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Videosensor for the detection of unsafe driving behavior in the proximity of black spots
Andres Fuentes1, Ricardo Fuentes2, Enrique Cabello3
1Universidad de Colima (UCol), Mexico, Ave. Universidad #333, Colonia Las Víboras, Colima 28050, Mexico. fuentesg@ucol.mx.
Abstract:
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.
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