Calculating the perfect match: An efficient and accurate approach for robot self-localization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4020 LNAI, Issue , 2006, Pages 142-153

  Lauer, Martin ^a   Lange, Sascha ^a   Riedmiller, Martin ^a  

^a UNIVERSITY OF OSNABRÜCK   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EFFICIENCY; ROBOTS;

ERROR FUNCTION; ERROR TERMS; HIGH-PRECISION; NEW APPROACHES; PERFECT MATCHES; ROBOCUP; SELF-LOCALIZATION; SENSOR INTEGRATION;

UNCERTAINTY ANALYSIS;

EID: 37249048510     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11780519_13     Document Type: Conference Paper

References (11)

1. Ingemax 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.
2. Frank Dellaert, Dieter Fox, Wolfram Burgard, and Sebastian Thrun. Monte Carlo localization for mobile robots. In IEEE International Conference on Robotics and Automation (ICRA99), 1999.
3. Arnaud Doucet. On sequential simulation-based methods for Bayesian filtering. Technical Report CUED/F-INFENG/TR.310, University of Cambridge, 1998.
4. Hikari Fujii, Yusuke Ohde, Masayuki Kato, Fumitaka Otsuka, Naoka Sema, Marie Kawashima, Eisuke Sugiyama, Shuichi Niizuma, and Kazuo Yosida. EIGEN team description. In Robocup-2004, 2004.
5. Arthur Gelb, editor. Applied Optimal Estimation. Cambridge, 1974.
6. Luca Iocchi and Daniele Nardi. Self-localization in the robocup environment. In Proceedings of the 3rd Robocup Workshop, pages 116-120, 1999.
7. Artur Merke, Stefan Welker, and Martin Riedmiller. Line based robot localization under natural light conditions. In ECAI 2004 Workshop on Agents in Dynamic and Real Time Environments, 2004.
8. Martin Riedmiller and Heinrich Braun. A direct adaptive method for faster backpropagation learning: the RPROP algorithm. In Proceedings of the IEEE International Conference on Neural Networks, pages 586-591, 1993.
9. Werner Stahel. Robust alternatives to least squares. Technical Report 78, ETHZ Seminar für Statistik, 1996.
10. Hans Utz, Alexander Neubeck, Gerd Mayer, and Gerhard Kraetzmar. Improving vision-based self-localization. In Robocup-2001, 2001.
11. Felix von Hundelshausen, Michael Schreiber, Fabian Wiesel, Achim Liers, and Raul Rojeis. MATRIX: A force field pattern matching method for mobile robots. Technical Report B-09-03, FU Berlin, 2003.