A method for following unmarked roads

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn 2005, Issue , 2005, Pages 650-655

  Ramström, Ola ^a   Christensen, Henrik ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GEOMETRY; GROUND VEHICLES; MATHEMATICAL MODELS; ROBUSTNESS (CONTROL SYSTEMS); TRACKING (POSITION);

LIGHT CONDITIONS; PROBABILISTIC GENERATIVE MODEL; SPECTRAL MODELS;

ROADS AND STREETS;

EID: 33745935403     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2005.1505177     Document Type: Conference Paper

References (18)

1. E. D. Dickmanns, "The development of machine vision for road vehicles in die last decade," Paper presented at the IEEE Intelligent Vehicle Symposium, 18-20 June, Versailles, France, 2002.
2. Http://www-2.cs.cmu.edii/afs/cs/user/tjochem/www/nhaa/nhaa_home-page. html.
3. M. Maurer, R. Behringer, S. Fursl, F. Thomanek, and E. D. Dickmanns, "A compact vision system for road vehicle guidance," in Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276. IEEE Computer Society, 1996, pp. 313-317.
4. M. Bertozzi, A. Broggi, and A. Fascioli, "Vision-based intelligent vehicles: State of the art and perspectives," Robotics and Autonomous Systems, no. 32, pp. 1-16, 2000.
5. E. D. Dickmanns and T. Christians, "Relative 3d-state estimation for autonomous visual guidance of road vehicles," Intelligent Autonomous Systems 2, An International Conference, pp. 11-14, 1989.
6. E. D. Dickmanns, "Dynamic vision for intelligent motion control," Proc. IEEE-Workshop Inlell. Motion Contr, 1990.
7. E. D. Dickmanns and B. D. Mysliwetz, "Recursive 3-d road and relative ego-stale recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 14, no. 2, pp. 199-213, 1992.
8. R. Gregor, M. Lützeler, M. Pellkofer, K.-H. Siedersberger, and E. Dickmanns, "Ems-vision: A perceptual system for autonomous vehicles," IEEE Transactions on Intelligent Transportation Systems, vol. 3. no. 1, pp. 48-59, 2002.
9. C. Thorpe, M. Hebert, T. Kanade, and S. Shafer, "Toward autonomous driving: The emu navlab. part i: Perception," IEEE Expert, vol. 6, no. 4, pp. 31 - 42, August 1991.
10. D. Pomerleau and T. Jochem, "Rapidly adapting machine vision for automated vehicle steering," IEEE Expert: Special Issue on Intelligent System and their Applications, vol. 11, no. 2, pp. 19-27, April 1996.
11. A. Broggi, M. Bertozzi, and A. Fascioli, "Architectural issues on vision-based automatic vehicle guidance: the experience of the argo project," Real-Time Imaging Journal, no. 6, pp. 313-324, 2000.
12. A. Apostoloff and A. Zelinsky, "Vision in and out of vehicles: Integrated driver and road scene monitoring," The International Journal of Robotics Research, vol. 23, no. 4-5, pp. 513-538, 2004.
13. C. Thorpe, M. Hebert, T. Kanade, and S. Shafer, "Vision and navigation for the carnegie-mellon navlab," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 10, no. 3, pp. 362 - 373, May 1988.
14. J. Crisman and C. Thorpe, "Scarf: A color vision system that tracks roads and intersections," IEEE Trans. on Robotics and Automation, vol. 9, no. 1, pp. 49 - 58, February 1993.
15. M. Sotelo, F. Rodriguez, L. Magdalena, L. Bergasa, and L. Boquete, "A color vision-based lane tracking system for autonomous driving on unmarked roads," Autonomous Robots, vol. 16, no. 1, pp. 95-116, January 2004.
16. D. Forsyth and P. Ponce, Computer Vision: A Modern Approach. Prentice Hall Professional Technical Reference, 2002.
17. M. Land and D. Lee, "Where we look when we steer," Nature, no. 369, pp. 742-744, 1994.
18. Http://www.darpa.mil/grandchallenge04/media-images.htm.