The Normal Distributions Transform: A New Approach to Laser Scan Matching

IEEE International Conference on Intelligent Robots and Systems

Volumn 3, Issue , 2003, Pages 2743-2748

  Biber, Peter ^a  

^a UNIVERSITY OF TÜBINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONFORMAL MAPPING; CONVERGENCE OF NUMERICAL METHODS; ERROR ANALYSIS; LASER APPLICATIONS; NORMAL DISTRIBUTION; PIECEWISE LINEAR TECHNIQUES; PROBABILITY DENSITY FUNCTION; SCANNING; TRACKING (POSITION);

LASER SCANNING; ROBOTIC LOCALIZATIONS;

PATTERN MATCHING;

EID: 0348040296     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. P.J. Besl and N.D. McKay. A method for registration of 3d shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(2):239-256, 1992.
2. Y. Chen and G.G. Medioni. Object modeling by registration of multiple range images. Image and Vision Computing, 10(3): 145-155, 1992.
3. I.J. Cox. Blanche: An experiment in guidance and navigation of an autonomous robot vehicle. IEEE Transactions on Robotics and Automation, 7(2): 193-204, 1991.
4. J.E. Dennis and R. B. Schnabel. Numerical Methods for Unconstrained Optimization and Nonlinear Equations. SIAM Classics in Applied Mathematics, 1996.
5. J. Gutmann, W. Burghard, D. Fox, and K. Konolige. An experimental comparison of localization methods. In Proc. International Conference on Intelligent Robots and System, 1998.
6. J. Gutmann and K. Konolige. Incremental mapping of large cyclic environments. In Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), 2000.
7. J. Gutmann and C. Schlegel. Amos: Comparison of scan matching approaches for self-localization in indoor environments. In Proceedings of the 1st Euromicro Workshop on Advanced Mobile Robots. IEEE Computer Society Press, 1996.
8. J. Gutmann, T. Weigel, and B. Nebel. Fast, accurate, and robust self-localization in polygonal environments. In Robocup workshop at IJCAI-99, 1999.
9. F. Lu and E. Milios. Robot pose estimation in unknown environments by matching 2d range scans. In CVPR94, pages 935-938, 1994.
10. F. Lu and E. Milios. Globally consistent range scan alignment for environment mapping. Autonomous Robots, 4:333-349, 1997.
11. Peter Biber's homepage. www.gris.uni-tuebingen.de/̃biber.
12. Alexander Mojaev. Umgebungswahrnehmung, Selbstlokalisation und Navigation mit einem mobilen Roboter. PhD thesis, University of Tübingen, 2001.
13. Jianbo Shi and Carlo Tomasi. Good features to track. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR'94), pages 593-600, Seattle, June 1994.
14. R. Szeliski and H.Y. Shum. Creating full view panoramic image mosaics and environment map. In Computer Graphics (SIGGRAPH 97), pages 251-258, 1997.
15. S. Thrun, W. Burgard, and D.Fox. A real-time algorithm for mobile robot mapping with applications to multi-robot and 3d mapping. In Proceedings of IEEE International Conference on Robotics and Automation, 2000.
16. Sebastian Thrun, Dieter Fox, Wolfram Burgard, and Frank Dellaert. Robust monte carlo localization for mobile robots. Artificial Intelligence, 128(1-2):99-141, 2001.
17. G. Weiss and E. von Puttkamer. A map based on laserscans without geometric interpretation. In Proceedings of Intelligent Autonomous Systems 4 (IAS-4), pages 403-407, 1995.
18. Z. Zhang. Iterative point matching for registration of free-from curves and surfaces. International Journal of Computer Vision, 13(2): 119-152, 1994.