by Yu, W, Shi, H, Lim, YS, Huang, LL, Chen, YP and Zhou, Z
Abstract:
To achieve robust posture measurement and identification (ID) of a group of fast-moving mobile robots in a robot soccer system in real time, a novel image-processing algorithm is proposed. The algorithm consists of an illumination-adaptive filter, a fast look-up table, a run-length-encoding-based image reconstruction and a robot ID design. Camera calibration and elimination of parallax errors are also considered. Experimental results verify the speed, reliability and accuracy of the proposed algorithm under different illumination conditions and rapid movement of mobile robots.
Reference:
Robust posture measurement and identification of soccer robots (Yu, W, Shi, H, Lim, YS, Huang, LL, Chen, YP and Zhou, Z), In Measurement Science and Technology, volume 14, 2003.
Bibtex Entry:
@article{yu2003robustrobots,
author = "Yu, W and Shi, H and Lim, YS and Huang, LL and Chen, YP and Zhou, Z",
journal = "Measurement Science and Technology",
month = "Sep",
pages = "1640--1647",
title = "Robust posture measurement and identification of soccer robots",
volume = "14",
year = "2003",
abstract = "To achieve robust posture measurement and identification (ID) of a group of fast-moving mobile robots in a robot soccer system in real time, a novel image-processing algorithm is proposed. The algorithm consists of an illumination-adaptive filter, a fast look-up table, a run-length-encoding-based image reconstruction and a robot ID design. Camera calibration and elimination of parallax errors are also considered. Experimental results verify the speed, reliability and accuracy of the proposed algorithm under different illumination conditions and rapid movement of mobile robots.",
doi = "10.1088/0957-0233/14/9/315",
issn = "0957-0233",
issue = "9",
keyword = "Machine vision",
keyword = "Robust image processing",
keyword = "Run length encoding",
language = "eng",
pii = "S0957023303591962",
}