| Publication type: |
Article in Proceedings |
| Author: |
T. Laue, T.J. de Haas, A. Burchardt, C. Graf, T. Röfer, A. Härtl, A. Rieskamp |
| Editor: |
C. Zhou, E. Pagello, E. Menegatti, S. Behnke, T. Röfer |
| Title: |
Efficient and Reliable Sensor Models for Humanoid Soccer Robot Self-Localization |
| Book / Collection title: |
Proceedings of the Fourth Workshop on Humanoid Soccer Robots in conjunction with the 2009 IEEE-RAS International Conference on Humanoid Robots |
| Year published: |
2009 |
| Abstract: |
Although the precise structure of the color-coded environment as well as different well-proven state estimation algorithms are known, self-localization in a humanoid soccer robot scenario remains a challenging task. Different problems arise, e.g., from an inaccurate proprioception, the sparsity of unique features, or the perception of false positives. In this paper, we present approaches for reliable and efficient feature extraction together with the features' incorporation into a robust state estimation process. |
| PDF Version: |
http://www.informatik.uni-bremen.de/kogrob/papers/Humanoids-Laue-etal-09.pdf |
| Status: |
Reviewed |
| Last updated: |
02. 12. 2009 |
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