Rule-based tracking of multiple lanes using particle filters

IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems

Volumn , Issue , 2006, Pages 203-208

  Vacek, Stefan ^a   Bergmann, Stephan ^b   Mohr, Ulrich ^b   Dillmann, Rüdiger ^a  

^a UNIVERSITY OF KARLSRUHE   (Germany)

^b Harman/Becker Automotive Systems   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

PARTICLE FILTERS; RULE-BASED TRACKING;

ASSOCIATION RULES; COMPUTER SIMULATION; FINITE AUTOMATA; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; PARAMETER ESTIMATION;

DIGITAL FILTERS;

EID: 40949161068     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MFI.2006.265649     Document Type: Conference Paper

References (11)

1. Nicholas Apostoloff. Vision-based lane tracking using multiple cues and particle filtering. PhD thesis, Australian National University, 2005.
2. M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp. A tutorial on particle filters for online nolinear/non-gaussian bayesian tracking, 2002.
3. Romuald Aufrere, Roland Chapuis, and Frederic Chausse. A fast and robust vision based road following algorithm. In Proc. of the IEEE Intelligent Vehicles Symposium (IV'00), volume IV, pages 192-197, 2000.
4. Massimo Bertozzi, Alberto Broggi, Massimo Cellario, Alessandra Faschioli, Paolo Lombardi, and Marco Porta. Artificial vision in road vehicles, 2002.
5. Nando de Freitas. A tutorial and exercices on particle filters for finite mixture models with an unknown number of components, 2001.
6. E. D. Dickmanns and V. Graefe. Dynamic monocular machine vision and applications of dynamic monocular vision. International Journal of Machine Vision and Applications, 1:223-240 and 241-261, 1988.
7. E. D. Dickmanns and B. D. Mysliwetz. Recursive 3-d road and relative ego-state recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 1992.
8. Juan Pable Gonzales and Ümit Özgüner. Lane detection using histogram-based segmentation and decision trees. In Proc. of the IEEE Intelligent Transportation Systems Conference, pages 346-351, 2000.
9. Michael Isard and Andrew Blake. Condensation - conditional density propagation for visual tracking. International Journal of Computer Vision, 29(1):5-28, 1998.
10. Raphael Labayrade, Sio Song Ieng, and Didier Aubert. A reliable road lane detector approach combining two vision-based algorithms. In Proc. of the IEEE Intelligent Transportation Systems Conference, pages 149-154, Washington, DC, USA, October 2004 2004.
11. R. Wang, Y. Xu, Libin, and Y. Zhao. A vision-based road edge detection algorithm. In Proc. of the IEEE Intelligent Vehicles Symposium (IV'02), June 2002.