A novel multi-lane detection and tracking system

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2012, Pages 1084-1089

  Zhao, Kun ^a   Meuter, Mirko ^b   Nunn, Christian ^b   Müller, Dennis ^b   Müller Schneiders, Stefan ^b   Pauli, Josef ^a  

^a UNIVERSITY OF DUISBURG ESSEN   (Germany)

^b Delphi Electronics and Safety   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ASSISTANCE SYSTEM; CONSTRUCTION SITES; DETECTION AND TRACKING; LANE CHANGE; LANE DETECTION; LANE KEEPING; LANE MARKINGS; LANE-DEPARTURE-WARNING SYSTEMS; NUMBER OF LANES; QUANTITATIVE EVALUATION; REAL TIME; SUPPORT SYSTEMS; SYSTEM ROBUSTNESS; TEST VEHICLE; VIDEO SEQUENCES;

IMAGE RESOLUTION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS;

TRACKING (POSITION);

EID: 84865013154     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2012.6232168     Document Type: Conference Paper

References (21)

1. A. Borkar, M. Hayes, M. T. Smith, and S. Pankanti, "A layered approach to robust lane detection at night," in Computational Intelligence in Vehicle and Vehicluar Systems, 2009.
2. J. C. McCall and M. M. Trivedi, "Video-based lane estimation and tracking for driver assistance: Survey, system, and evaluation," IEEE Transactions on Intelligent Transportation Systems, vol. 7, no. 1, pp. 20-37, March 2006.
3. C. Lipski, B. Scholz, K. Berger, C. Linz, T. Stich, and M. Magnor, "A fast and robust approach to lane marking detection and lane tracking," in Proceedings of the 2008 IEEE Southwest Symposium on Image Analysis and Interpretation, 2008.
4. S. Lee and W. Kwon, "Robust lane keeping from novel sensor fusion," in Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001.
5. M. Meuter, S. Müller-Schneiders, A. Mika, S. Hold, C. Nunn, and A. Kummert, "A novel approach to lane detection and tracking," in 12th International IEEE Conference on Intelligent Transportation Systems, 2009, pp. 1-6.
6. W. Liu, H. Zhang, B. Duan, H. Yuan, and H. Zhao, "Vision-based real-time lane marking detection and tracking," in Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008.
7. Q. Li, N. Zheng, and H. Cheng, "Springrobot: A prototype autonomous vehicle and its algorithms for lane detection." IEE Transactions on Intelligent Transportation Systems, vol. 5, pp. 300-308, 2004.
8. S. Zhou, Y. Jiang, J. Xi, J. Gong, G. Xiong, and H. Chen, "A novel lane detection based on geometrical model and gabor filter," in IEEE Intelligent Vehicles Symposium, 2010.
9. M. Nieto, L. Salgado, F. Jaureguizar, and J. Arrospide, "Robust multiple lane road modeling based on perspective analysis," in 15th IEEE International Conference on Image Processing, 2008, pp. 2396-2399.
10. Richtlinien fuer die Markierung von Strassen RMS, Forschungsgesellschaft fuer das Strassenwesen Std., 1980.
11. S. Nedevschi, R. Schmidt, T. Graf, R. Danescu, D. Frentiu, T. Marita, F. Oniga, and C. Pocol, "3d lane detection system based on stereovision," in 2004 IEEE Intelligent Transportation Systems Conferences, 2004.
12. B. Southall and C. Taylor, "Stochastic road shape estimation," in Proceedings Eighth IEEE International Conference on Computer Vision, 2001.
13. Y. Wang, D. Shen, and E. K. Teoh, "Lane detection using catmull-rom spline," in 1998 IEEE International Conference on Intelligent Vehicles, 1998, pp. 51-57.
14. Y. Wang, E. K. Teoh, and D. Shen, "Lane detection and tracking using b-snake," Image and Vision Computing, vol. 22, pp. 269-280, 2004.
15. Z. Kim, "Robust lane detection and tracking in challenging scenarios," IEEE Transactions on Intelligent Transportation Systems, vol. 9, pp. 16-26, 2008.
16. A. Eidehall, F., and Gustafsson, "Combined road prediction and target tracking in collision avoidance," in 2004 IEEE Intelligent Vehicles Symposium, 14 - 17 June 2004, pp. 619-624.
17. D. D. Hearn and M. P. Baker, Computer Graphics with OpenGL. Prentice Hall, 2004.
18. V. Lepetit and P. Fua, "Monocular model-based 3d tracking of rigid objects: A survey," Foundations and Trends in Computer Graphics and Vision, vol. 1, pp. 1-89, 2005.
19. Y. Bar-Shalom and X.-R. Li, Multitarget-Multisensor Tracking: Principles and Techniques, Y. Bar-Shalom, Ed. Yaakov Bar-Shalom, 1995.
20. A. Jain, M.N.Murty, and P.J.Flynn, "Data clustering: A review," ACM Computing Surveys, vol. 31, pp. 264-323, 1999.
21. K. Smith, D. Gatica-Perez, J. Odobez, and S. Ba, "Evluating multi-object tracking," in Procedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005.