Abstract
In a dynamic situation like robot soccer any individual player can only observe a limited portion of their environment at any given time. As such to develop strategies based upon planning and cooperation between different players it is imperative that they be able to share information which may or may not be in any individual player’s field of vision. In this paper we propose a method for multi-agent cooperation for perception based upon the Extended Kalman Filter (EKF) which enables players to track objects absent from their field of vision and also to improve the accuracy of position and velocity estimates of objects in their field of vision.
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© 2006 Springer-Verlag Berlin Heidelberg
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Karol, A., Williams, MA. (2006). Distributed Sensor Fusion for Object Tracking. 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_47
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DOI: https://doi.org/10.1007/11780519_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35437-6
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