DOI QR코드

DOI QR Code

운전자 맞춤형 첨단 운전자 보조 시스템 기술 동향

Trends on Personalization in Advanced Driver Assistance Systems

  • 김도현 (주력산업 IT 융합연구그룹) ;
  • 장병태 (주력산업 IT 융합연구그룹) ;
  • 신성웅 (지능로보틱스연구본부)
  • 발행 : 2018.08.01

초록

Driver-specific technology in the automotive field has been commercialized for vehicle accessories, driver memory sheets, and side mirrors. In recent years, the demand for customized technology has expanded to include the user interface of an infotainment system (Infotainment System) and advanced driver support system (Advanced Driver Assistance System), and customized technologies for drivers have been studied. Therefore, this article describes the driver-tailored technology trends being studied in these fields, and examines the major research issues related to future driver-tailored technologies in the automotive field.

키워드

과제정보

연구 과제번호 : 주력산업 고도화를 위한 지능형 상황인지 기반 기술 개발

연구 과제 주관 기관 : 한국전자통신연구원

참고문헌

  1. J. Letchner, J. Krumm, and E. Horvitz, "Trip Router with Individualized Preferences (Trip): Incorporating Personalization into Route Planning," in Proc. National Conf. Artif. Intell., Boston, MA, USA, July 16-20, 2006, pp. 1795-1800.
  2. J. Dai, B. Yang, C. Guox, and Z. Ding, "Personalized Route Recommendation using Big Trajectory Data," IEEE 31st Int. Conf. Data Eng. (ICDE), Seoul, Rep. of Korea, Apr. 13-17, 2015, pp. 543-554.
  3. S.R. Garzon, "Situation-Aware Personalization of Automotive User Interfaces," in Adjunct Proc. Int. Conf. Autom. User Interfaces Interactive Veh. Applicat., Portsmouth, NH, USA, Oct. 17-19, 2012, pp. 15-16..
  4. J.I. Arnason, J. Jepsen, A. Koudal, M.R. Schmidt, and S. Serafin, "Volvo Intelligent News: A Context Aware Multi Modal Proactive Recommender System for In-vehicle Use," Pervasive Mobile Comput., vol. 14, Oct. 2014, pp. 95-111. https://doi.org/10.1016/j.pmcj.2014.06.005
  5. B.A. Harsham et al., "Driver Prediction to Improve Interaction with In-vehicle HMI," in Workshop on DSP for In-Vehicle Systems and Safety, Oct. 2015. [Online]. Available: http://www.merl.com/publications/TR2015-120.
  6. A. Rosenfeld, Z. Bareket, C. V. Goldman, D. J. LeBlanc, and O. Tsimhoni, "Learning Drivers' Behavior to Improve Daptive Cruise Control," J. Intell. Transportation. Syst., vol. 19, no. 1, 2015, pp. 18-31. https://doi.org/10.1080/15472450.2014.889960
  7. M. Canale, S. Malan, and V. Murdocco, "Personalization of ACC Stop and Go Task Based on Human Driver Behaviour Analysis," IFAC Proc. vol. 35, no. 1, 2002, pp. 357-362.
  8. G.N. Bifulco, F. Simonelli, and R. Di Pace, "Experiments Toward an Human-Like Adaptive Cruise Control," in IEEE Intell. Veh. Symp., Eindhoven, Netherlands, June 4-6, 2008, pp. 919-924.
  9. G. N. Bifulco, L. Pariota, F. Simonelli, and R. Di Pace, "Development and Testing of a Fully Adaptive Cruise Control System," Trans. Res. Part C: Emerging Technol., vol. 29, Apr. 2013, pp. 156-170. https://doi.org/10.1016/j.trc.2011.07.001
  10. S. O. Haykin, Adaptive Filter Theory, 5th ed. Pearson, 2014, ch. 10.
  11. S. Lefevre, A. Carvalho, Y. Gao, H.E. Tseng, and F. Borrelli, "Driver Models for Personalised Driving Assistance," Veh. Syst. Dynamics, vol. 53, no. 12, 2015, pp. 1705-1720. https://doi.org/10.1080/00423114.2015.1062899
