헌

  1. NHTSA National Center for Statistics and Analysis, Traffic Safety: U.S. Dept. Transp., Nat. Highway Traffic Safety Admin.
  2. Doshi, A; Shinko Yuanhsien Cheng; Trivedi, M.M; "A Novel Active Heads-Up Display for Driver Assistance", Systems, Man, and Cybernetics, Part B: Cyberneics, IEEE Transactions on Volume: 39 ,Issue:1, 2009, Page(s): 85-93. https://doi.org/10.1109/TSMCB.2008.923527
  3. S. Nakajima, S. Ino, K. Yamashita, M Sato, A. Kimura, "Proposal of Reduction Method of Mixed Reality Sickness using Auditory Stimuli for Advanced Driver Assistance Systems", Industrial Tech, 2009. IEEE Intermational Conf, 2009, Page(s):1-5
  4. L. Angell, H. Auflick, P. Austria, D. Kochhar, L.Tijerina, W. Biever, T. Diptiman, J. Hodgsett, and S. Kiger, "Driver workload metrics project: Task 2 final report," U.S. Dept. Transp., NHTSA, Washington, D.C., Tech. Rep. DOT HS 810 635, nOV. 2006.
  5. K. Takemura, J. Ido, Y.Matsumoto, and T. Ogasawara, "Drive monitoring system based on non-contact measurement system of driver's focus of visual attention,' in Proc. IEEE Intell. VEH. Symp., Jun. 2003, pp. 581-586".
  6. L. Petersson, L. Fletcher, and A. Zelinsky, "A framework for driver in the loop driver assistance systems, " in Proc.IEEE Intell. Transp. Syst., Sep 2005, pp.771-776.
  7. S. Y. Cheng and M. M. Trivedi, "Turn intent analysis using bodypose for intelligent driver assistance," Pervasive Comput., vol. 5, no. 4, pp. 28-37, oct.-Dec. 2006 https://doi.org/10.1109/MPRV.2006.88
  8. A. Doshi and M. M. Trivedi, "A comparative exploration of eye gaze and head motion cues for lane change intent predicction," in proc. IEEE Intell. Veh. Symp., 2008
  9. J. McCall and M. M. Trivedi, "Driver behavior and siuation aware brake assistance for intelligent vehicles," Proc. IEEE, vol. 95, no.2, pp. 374-387, Feb. 2007. https://doi.org/10.1109/JPROC.2006.888388
  10. M. M. Trivedi, T. Gandhi, and J. McCall, "Looking in and looking out of a vehicle: Computer vision based enhanced vehicle safety," IEEE Trans. Intell. Transp. Syst., vol. 8, no. 1, pp. 108-120, Mar. 2007. https://doi.org/10.1109/TITS.2006.889442
  11. Y. -C. Liu and M. -H. Wen, " Comparison of head-up display(HUD) vs. head-down display(HDD): driving performance of commercial vehicle operators in Taiwan," Int. J. of Human-Computer Studies, vol. 61, no. 5, pp. 679-697, 2004. https://doi.org/10.1016/j.ijhcs.2004.06.002
  12. Development of Human Factors Guidelines for Advanced Traveler Information Systems and Commercial Vehicle Operations Components of the Intelligent Transportation Systems: Identification of Stengths and Weaknesses of Alternative Information Display Formats, Publication No. FHWA-RD-96-142, Federal Highway Administration, Washington, DC.
  13. Y. Suzuki, S. Ino and N. Onda, "A guideline for the design of a mixed reality environment based on physiological and psychophysical measurements", Mixed Reality Systems Laboratory Inc., 2001.
  14. S. Nakajima, S. Ino, and T. Ifukube, "A preliminary study of MR sickness evaluation using visual motion aftereffect for advanced driver assistance systems," Proceedings of the 29th International Conference of the IEEE EMBS 2007, pp. 3044-3047, 2007.
  15. Z. Wang, B. Chen, H. H. Cheng, B. D. Shaw and J. Palen, ""Performance analysis for design of a high-precision electronic opto-mechanical system for vehicle delineation detection on the highway,"" ASME J. Mech. Des., vol. 125, no. 4, pp. 802-808, Dec. 2003. https://doi.org/10.1115/1.1625401
  16. W. G. Najm, Jr. M. Mironer, J. S. Wang and R. R. Knipling, Synthesis Report: Examination of Target Vehicular Crashes and Potential ITS Countermeasures. DOT HS 808 263, NHTSA, U.S. Dept. of Transportation, 1995.
  17. V. Leinonen, M. Kankaanp, H. Vanharanta, O. Airaksinen and O. Hanninen, "Back and Neck Extensor Loading and Back Pain Provocation in Urban Bus Drivers with and without Low Back Pain," Pathophysiology, Vol.12, pp.249-255, 2005. https://doi.org/10.1016/j.pathophys.2005.09.004
  18. P. Bouchner, S. Novotn and M. Hajn, "Analysis of Technical and Biological Outputs from Simulated Driving, Focused on Driver's Fatigue Detection," Proceeding of Driving Simulation Conference Asia/Pacific. Tsukuba: National Institute of Advanced Industrial Science and Technology (AIST), pp.176-188, 2006.