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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Shen, Z., Huang, X.: Monocular vision distance detection algorithm based on data regression modeling. Computer Engineering and Applications 43(24), 15–18 (2007)
Zeng, S.: Research of distance detection algorithms based on monocular vision. Kunming university of science and technology, master degree paper, 1–18 (2007)
Xie, Y., Yang, Y.: A self-localization method with monocular vision for autonomous soccer robot. Microelectronics & Computer 22(10), 129–132 (2005)
Yu, F., Li, Z., Wang, N.: New method for autonomous soccer monocular vision position determination. Computer Measurement &Control 15(27), 1781–1784 (2007)
Li, M., Hong, B.: Monocular-vision-based mobile robot global localization. Robot. 29(2), 140–144 (2007)
Chen, G., Sun, X., et al.: Monitor system of independent motion robot based on monocular visual. Development & Innovation of Machinery & Electrical Products 20(1), 4–6 (2007)
Jiang, Y., Gao, Q., et al.: Research on Recognition and Localization Methods for Autonomous Soccer Robot. Journal of Northeast China Institute of Electric Power Engineering 22(3), 12–16 (2002)
Zhu, Y., Hong, B., Ruan, Y.: Fast recognition and localization of objects by full-autonomous soccer robot. Journal of Harbin Institute of Technology 35(9) (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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
eBook Packages: Computer ScienceComputer Science (R0)