Fast grid-based position tracking for mobile robots

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

Volumn 1303, Issue , 1997, Pages 289-300

  Burgard, Wolfram ^a   Fox, Dieter ^a   Hennig, Daniel ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; MOBILE ROBOTS;

ABSOLUTE POSITION; ENVIRONMENTAL MODEL; MOBILE ROBOTIC; NOISY SENSORS; POSITION PROBABILITY GRIDS; ROBUST TECHNIQUE; SENSOR NOISE; SENSOR READINGS;

TRACKING (POSITION);

EID: 21744459247     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3540634932_23     Document Type: Conference Paper

References (18)

1. J. Borenstein, B. Everett, and L. Feng. Navigating Mobile Robots: Systems and Techniques. A. K. Peters, Ltd., Wellesley, MA, 1996.
2. Joachim Buhmann, Wolfram Burgard, Armin B. Cremers, Dieter Fox, Thomas Hofmann, Frank Schneider, Jiannis Strikos, and Sebastian Thrun. The mobile robot RHINO. AI Magazine, 16(2):31-38, Summer 1995.
3. Wolfram Burgard, Dieter Fox, Daniel Hennig, and Time Schmidt. Estimating the absolute position of a mobile robot using position probability grids. In Proc. of the Fourteenth National Conference on Artificial Intelligence (AAAI-96), pages 896-901, 1996.
4. Wolfram Burgard, Dieter Fox, and Sebastian Thrun. Active mobile robot localization. In Proc. of the Fifteenth International Conference on Artificial Intelligence (IJCAI-97), 1997.
5. I.J. Cox and G.T. Wilfong, editors. Autonomous Robot Vehicles. Springer Verlag, 1990.
6. Joachim Hertzberg and Frank Kirchner. Landmark-based autonomous navigation in sewerage pipes. In Proceedings of the First Eurorrzicro Workshop on Advanced Mobile Robots (EUROMICRO '96), pages 68-73. IEEE Computer Society Press, 1996.
7. Leslie Pack Kaelbling, Anthony R. Cassandra, and James A. Kurien. Acting under uncertainty: Discrete bayesian models for mobile-robot navigation. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 1996.
8. David Kortenkamp and Terry Weymouth. Topological mapping for mobile robots using a combination of sonar and vision sensing. In Proc. of the Twelfth National Conference on Artificial Intelligence, pages 979-984, 1994.
9. Peter S. Maybeck. The Kalman filter: An introduction to concepts. In Cox and Wilfong [5].
10. Hans P. Moravec. Sensor fusion in certainty grids for mobile robots. Al Magazine, pages 61-74, Summer 1988.
11. Hans P. Moravec and A.E. Elfes. High resolution maps from wide angle sonar. In Proc. IEEE Int. Conf. Robotics and Automation, pages 116-121, 1985.
12. Illa Nourbakhsh, Rob Powers, and Stan Birchfield. DERVISH an office-navigating robot. Al Magazine, 16(2):53-60, Summer 1995.
13. Judea Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann Publishers, Inc., 1988.
14. Bernt Schiele and James L. Crowley. A comparison of position estimation techniques using occupancy grids. In Proc. of the IEEE International Conference on Robotics and Automation, pages 1628-1634, 1994.
15. Reid Simmons and Sven Koenig. Probabilistic robot navigation in partially observable environments. In Proc. International Joint Conference on Artificial Intelligence, 1995.
16. Harold W. Sorensen. Kalman Filtering: Theroy and Application. IEEE Press, 1985.
17. S. Thrun, A. Biicken, W. Burgard, D. Fox, T. PrOhlinghaus, D. Hennig, T. Hofmann, M. Krell, and T. Schimdt. Map learning and high-speed navigation in RHINO. In D. Kortenkamp, R.P. Bonasso, and R. Murphy, editors, AI-based Mobile Robots: Case studies of successful robot systems. MIT Press, Cambridge, MA, to appear.
18. Gerhard Weif3, Christopher Wetzler, and Ewald von Puttkamer. Keeping track of position and orientation of moving indoor systems by correlation of rangefinder scans. In Proceedings of the International Conference on Intelligent Robots and Systems, pages 595-601, 1994.