Robust obstacle detection with monocular vision based on motion analysis

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2004, Pages 527-532

  Demonceaux, C ^a,b   Kachi Akkouche, D ^a  

^a EA 3299   (France)

^b Faculté de Mathématiques et d Informatique   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CAMERAS; COMPUTER VISION; IMAGE SEGMENTATION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MARKOV PROCESSES; MOTION ESTIMATION; OPTICAL FLOWS; PARAMETER ESTIMATION; STEREO VISION; WAVELET TRANSFORMS;

BAYESIAN MODELS; MONOCULAR VISION; OBSTACLE SEGMENTATION; WAVELET ANALYSIS;

OBSTACLE DETECTORS;

EID: 4544317702     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. C. Bernard. Discrete wavelet analysis: A new framework for fast optic flow computation. In Proc. Europ. Conf. Computer Vision, 1998.
2. M. Bertozzi and A. Broggi. Gold: A parallel real-time stereo vision system for generic obstacle and lane detection. IEEE Trans. Image Processing, 7(1):62-81, January 1998.
3. A. Broggi, M. Bertozzi, A. Fascioli, and M. Sechi. Shape-based pedestrian detection. In IEEE Intelligent Vehicles Symposium'00, pages 215-220, October 2000.
4. F. Heitz, P. Perez, and P. Bouthemy. Multiscale minimization of global energy functions in some visual recovery problems. CVGIP: Image Understanding, 59(1):125-134, January 1994.
5. P.W. Holland and R.E. WelschHsu. Robust regression using iteratively reweighted least-squares. Commun. Statist.-Theor. Meth., A6:813-827, 1977.
6. W. Kruger, W. Enkelmann, and S. Rossle. Real-time estimation and tracking of optical flow vectors for obstacle detection. In IEEE Intelligent Vehicles Symposium '95, pages 304-309, September 1995.
7. A. Kuehnle. Symmetry-based vehicle location for ahs. In Procs. SPIE - Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS, volume 2902, pages 19-27, November 1998.
8. R. Labayrade and D. Aubert. Robust and fast Stereovision based obstacles detection for driving safety assistance. Special Issue on Machine Vision Applications at the IEICE Japanese Journal, January 2004.
9. G. Lefaix, E. Marchand, and P. Bouthemy. Motion-based obstacle detection and tracking for car driving assistance. In Int. Conf. Pattern Recognition, volume 4, pages 74-77, August 2002.
10. M. Lutzeler and E.D. Dickmanns. Road recognition with marveye. In IEEE Intelligent Vehicles Symposium '98, pages 341-346, October 1998.
11. S.G. Mallat. A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. Pattern Anal. Machine Intell., 11(7):674-693, July 1989.
12. P. Perez, A. Chardin, and J.M. Laferte. Noniterative manipulation of discrete energy-based models for image analysis. Pattern Recognition, 33(4):573-586, April 2000.
13. T. Suzuki and T. Kauade. Measurement of vehicle motion and orientation using optical flow. In IEEE Conference on Intelligent Transportation Systems, October 1999.