Publication:
Development of a Vision-Based Unmanned Ground Vehicle for Mapping and Tennis Ball Collection: A Fuzzy Logic Approach

cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.departmentc82f2d18-d064-4e66-ae4c-5ccfd2748980
cris.virtualsource.department08a55690-c057-42dc-a361-5905c2bd9435
cris.virtualsource.orcidc82f2d18-d064-4e66-ae4c-5ccfd2748980
cris.virtualsource.orcid08a55690-c057-42dc-a361-5905c2bd9435
dc.contributor.authorMasoud Latifinavid
dc.contributor.authorAydin Azizi
dc.date.accessioned2024-05-23T08:33:55Z
dc.date.available2024-05-23T08:33:55Z
dc.date.issued2023-02-19
dc.description.abstract<jats:p>The application of robotic systems is widespread in all fields of life and sport. Tennis ball collection robots have recently become popular because of their potential for saving time and energy and increasing the efficiency of training sessions. In this study, an unmanned and autonomous tennis ball collection robot was designed and produced that used LiDAR for 2D mapping of the environment and a single camera for detecting tennis balls. A novel method was used for the path planning and navigation of the robot. A fuzzy controller was designed for controlling the robot during the collection operation. The developed robot was tested, and it successfully detected 91% of the tennis balls and collected 83% of them.</jats:p>
dc.identifier.doi10.3390/fi15020084
dc.identifier.urihttps://acikarsiv.thk.edu.tr/handle/123456789/124
dc.publisherMDPI AG
dc.relation.ispartofFuture Internet
dc.relation.issn1999-5903
dc.titleDevelopment of a Vision-Based Unmanned Ground Vehicle for Mapping and Tennis Ball Collection: A Fuzzy Logic Approach
dc.typejournal-article
dspace.entity.typePublication
oaire.citation.issue2
oaire.citation.volume15

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