Vehicle recognition and tracking using a generic multi-sensor and multi-algorithm fusion approach

Article English OPEN
Nashashibi , Fawzi; Khammari , Ayoub; Laurgeau , Claude;
  • Publisher: Inderscience
  • Subject: Image processing | [ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering | [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing | Multi-sensor fusion | [ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR] | [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing | Laser | [ SPI.AUTO ] Engineering Sciences [physics]/Automatic | Belief theory | ADAS | object tracking | [ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO] | vehice detection

International audience; This paper tackles the problem of improving the robustness of vehicle detection for Adaptive Cruise Control (ACC) applications. Our approach is based on a multisensor and a multialgorithms data fusion for vehicle detection and recognition. Our ar... View more
  • References (36)
    36 references, page 1 of 4

    Abramson, Y. and Steux, B. (2004) 'Hardware-friendly detection of pedestrians from an on-board camera', IEEE Intelligent Vehicles Symposium, Parma, Italy, June.

    Abramson, Y. and Freund, Y. (2005) 'Semi-automatic visual learning (SEVILLE): tutorial on active learning for visual object recognition', Computer Vision and Pattern Recognition CVPR'05, San-Diego, California, 5 June.

    Ammoun, S., Abuhadrous, I., Nashashibi, F., Laurgeau, C. and Goulette, F. (2004) 'Modélisation 3D d'environnements urbains et routiers numérisés par télémétrie laser embarqué', Proceedings of the 9th International rendez-vous for 3D digitisation and modelling professionals, Paris, France, April, pp.28-29 (in French).

    Arulampalam, S., Maskell, S., Gordon, N. and Clapp, T. (2002) 'A tutorial on particle filters for online non-linear/non-gaussian bayesian tracking', IEEE Transactions on Signal Processing, Vol. 50, No. 2, pp.174-188.

    Avidan, S. (2001) 'Support vector tracking', Computer Vision and Pattern Recognition CVPR'01, December.

    Avidan, S. (2003) 'Subset selection for efficient SVM tracking', International Conference Computer Vision and Pattern Recognition, June.

    Baltzakis, H., Argyros, A. and Trahanias, P. (2003) 'Fusion of laser and visual data for robot motion planning and collision avoidance', MVA (15) Journal, No. 2, pp.92-100.

    Delmotte, F. and Smets, P. (2004) 'Target identification based on the transferable belief model interpretation of Dempster-Shafer model', IEEE Transactions on Systems, Man and Cybernetics, Vol. 34, pp.457-471.

    Dubois, D. and Prade, H. (2000) 'Possibility theory in information fusion', Proceedings of the 3rd International Conference on Information Fusion, Vol. 1, July, pp.6-19.

    Fang, Y., Masaki, I. and Horn, B. (2001) 'Distance range based segmentation in intelligent transportation systems: fusion of radar and binocular stereo', Proceedings of the IEEE Intelligent Vehicles Symposium, Tokyo, Japan, June.

  • Metrics
Share - Bookmark