MUREA: A MUlti-Resolution Evidence Accumulation Method for Robot Localization in Known Environments-Reference-Cited by-同舟云学术

MUREA: A MUlti-Resolution Evidence Accumulation Method for Robot Localization in Known Environments

Published:2003 Issue: Volume: Page:351-358
ISSN:0302-9743
Container-title:RoboCup 2002: Robot Soccer World Cup VI
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Author:

Restelli Marcello,Sorrenti Domenico G.,Marchese Fabio M.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-45135-8_30

Reference7 articles.

1. Gutmann, J., Burgard, W., Fox, D., Konolige, K.: An experimental comparison of localization methods. In: proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 1998 (1998)

2. Burgard, W., Fox, D., Hennig, D., Schmidt, T.: Estimating the absolute position of a mobile robot using position probability grids. In: AAAI/IAAI, vol. 2, pp. 896–901 (1996)

3. Burgard, W., Derr, A., Fox, D., Cremers, A.: Integrating global position estimation and position tracking for mobile robots: the dynamic markov localization approach. In: proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS (1998)

4. Dellaert, F., Fox, D., Burgard, W., Thrun, S.: Monte carlo localization for mobile robots. In: proceedings of the IEEE International Conference on Robotics and Automation, ICRA 1999 (1999)

5. Olson, C.F.: Probabilistic self-localization for mobile robots. IEEE Transactions on Robotics and Automation 16, 55–66 (2000)

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1. A Probabilistic Framework for Weighting Different Sensor Data in MUREA;RoboCup 2003: Robot Soccer World Cup VII;2004

2. MRT: Robotics Off-the-Shelf with the Modular Robotic Toolkit;Springer Tracts in Advanced Robotics