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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Main Authors: Jing Yu, Wensong Jiang, Zai Luo, Li Yang
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/5/1829
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spelling 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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