Browse > Article
http://dx.doi.org/10.9728/dcs.2014.15.5.579

Driver's Behavioral Pattern in Driver Assistance System  

Jo, Doori (성균관대 인터랙션 연구원)
Shin, Donghee (성균관대학교 인터랙션사이언스학과)
Publication Information
Journal of Digital Contents Society / v.15, no.5, 2014 , pp. 579-586 More about this Journal
Abstract
This paper analyzes the recognition of driver's behavior in lane change using context-free grammar. In contrast to conventional pattern recognition techniques, context-free grammars are capable of describing features effectively that are not easily represented by finite symbols. Instead of coordinate data processing that should handle features in multiple concurrent events respectively, effective syntactic analysis was applied for patterning of symbolic sequence. The findings proposed the effective and intuitive method for drivers and researchers in driving safety field. Probabilistic parsing for the improving this research will be the future work to achieve a robust recognition.
Keywords
driver assistive system; driver behavioral pattern; context-free grammar; syntactic model; pattern recognition;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Traffic Agency, "Analysis of Traffic Accident in 2012," Government Research Center of Traffic Safety and Control, pp. 37-38, 2012.
2 Doshi, Anup, Brendan Morris, and Moham M. Trivedi. "On-road prediction of driver's intent with multim odal sensory cues." IEEE Pervasive Computing 10.3, 2011
3 R. R. Mourant and R. J. Donahue, "Mirror sampling characteristics of drivers," Society of Automotive Engineers, no. 740964, 1974.
4 L. Tijerina, W. R. Garrott, D. Stoltzfus, and E. Parmer, "Eye glance behavior of van and passenger car drivers during lane change decision phase," Transportation Research Record, vol. 1937, pp. 37-3, 2005.   DOI
5 Morris, Brendan, Anup Doshi, and Mohan Trivedi. "Lane change intent prediction for driver assistance: On-road design and evaluation." Intelligent Vehicles Symposium (IV), 2011 IEEE. IEEE, 2011.
6 S. E. Lee, C. B. Olsen, and W. W. Wierwille, "A comp rehensive examination of naturalistic lane changes," Report DOT HS 809702, NHTSA, U.S. Department of Transportation, March 2004.
7 N. Oliver and A. P. Pentland, "Graphical models for driver behavior recognition in a smartcar," IEEE Proceedings of Symposium on Intelligent Vehicles, 2000.
8 H. Berndt, J. Emmert, and K. Dietmayer, "Continuou s driver intention recognition with hidden markov models," in Proc. IEEE Conf. Intell. Transport. Syst., Oct. 2008.
9 N. Kuge, T. Yamamura, O. Shimoyama, and A. Liu, "A driver behavior recognition method based on a driver model framework," Proceedings of the Society of Automotive Engineers World Congress, 2000.
10 J. C. McCall, D. Wipf, M. M. Trivedi, and B. Rao, "Lane change intent analysis using robust operators and sparse bayesian learning," IEEE Trans. Intell. Transp. Syst., vol. 8, no. 3, pp. 431-440, Sep. 2007.   DOI   ScienceOn
11 A. Doshi and M. M. Trivedi, "On the roles of eye gaze and head pose in predicting driver's intent to change lanes," IEEE Trans. Intell. Transp. Syst., vol. 10, no. 3, pp. 453-462, Sep. 2009.   DOI   ScienceOn
12 S. Y. Cheng and M. M. Trivedi, "Turn-intent analy sis using body pose for intelligent driver assistance," IEEE Pervasive Computing, vol. 5, no. 4, pp. 28- 7, pecial Issue on Intelligent Transportation Systems, 2006.   DOI   ScienceOn
13 Ivanov, Yuri A., and Aaron F. Bobick. "Recognition of visual activities and interactions by stochastic parsing." Pattern Analysis and Machine Intelligence, IEEE Transactions on 22.8, 2000.
14 Joo, Seong-Wook, and Rama Chellappa. "Recognitio n of multi-object events using attribute grammars." Image Processing, IEEE International Conference on. IEEE, 2006.
15 Vogler, Christian, and Dimitris Metaxas. "A frame work for recognizing the simultaneous aspects of american sign language." Computer Vision and Image Understanding 81.3 2001.
16 Bremond, F., and Medioni, G. 1998. Scenario recognition in airborne video imagery. In DARPA Image Understanding Workshop 1998.
17 Moore, D.; Essa, I.; and Hayes, M. 1999b. Exploiting human actions and object context for recognition tasks. In ICCV'99, 80-86, 1999
18 Taylor, R. G., "Models of Computation and Formal Languages", Oxford University Press., 1998.