  12. S. Lefevre, A. Carvalho, and F. Borrelli, "A Learning-Based Framework for Velocity Control in Autonomous Driving," IEEE Trans. Autom. Sci. Eng., vol. 13, no. 1, 2016, pp. 32-42. https://doi.org/10.1109/TASE.2015.2498192
  13. E.F. Camacho and C.B. Alba, Model Predictive Control, Springer Science & Business Media, 2013.
  14. J. Wang, L. Zhang, D. Zhang, and K. Li, "An Adaptive Longitudinal Driving Assistance System Based on Driver Characteristics," IEEE Trans. Intell. Trans. Syst., vol. 14, no. 1, Mar. 2013, pp. 1-12. https://doi.org/10.1109/TITS.2012.2205143
  15. F. Muehlfeld, I. Doric, R. Ertlmeier, and T. Brandmeier, "Statistical Behavior Modeling for Driver-Adaptive Precrash Systems," IEEE Trans. Intell. Transp. Syst., vol. 14, no. 4, 2013, pp. 1764-1772. https://doi.org/10.1109/TITS.2013.2267799
  16. J.P. Feraric, M. Kopf, and R. Onken, "Statistical Versus Neural Net Approach for Driver Behavior Description and Adaptive Warning," in Proc. Eur. Annu. Conf. Human Decision Making Manual Contr., 1992.
  17. R. Onken and J. P. Feraric, "Adaptation to the Driver as Part of a Driver Monitoring and Warning System," Accident Anal. Prevention, vol. 29, no. 4, 1997, pp. 507-513. https://doi.org/10.1016/S0001-4575(97)00030-4
  18. J. Wang, C. Yu, S. E. Li, and L. Wang, "A Forward Collision Warning Algorithm with Adaptation to Driver Behaviors," IEEE Trans. Intell. Transp. Syst., vol. 17, no. 4, Apr. 2016, pp. 1157-1167. https://doi.org/10.1109/TITS.2015.2499838
  19. V. Butakov and P. Ioannou, "Personalized Driver/Vehicle Lane Change Models for ADAS," IEEE Trans. Veh. Technol., vol. 64, no. 10, Oct. 2015, pp. 4422-4431. https://doi.org/10.1109/TVT.2014.2369522
  20. S. Scherer, A. Dettmann, F. Hartwich, T. Pech, A.C. Bullinger, J.F. Krems, and G. Wanielik, "How the Driver Wants to be Driven - Modelling Driving Styles in Highly Automated Driving," in Automatisiertes Fahren - Hype oder mehr?, Tagungsband 7. Tagung Fahrerassistenz, vol. 7, 2015, pp. 2015-2026.
  21. F. Hartwich, M. Beggiato, A. Dettmann, and J. Krems, "Drive me Comfortable. Customized Automated Driving Styles for Younger and Older Drivers," in 8. VDI-Tagung Der Fahrer im 21. Jahrhundert. VDI-Verlag, 2015, pp. 271-283.
  22. N.M. Yusof, J. Karjanto, J. Terken, F. Delbressine, M. Z. Hassan, and M. Rauterberg, "The Exploration of Autonomous Vehicle Driving Styles: Preferred Longitudinal, Lateral, and Vertical Accelerations," in Proc. Int. Conf. Autom. User Interfaces Interactive Veh. Applicat. (Automotive'UI 16), Ann Arbor, MI, USA, Oct. 24-26, 2016, pp. 245-252.
  23. C. Basu, Q. Yang, D. Hungerman, M. Singhal, and A. D. Dragan, "Do You Want Your Autonomous Car to Drive Like You?" in Proc. ACM/IEEE Int. Conf. Human-Robot Interaction, Vienna, Austria, Mar. 6-9, 2017, pp. 417-425.
  24. M. Stärk, D. Backes, and C. Kehl, "A Supervised Learning Concept for Reducing User Interaction in Passenger Cars," Submitted on 13 Nov 2017.
  25. N. AbuAli and H. Abou-zeid, "Driver Behavior Modeling: Developments and Future Directions," Int. J. Veh. Technol., vol. 2016, 2016, pp. 6952791:1-6952791:10.