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https://hdl.handle.net/1822/70410
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Campo DC | Valor | Idioma |
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dc.contributor.author | Jesus, Tiago Rafael Andrade | por |
dc.contributor.author | Duarte, Júlio Miguel Marques | por |
dc.contributor.author | Ferreira, Diana | por |
dc.contributor.author | Durães, Dalila | por |
dc.contributor.author | Marcondes, Francisco Supino | por |
dc.contributor.author | Santos, Flávio Arthur Oliveira | por |
dc.contributor.author | Gomes, Marco Filipe Vieira | por |
dc.contributor.author | Novais, Paulo | por |
dc.contributor.author | Gonçalves, Filipe | por |
dc.contributor.author | Fonseca, Joaquim | por |
dc.contributor.author | Lori, Nicolas Francisco | por |
dc.contributor.author | Abelha, António | por |
dc.contributor.author | Machado, José Manuel | por |
dc.date.accessioned | 2021-02-24T11:48:56Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Jesus, T., Duarte, J., Ferreira, D., Durães, D., Marcondes, F., Santos, F., … Machado, J. (2020). Review of Trends in Automatic Human Activity Recognition Using Synthetic Audio-Visual Data. Lecture Notes in Computer Science. Springer International Publishing. http://doi.org/10.1007/978-3-030-62365-4_53 | - |
dc.identifier.isbn | 978-3-030-62364-7 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://hdl.handle.net/1822/70410 | - |
dc.description.abstract | An in-depth study of knowledge and technologies was made related to the various scientific, technical, and industrial domains necessary for the acquisition of skills and capabilities for the design and development of a multisensory fusion system for vehicle cockpits. After an extensive literature review, it was possible to determine the baselines of the solution to be developed and obtain a pipeline prototype. | por |
dc.description.sponsorship | This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020. Human and material resources have also been supported by the European Structural and Investment Funds in the FEDER component, through the Operational Competitiveness and Internationalization Programme (COMPETE 2020) [Project number 039334; Funding Reference: POCI-01-0247-FEDER-039334]. | por |
dc.language.iso | eng | por |
dc.publisher | Springer | por |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT | por |
dc.rights | restrictedAccess | por |
dc.subject | Autonomous car | por |
dc.subject | Multisensory fusion | por |
dc.subject | Audio-visual synthetic data | por |
dc.title | Review of trends in automatic human activity recognition using synthetic audio-visual data | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
oaire.citationStartPage | 549 | por |
oaire.citationEndPage | 560 | por |
oaire.citationVolume | 12490 | por |
dc.date.updated | 2021-02-24T11:28:54Z | - |
dc.identifier.doi | 10.1007/978-3-030-62365-4_53 | por |
dc.date.embargo | 10000-01-01 | - |
sdum.export.identifier | 8959 | - |
sdum.journal | Lecture Notes in Computer Science | por |
sdum.conferencePublication | Intelligent Data Engineering and Automated Learning – IDEAL 2020: 21st International Conference | por |
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ideal-01.pdf Acesso restrito! | 426,49 kB | Adobe PDF | Ver/Abrir |