FPGA-based Accelerator for Convolutional Neural Network Application in Mobile Robotics

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorMazzetto, Lucas F. R.-
Autor(es): dc.creatorCastanho, Jose E. C.-
Data de aceite: dc.date.accessioned2025-08-21T17:59:02Z-
Data de disponibilização: dc.date.available2025-08-21T17:59:02Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2022-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10333052-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/306745-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/306745-
Descrição: dc.descriptionThis paper presents the development of a Convolutional Neural Network accelerator based on a Field Programmable Gate Array (FPGA) for the steering control application in a mobile robot. The FPGA-based implementation was benchmarked against an equivalent implementation using a general-purpose processor. The FPGA outperforms the general-purpose processor by significantly reducing processing time. However, the quantization process introduces increased estimation error, and the concurrent execution of the processor for data preprocessing in the accelerator implementation leads to higher power consumption. While the proposed solution is specific to the robot steering control problem, the general insights can be extrapolated to other applications that require high computing performance within power constraints.-
Descrição: dc.descriptionSão Paulo State University (Unesp) School of Engineering Dept. of Electrical Engineering-
Descrição: dc.descriptionSão Paulo State University (Unesp) School of Engineering Dept. of Electrical Engineering-
Formato: dc.format433-438-
Idioma: dc.languageen-
Relação: dc.relationProceedings - 2023 Latin American Robotics Symposium, 2023 Brazilian Symposium on Robotics, and 2023 Workshop of Robotics in Education, LARS/SBR/WRE 2023-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectConvolutional Neural Networks-
Palavras-chave: dc.subjectEmbedded Systems-
Palavras-chave: dc.subjectFPGA-
Palavras-chave: dc.subjectHardware Accelerator-
Palavras-chave: dc.subjectMobile Robotics-
Título: dc.titleFPGA-based Accelerator for Convolutional Neural Network Application in Mobile Robotics-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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