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Videosensor for the detection of unsafe driving behavior in the proximity of black spots.
Fuentes, Andres; Fuentes, Ricardo; Cabello, Enrique; Conde, Cristina; Martin, Isaac.
Afiliação
  • Fuentes A; Universidad de Colima (UCol), Mexico, Ave. Universidad #333, Colonia Las Víboras, Colima 28050, Mexico. fuentesg@ucol.mx.
  • Fuentes R; Universidad de Colima (UCol), Mexico, Ave. Universidad #333, Colonia Las Víboras, Colima 28050, Mexico. fuentesr@ucol.mx.
  • Cabello E; Universidad Rey Juan Carlos (URJC), Escuela Tecnica Superior de Ingenieria Informatica, Tulipán s/n, Móstoles, Madrid 28933, Spain. enrique.cabello@urjc.es.
  • Conde C; Universidad Rey Juan Carlos (URJC), Escuela Tecnica Superior de Ingenieria Informatica, Tulipán s/n, Móstoles, Madrid 28933, Spain. cristina.conde@urjc.es.
  • Martin I; Universidad Rey Juan Carlos (URJC), Escuela Tecnica Superior de Ingenieria Informatica, Tulipán s/n, Móstoles, Madrid 28933, Spain. isaac.martin@urjc.es.
Sensors (Basel) ; 14(11): 19926-44, 2014 Oct 24.
Article em En | MEDLINE | ID: mdl-25347580
This paper discusses the overall design and implementation of a video sensor for the detection of risky behaviors of car drivers near previously identified and georeferenced black spots. The main goal is to provide the driver with a visual audio alert that informs of the proximity of an area of high incidence of highway accidents only if their driving behavior could result in a risky situation. It proposes a video sensor for detecting and supervising driver behavior, its main objective being manual distractions, so hand driver supervision is performed. A GPS signal is also considered, the GPS information is compared with a database of global positioning Black Spots to determine the relative proximity of a risky area. The outputs of the video sensor and GPS sensor are combined to evaluate a possible risky behavior. The results are promising in terms of risk analysis in order to be validated for use in the context of the automotive industry as future work.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Condução de Veículo / Gravação em Vídeo / Interpretação de Imagem Assistida por Computador / Fotografação / Acidentes de Trânsito / Imageamento Tridimensional / Sistemas de Informação Geográfica Tipo de estudo: Diagnostic_studies / Evaluation_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Condução de Veículo / Gravação em Vídeo / Interpretação de Imagem Assistida por Computador / Fotografação / Acidentes de Trânsito / Imageamento Tridimensional / Sistemas de Informação Geográfica Tipo de estudo: Diagnostic_studies / Evaluation_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article