Autonomous Driving Robot That Drives and Returns along a Planned Route in Underground Mines by Recognizing Road Signs

In this study, an autonomous driving robot that drives and returns along a planned route in an underground mine tunnel was developed using a machine-vision-based road sign recognition algorithm. The robot was designed to recognize road signs at the intersection of a tunnel using a geometric matching...

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Autores principales:	Heonmoo Kim, Yosoon Choi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	smart mining underground mine road sign recognition machine vision autonomous driving Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/d74cd0bb820341c4b3f5ec1a1c2364b6
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id	oai:doaj.org-article:d74cd0bb820341c4b3f5ec1a1c2364b6
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spelling	oai:doaj.org-article:d74cd0bb820341c4b3f5ec1a1c2364b62021-11-11T15:17:04ZAutonomous Driving Robot That Drives and Returns along a Planned Route in Underground Mines by Recognizing Road Signs10.3390/app1121102352076-3417https://doaj.org/article/d74cd0bb820341c4b3f5ec1a1c2364b62021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10235https://doaj.org/toc/2076-3417In this study, an autonomous driving robot that drives and returns along a planned route in an underground mine tunnel was developed using a machine-vision-based road sign recognition algorithm. The robot was designed to recognize road signs at the intersection of a tunnel using a geometric matching algorithm of machine vision, and the autonomous driving mode was switched according to the shape of the road sign to drive the robot according to the planned route. The autonomous driving mode recognized the shape of the tunnel using the distance data from the LiDAR sensor; it was designed to drive while maintaining a fixed distance from the centerline or one wall of the tunnel. A machine-vision-based road sign recognition system and an autonomous driving robot for underground mines were used in a field experiment. The results reveal that all road signs were accurately recognized, and the average matching score was 979.14 out of 1000, confirming stable driving along the planned route.Heonmoo KimYosoon ChoiMDPI AGarticlesmart miningunderground mineroad sign recognitionmachine visionautonomous drivingTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10235, p 10235 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	smart mining underground mine road sign recognition machine vision autonomous driving Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	smart mining underground mine road sign recognition machine vision autonomous driving Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Heonmoo Kim Yosoon Choi Autonomous Driving Robot That Drives and Returns along a Planned Route in Underground Mines by Recognizing Road Signs
description	In this study, an autonomous driving robot that drives and returns along a planned route in an underground mine tunnel was developed using a machine-vision-based road sign recognition algorithm. The robot was designed to recognize road signs at the intersection of a tunnel using a geometric matching algorithm of machine vision, and the autonomous driving mode was switched according to the shape of the road sign to drive the robot according to the planned route. The autonomous driving mode recognized the shape of the tunnel using the distance data from the LiDAR sensor; it was designed to drive while maintaining a fixed distance from the centerline or one wall of the tunnel. A machine-vision-based road sign recognition system and an autonomous driving robot for underground mines were used in a field experiment. The results reveal that all road signs were accurately recognized, and the average matching score was 979.14 out of 1000, confirming stable driving along the planned route.
format	article
author	Heonmoo Kim Yosoon Choi
author_facet	Heonmoo Kim Yosoon Choi
author_sort	Heonmoo Kim
title	Autonomous Driving Robot That Drives and Returns along a Planned Route in Underground Mines by Recognizing Road Signs
title_short	Autonomous Driving Robot That Drives and Returns along a Planned Route in Underground Mines by Recognizing Road Signs
title_full	Autonomous Driving Robot That Drives and Returns along a Planned Route in Underground Mines by Recognizing Road Signs
title_fullStr	Autonomous Driving Robot That Drives and Returns along a Planned Route in Underground Mines by Recognizing Road Signs
title_full_unstemmed	Autonomous Driving Robot That Drives and Returns along a Planned Route in Underground Mines by Recognizing Road Signs
title_sort	autonomous driving robot that drives and returns along a planned route in underground mines by recognizing road signs
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d74cd0bb820341c4b3f5ec1a1c2364b6
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Autonomous Driving Robot That Drives and Returns along a Planned Route in Underground Mines by Recognizing Road Signs

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