Abstract
In order to solve the target localization question for autonomous soccer robot, a coordinate space transformation model was developed. Based on the characteristic analysis of camera, we use panoramic vision to adjust robot posture, use foreground vision to count the exact distance between object and robot, and calculate the vertically distance and horizontal distance through transform frame coordinate system to world coordinate system. Contrastive experiment results prove that this algorithm is accurate and reliable, it also be successfully used for object reorganization and position judgment at RoboCup competition.
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© 2008 Springer-Verlag Berlin Heidelberg
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Shao, G., Wen, Y., Yu, F., Li, Z. (2008). Target Localization for Autonomous Soccer Robot Based on Vision Perception. In: Kang, L., Cai, Z., Yan, X., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2008. Lecture Notes in Computer Science, vol 5370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92137-0_91
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DOI: https://doi.org/10.1007/978-3-540-92137-0_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-92136-3
Online ISBN: 978-3-540-92137-0
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