Vision on wheels: Looking at driver, vehicle, and surround for on-road maneuver analysis

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn , Issue , 2014, Pages 185-190

  Ohn Bar, Eshed ^a   Tawari, Ashish ^a   Martin, Sujitha ^a   Trivedi, Mohan M ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

active safety; driver assistance systems; mobile vision applications; real time behavior analysis; temporal action recognition

Indexed keywords

AUTOMOBILE DRIVERS; BEHAVIORAL RESEARCH; COMPUTER VISION; MOTOR TRANSPORTATION; REAL TIME SYSTEMS; ROADS AND STREETS; VEHICLES;

ACTION RECOGNITION; ACTIVE SAFETY; DRIVER ASSISTANCE SYSTEM; MOBILE VISION; REAL TIME BEHAVIOR;

ADVANCED DRIVER ASSISTANCE SYSTEMS;

EID: 84908542261     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2014.33     Document Type: Conference Paper

References (22)

1. A. Armand, D. Filliat, and J. Ibãnez-Guzmàn. Modelling stop intersection approaches using gaussian processes. In IEEE Conf. Intelligent Transportation Systems, 2013.
2. T. Bando, K. Takenaka, S. Nagasaka, and T. Taniguchi. Automatic drive annotation via multimodal latent topic model. In IEEE Conf. Intelligent Robots and Systems, 2013.
3. S. Bonnin, T. H. Weisswange, F. Kummert, and J. Schm'udderich. Accurate behavior prediction on highways based on a systematic combination of classifiers. In IEEE Intelligent Vehicles Symposium, 2013.
4. S. Bucak, R. Jin, and A. K. Jain. Multi-label multiple kernel learning by stochastic approximation: Application to visual object recognition. In Advances in Neural Information Processing Systems, 2010.
5. C.-C. Chang and C.-J. Lin. LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2:1-27, 2011.
6. P. Dolĺar, R. Appel, S. Belongie, and P. Perona. Fast feature pyramids for object detection. IEEE Trans. Pattern Analysis and Machine Intelligence, 2014.
7. A. Doshi, B. T. Morris, and M. M. Trivedi. On-road prediction of driver's intent with multimodal sensory cues. IEEE Pervasive Computing, 10:22-34, 2011.
8. A. Doshi and M. M. Trivedi. Tactical driver behavior prediction and intent inference: A review. In IEEE Conf. Intelligent Transportation Systems, 2011.
9. S. Lefèvre, C. Laugier, and J. Ibãnez-Guzmán. Exploiting map information for driver intention estimation at road intersections. In IEEE Intelligent Vehicles Symposium, 2011.
10. M. Liebner, F. Klanner, M. Baumann, C. Ruhhammer, and C. Stiller. Velocity-based driver intent inference at urban intersections in the presence of preceding vehicles. IEEE Intelligent Transportation Systems Magazine, 2013.
11. L. P. Morency, A. Quattoni, and T. Darrell. Latent-dynamic discriminative models for continuous gesture recognition. In IEEE Conf. Computer Vision and Pattern Recognition, 2007.
12. W. G. Najm, R. Ranganathan, G. Srinivasan, J. D. Smith, S. Toma, E. Swanson, and A. Burgett. Description of lightvehicle pre-crash scenarios for safety applications based on vehicle-to-vehicle communications. Technical Report DOT HS 811 731, National Highway Traffic Safety Administration, Washington, D. C., 2013.
13. E. Ohn-Bar, S. Martin, and M. M. Trivedi. Driver hand activity analysis in naturalistic driving studies: Issues, algorithms and experimental studies. 22:1-10, 2013.
14. E. Ohn-Bar, A. Tawari, S. Martin, and M. M. Trivedi. Predicting driver maneuvers by learning holistic features. In IEEE Intelligent Vehicles Symposium, 2014.
15. E. Ohn-Bar and M. M. Trivedi. The power is in your hands: 3D analysis of hand gestures in naturalistic video. In IEEE Conf. Computer Vision and Pattern Recognition Workshops, 2013.
16. M. Ortiz, F. Kummert, and J. Schmudderich. Prediction of driver behavior on a limited sensory setting. In IEEE Conf. Intelligent Transportation Systems, 2012.
17. S. Sivaraman and M. M. Trivedi. Integrated lane and vehicle detection, localization, and tracking: A synergistic approach. IEEE Trans. Intelligent Transportation Systems, 14:906-917, 2013.
18. A. Tawari, S. Martin, and M. M. Trivedi. Continuous head movement estimator (CoHMET) for driver assistance: Issues, algorithms and on-road evaluations. IEEE Trans. Intelligent Transportation Systems, 15:818-830, 2014.
19. A. Tawari, S. Sivaraman, M. M. Trivedi, T. Shannon, and M. Tippelhofer. Looking-in and looking-out vision for urban intelligent assistance: Estimation of driver attentive state and dynamic surround for safe merging and braking. In IEEE Intelligent Vehicles Symposium, 2014.
20. C. Tran, A. Doshi, and M. M. Trivedi. Modeling and prediction of driver behavior by foot gesture analysis. Computer Vision and Image Understanding, 116:435-445, 2012.
21. X. Xiong and F. D. la Torre. Supervised descent method and its application to face alignment. In IEEE Conf. Computer Vision and Pattern Recognition, 2013.
22. C. Zhang and P. A. Viola. Multiple-instance pruning for learning efficient cascade detectors. In Advances in Neural Information Processing Systems, 2007.