Range determination for mobile robots using one omnidirectional camera

ICINCO 2006 - 3rd International Conference on Informatics in Control, Automation and Robotics, Proceedings

Volumn RA, Issue , 2006, Pages 366-371

  Millnert, Ola ^a   Goedemé, Toon ^a   Tuytelaars, Tinne ^a   Van Gool, Luc ^a   Hüntemann, Alexander ^a   Nuttin, Marnix ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Obstacle detection; Omnidirectional cameras; Range determination; Robot navigation

Indexed keywords

3-D SPACE; ABSOLUTE DISTANCE; ARTIFICIAL MARKERS; CAMERA SYSTEMS; DISTANCE DETERMINATION; GROUND PLANES; OBSTACLE DETECTION; OMNIDIRECTIONAL CAMERAS; ROBOT NAVIGATION; SCALE FACTOR;

INFORMATION SCIENCE; MOBILE ROBOTS; NAVIGATION; NAVIGATION SYSTEMS; OBSTACLE DETECTORS; ROBOTICS; THREE DIMENSIONAL; VIDEO CAMERAS;

CAMERAS;

EID: 77954052857     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. T. Goedemé, M. Nuttin, T. Tuytelaars, L. Van Gool 2005 Omnidirectional Vision based Topological Navigation 15th International Symposium on Measurement and Control in Robotics, ISMCR 2005, 2005.
2. A. Nüchter, K. Lingeman, J. Hertzberg and H. Surmann 2005 Heuristic-based laser scanner matching for out-door 6D SLAM Advances in artificial intelligence. 28th German Conf. on AI, Sept. 2005.
3. Julian Ryde and Huosheng Hu 2006 Mutual Localization and 3D Mapping by Cooperative Mobile Robots IAS-9, The University of Tokyo, Tokyo, Japan, 2006.
4. R.A Jarvis 1983 A perspective on Range Finding Techniques for Computer Vision. IEEE Transaction on pattern analysis and machine intelligence, VOL. PAMI-5, No. 2, March 1983.
5. T. Svoboda 1999 Central Panoramic Cameras Design, Geometry, Egomotion. Ph.D. disseration, Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering of Czech University.
6. R. Hartley 1992 Estimation of relative camera positions for uncalibrated cameras. 2nd ECC, May 1992, pp. 579-587, Springer-Verlag, LNCS 588.
7. J.S Chahl and M.V Srinivasan (1997). Range estimation with a panoramic visual sensor. In J. Opt. Soc. Am/A Vol.14 No. 9 2144, Sept 1997.
8. J. Zhang and K. Huebner 2002 Using symmetry as a feature in panoramic images for mobile robot applications. In VDI-Berichte 1679, GMA-Robotik 2002, Ludwigsburg 2002.
9. R. Hartley and A. Zisserman 2000 Multiple View Geometry in Computer Vision. Cambridge University Press, 2000.
10. C. Mei 2006 http://www-sop.inria.fr/icare/../personnel/Christopher.Mei/ index.html cited 2006/12/10.
11. J. Shi and C. Tomasi Good Features to Track CVPR, Seattle, pp. 593-600, 1994.
12. Kalman R.E. A new approach to linear filtering and prediction problems, Transaction of the ASME - Journal of Basic Enginnering, pp. 35-45, March 1960.