Abstract
The paper develops a new approach for robot self-localization in the Robocup Midsize league. The approach is based on modeling the quality of an estimate using an error term and numerically minimizing it. Furthermore, we derive the reliability of the estimate analyzing the error function and apply the derived uncertainty value to a sensor integration process. The approach is characterized by high precision, robustness and computational efficiency.
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Lauer, M., Lange, S., Riedmiller, M. (2006). Calculating the Perfect Match: An Efficient and Accurate Approach for Robot Self-localization. In: Bredenfeld, A., Jacoff, A., Noda, I., Takahashi, Y. (eds) RoboCup 2005: Robot Soccer World Cup IX. RoboCup 2005. Lecture Notes in Computer Science(), vol 4020. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11780519_13
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DOI: https://doi.org/10.1007/11780519_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35437-6
Online ISBN: 978-3-540-35438-3
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