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Título: | Vehicle driver monitoring through the statistical process control. |
Autor(es): | Assunção, Arthur Nascimento Aquino, André Luiz Lins de Santos, Ricardo Creonte Câmara de Meira Guimarães, Rodolfo Labiapari Mansur Oliveira, Ricardo Augusto Rabelo |
Palavras-chave: | Driver monitor Lane departure |
Data do documento: | 2019 |
Referência: | ASSUNÇÃO, A. N. et al. Vehicle driver monitoring through the statistical process control. Sensors, v. 19, n. 4, p. 3059, jul. 2019. Disponível em: <https://www.mdpi.com/1424-8220/19/14/3059>. Acesso em: 18 jun. 2020. |
Resumo: | This 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. |
URI: | http://www.repositorio.ufop.br/handle/123456789/12508 |
DOI: | https://doi.org/10.3390/s19143059 |
ISSN: | 1424-8220 |
Licença: | This 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. |
Aparece nas coleções: | DECOM - Artigos publicados em periódicos |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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ARTIGO_VehicleDriverMonitoring.pdf Restricted Access | 4,09 MB | Adobe PDF | Visualizar/Abrir |
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