Application of a Vision-Based Single Target on Robot Positioning System
In this paper, we propose a Circular-ring visual location marker based on a global image-matching model to improve the positioning ability in the fiducial marker system of a single-target mobile robot. The unique coding information is designed according to the cross-ratio invariance of the projectiv...
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doaj-5575aebd3ea046b396a24696caaf1ebe2021-03-06T00:08:30ZengMDPI AGSensors1424-82202021-03-01211829182910.3390/s21051829Application of a Vision-Based Single Target on Robot Positioning SystemJing Yu0Wensong Jiang1Zai Luo2Li Yang3School of Metrology and Test Engineering, China Jiliang University, Hangzhou 310018, ChinaSchool of Metrology and Test Engineering, China Jiliang University, Hangzhou 310018, ChinaSchool of Metrology and Test Engineering, China Jiliang University, Hangzhou 310018, ChinaSchool of Metrology and Test Engineering, China Jiliang University, Hangzhou 310018, ChinaIn this paper, we propose a Circular-ring visual location marker based on a global image-matching model to improve the positioning ability in the fiducial marker system of a single-target mobile robot. The unique coding information is designed according to the cross-ratio invariance of the projective theorem. To verify the accuracy of full 6D pose estimation using the Circular-ring marker, a 6 degree of freedom (DoF) robotic arm platform is used to design a visual location experiment. The experimental result shows in terms of small resolution images, different size markers, and long-distance tests that our proposed robot positioning method significantly outperforms AprilTag, ArUco, and Checkerboard. Furthermore, through a repeatable robot positioning experiment, the results indicated that the proposed Circular-ring marker is twice as accurate as the fiducial marker at 2–4 m. In terms of recognition speed, the Circular-ring marker processes a frame within 0.077 s. When the Circular-ring marker is used for robot positioning at 2–4 m, the maximum average translation error of the Circular-ring marker is 2.19, 3.04, and 9.44 mm. The maximum average rotation error is also 1.703°, 1.468°, and 0.782°.https://www.mdpi.com/1424-8220/21/5/1829monocular visiontarget recognitioncross-ratio invariancesingle-target mobile robot positioning |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jing Yu Wensong Jiang Zai Luo Li Yang |
spellingShingle |
Jing Yu Wensong Jiang Zai Luo Li Yang Application of a Vision-Based Single Target on Robot Positioning System Sensors monocular vision target recognition cross-ratio invariance single-target mobile robot positioning |
author_facet |
Jing Yu Wensong Jiang Zai Luo Li Yang |
author_sort |
Jing Yu |
title |
Application of a Vision-Based Single Target on Robot Positioning System |
title_short |
Application of a Vision-Based Single Target on Robot Positioning System |
title_full |
Application of a Vision-Based Single Target on Robot Positioning System |
title_fullStr |
Application of a Vision-Based Single Target on Robot Positioning System |
title_full_unstemmed |
Application of a Vision-Based Single Target on Robot Positioning System |
title_sort |
application of a vision-based single target on robot positioning system |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2021-03-01 |
description |
In this paper, we propose a Circular-ring visual location marker based on a global image-matching model to improve the positioning ability in the fiducial marker system of a single-target mobile robot. The unique coding information is designed according to the cross-ratio invariance of the projective theorem. To verify the accuracy of full 6D pose estimation using the Circular-ring marker, a 6 degree of freedom (DoF) robotic arm platform is used to design a visual location experiment. The experimental result shows in terms of small resolution images, different size markers, and long-distance tests that our proposed robot positioning method significantly outperforms AprilTag, ArUco, and Checkerboard. Furthermore, through a repeatable robot positioning experiment, the results indicated that the proposed Circular-ring marker is twice as accurate as the fiducial marker at 2–4 m. In terms of recognition speed, the Circular-ring marker processes a frame within 0.077 s. When the Circular-ring marker is used for robot positioning at 2–4 m, the maximum average translation error of the Circular-ring marker is 2.19, 3.04, and 9.44 mm. The maximum average rotation error is also 1.703°, 1.468°, and 0.782°. |
topic |
monocular vision target recognition cross-ratio invariance single-target mobile robot positioning |
url |
https://www.mdpi.com/1424-8220/21/5/1829 |
work_keys_str_mv |
AT jingyu applicationofavisionbasedsingletargetonrobotpositioningsystem AT wensongjiang applicationofavisionbasedsingletargetonrobotpositioningsystem AT zailuo applicationofavisionbasedsingletargetonrobotpositioningsystem AT liyang applicationofavisionbasedsingletargetonrobotpositioningsystem |
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1724229954597552128 |