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Abstract: This work presents methods for tracking objects from noisy and unreliable data taken by a team of robots. We develop a multi-object tracking algorithm based on Kalman filtering and a single-object tracking method involving a combination of Kalman filtering and Markov localization for outlier detection. We apply these methods in the context of robot soccer for robots participating in the middle-size league and compare them to a simple averaging method. Results including situations from real... (Update)
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BibTeX entry: (Update)
Markus Dietl, Jens-Steffen Gutmann, and Bernhard Nebel. Cooperative sensing in dynamic environments. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'01), Maui, Hawaii, 2001. http://citeseer.ist.psu.edu/dietl01cooperative.html More
@misc{ dietl01cooperative,
author = "M. Dietl and J. Gutmann and B. Nebel",
title = "Cooperative sensing in dynamic environments",
text = "Markus Dietl, Jens-Steffen Gutmann, and Bernhard Nebel. Cooperative sensing
in dynamic environments. In Proceedings of the IEEE/RSJ International Conference
on Intelligent Robots and Systems (IROS'01), Maui, Hawaii, 2001.",
year = "2001",
url = "citeseer.ist.psu.edu/dietl01cooperative.html" }
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