@inproceedings{ef2d7fd667bb47fdae72795eab9eaea4,
title = "A geometric localization method with monocular vision for robots",
abstract = "Robot soccer is a classical problem in artificial intelligence. In robot soccer competitions, how to locate the robot properly is a key problem. This paper proposes a geometric localization method with monocular vision for robots. Firstly, the image is segmented and attributes are obtained by converting color space and RLE algorithm. Then a monocular vision localization model is built, in which both the pitch angle and direction angle of the head are not equivalent to zero. After that, we calculate the target coordinates and the corresponding pitch angle and direction angel by rotating the image plate, obtaining the relative position of the target. The simulation result shows that the proposed method reach high accuracy in localization.",
keywords = "Localization, Monocular vision, Robot soccer, Rotate image",
author = "Xuesi Li and Haobin Shi and Haili Li and Hwang, \{Kao Shing\} and Huahui Chen",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016 ; Conference date: 04-07-2016 Through 06-07-2016",
year = "2016",
month = aug,
day = "16",
doi = "10.1109/IS3C.2016.258",
language = "英语",
series = "Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1022--1025",
booktitle = "Proceedings - 2016 IEEE International Symposium on Computer, Consumer and Control, IS3C 2016",
}