Vehicle driver monitoring through the statistical process control.

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorAssunção, Arthur Nascimento-
Autor(es): dc.creatorAquino, André Luiz Lins de-
Autor(es): dc.creatorSantos, Ricardo Creonte Câmara de Meira-
Autor(es): dc.creatorGuimarães, Rodolfo Labiapari Mansur-
Autor(es): dc.creatorOliveira, Ricardo Augusto Rabelo-
Data de aceite: dc.date.accessioned2025-08-21T15:57:20Z-
Data de disponibilização: dc.date.available2025-08-21T15:57:20Z-
Data de envio: dc.date.issued2020-07-24-
Data de envio: dc.date.issued2020-07-24-
Data de envio: dc.date.issued2019-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/handle/123456789/12508-
Fonte completa do material: dc.identifierhttps://doi.org/10.3390/s19143059-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1028485-
Descrição: dc.descriptionThis paper proposes the use of the Statistical Process Control (SPC), more specifically, the Exponentially Weighted Moving Average method, for the monitoring of drivers using approaches based on the vehicle and the driver’s behavior. Based on the SPC, we propose a method for the lane departure detection; a method for detecting sudden driver movements; and a method combined with computer vision to detect driver fatigue. All methods consider information from sensors scattered by the vehicle. The results showed the efficiency of the methods in the identification and detection of unwanted driver actions, such as sudden movements, lane departure, and driver fatigue. Lane departure detection obtained results of up to 76.92% (without constant speed) and 84.16% (speed maintained at ≈60). Furthermore, sudden movements detection obtained results of up to 91.66% (steering wheel) and 94.44% (brake). The driver fatigue has been detected in up to 94.46% situations.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsaberto-
Direitos: dc.rightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Fonte: o próprio artigo.-
Palavras-chave: dc.subjectDriver monitor-
Palavras-chave: dc.subjectLane departure-
Título: dc.titleVehicle driver monitoring through the statistical process control.-
Aparece nas coleções:Repositório Institucional - UFOP

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