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An AI-based object detection approach for robotic competitions

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dc.contributor.authorPilarski, Leonardo
dc.contributor.authorLuiz, Luiz Eduardo
dc.contributor.authorBraun, João
dc.contributor.authorNakano, Alberto Yoshiro
dc.contributor.authorPinto, Vítor H.
dc.contributor.authorCosta, Paulo Gomes da
dc.contributor.authorLima, José
dc.date.accessioned2024-01-09T10:00:05Z
dc.date.available2024-01-09T10:00:05Z
dc.date.issued2023
dc.description.abstractArtificial Intelligence has been introduced in many applications, namely in artificial vision-based systems with object detection tasks. This paper presents an object localization system with a motivation to use it in autonomous mobile robots at robotics competitions. The system aims to allow robots to accomplish their tasks more efficiently. Object detection is performed using a camera and artificial intelligence based on the YOLOv4 Tiny detection model. An algorithm was developed that uses the data from the system to estimate the parameters of location, distance, and orientation based on the pinhole camera model and trigonometric modelling. It can be used in smart identification procedures of objects. Practical tests and results are presented, constantly locating the objects and with errors between 0.16 and 3.8 cm, concluding that the object localization system is adequate for autonomous mobile robots.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020). The project that gave rise to these results received the support of a fellowship from ”la Caixa” Foundation (ID 100010434). The fellowship code is LCF/BQ/DI20/11780028. João Braun is a PhD Student at the Faculty of Engineering, University of Porto (FEUP) supervised by Prof. Paulo Costa.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPilarski, Leonardo; Luiz, Luiz E.; Braun, João; Nakano, Alberto Yoshiro; Pinto, Vítor H.; Costa, Paulo Gomes da; Lima, José (2023). An AI-based object detection approach for robotic competitions. In 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). 19-21 July 2023, Tenerife. p. 1-6. ISBN 979-8-3503-2297-2pt_PT
dc.identifier.doi10.1109/ICECCME57830.2023.10252410pt_PT
dc.identifier.isbn979-8-3503-2297-2
dc.identifier.urihttp://hdl.handle.net/10198/29135
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectRobotic competitionspt_PT
dc.subjectAutonomous mobile robotspt_PT
dc.subjectObject detectionpt_PT
dc.subjectArtificial intelligencept_PT
dc.titleAn AI-based object detection approach for robotic competitionspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameBraun
person.familyNameLima
person.givenNameJoão A.
person.givenNameJosé
person.identifierR-000-8GD
person.identifier.ciencia-idBF13-D66B-7D08
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0003-0276-4314
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id57211244317
person.identifier.scopus-author-id55851941311
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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