Citation

Fuentes A, Fuentes R, Cabello E, Conde C, Martin I. Sensors (Basel) 2014; 14(11): 19926-19944.

Affiliation

Universidad Rey Juan Carlos (URJC), Escuela Tecnica Superior de Ingenieria Informatica, Tulipán s/n, Móstoles, Madrid 28933, Spain. isaac.martin@urjc.es.

Copyright

(Copyright © 2014, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/s141119926

PMID

25347580

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.


Keywords: Driver distraction;

Language: en