Stereo obstacle detection in challenging environments: The VIAC experience

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2011, Pages 1599-1604

  Broggi, Alberto ^a   Buzzoni, Michele ^a   Felisa, Mirko ^a   Zani, Paolo ^a  

^a UNIVERSITY OF PARMA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AUTONOMOUS VEHICLES; DRIVING ASSISTANCE SYSTEMS; OBSTACLE DETECTION; OBSTACLE DETECTION SYSTEM; PROCESSING TIME; REFERENCE BENCHMARKS;

ALGORITHMS; INTELLIGENT ROBOTS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; OBSTACLE DETECTORS; ROBOTICS; STEREO VISION;

COMPUTER VISION;

EID: 84455204045     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2011.6048211     Document Type: Conference Paper

References (16)

1. A. Broggi, L. Bombini, C. Stefano, P. Cerri, and R. I. Fedriga, "Sensing requirements for a 13,000 km intercontinental autonomous drive," in Procs. IEEE Intelligent Vehicles Symposium 2010, La Jolla, CA, USA, June 2010, pp. 500-505.
2. VIAC http://viac.vislab.it.
3. H. Hirschmüller, "Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information," in Intl. Conf. on Computer Vision and Pattern Recognition, vol. 2. San Diego, CA, USA: IEEE Computer Society, June 2005, pp. 807-814.
4. S. Gehrig and C. Rabe, "Real-time semi-global matching on the cpu,"in ECVW10, 2010, pp. 85-92.
5. I. Haller, C. Pantilie, F. Oniga, and S. Nedevschi, "Real-time semiglobal dense stereo solution with improved sub-pixel accuracy," in Procs. IEEE Intelligent Vehicles Symposium 2010, San Diego, CA, USA, June 2010, pp. 369-376.
6. A. Wedel, H. Badino, C. Rabe, H. Loose, U. Franke, and D. Cremers, "B-spline modeling of road surfaces with an application to free-space estimation," Intelligent Transportation Systems, IEEE Transactions on, vol. 10, no. 4, pp. 572-583, 2009.
7. F. Devernay and O. Faugeras, "Straight lines have to be straight,"Machine Vision and Applications, vol. 13, pp. 14-24, 2001.
8. H. Hirschmüller and S. Gehrig, "Stereo matching in the presence of sub-pixel calibration errors," in Intl. Conf. on Computer Vision and Pattern Recognition, Miami, FL, USA, 2009, pp. 437-444.
9. M. Felisa and P. Zani, "Incremental Disparity Space Image computation for automotive applications," in Procs. IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, St.Louis, Missouri, USA, Oct. 2009.
10. H. Hirschmüller and I. Ernst, "Mutual information based semi-global stereo matching on the gpu." in ISVC (1) 08, 2008, pp. 228-239.
11. S. K. Gehrig, F. Eberli, and T. Meyer, "A real-time low-power stereo vision engine using semi-global matching," in Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems, ser. ICVS '09. Berlin, Heidelberg: Springer-Verlag, 2009, pp. 134-143.
12. H. Hirschmuller and D. Scharstein, "Evaluation of stereo matching costs on images with radiometric differences," PAMI, vol. 31, no. 9, pp. 1582-1599, September 2009.
13. R. I. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd ed. Cambridge University Press, ISBN: 0521540518, 2004.
14. R. Manduchi, A. Castano, A. Talukder, and L. Matthies, "Obstacle detection and terrain classification for autonomous off-road navigation,"Auton. Robots, vol. 18, no. 1, pp. 81-102, 2005.
15. S. Nedevschi, R. Danescu, R. Schmidt, and T. Graf, "High accuracy stereovision system for far distance obstacle detection," in Procs. IEEE Intelligent Vehicles Symposium 2004, Parma, Italy, June 2004.
16. P. Steingrube, S. K. Gehrig, and U. Franke, "Performance evaluation of stereo algorithms for automotive applications," in Proceedings of the 7th International Conference on Computer Vision Systems, ser. ICVS '09. Berlin, Heidelberg: Springer-Verlag, 2009, pp. 285-294.