Videosensor for the Detection of Unsafe Driving Behavior in the Proximity of Black Spots

Sensors

Andres Fuentes²  Ricardo Fuentes²  Enrique Cabello¹  Cristina Conde¹ 

[1] Universidad Rey Juan Carlos (URJC), Escuela Tecnica Superior de Ingenieria Informatica, Tulipán s/n, Móstoles, Madrid 28933, Spain; E-Mails:;Universidad de Colima (UCol), Mexico, Ave. Universidad #333, Colonia Las Víboras, Colima 28050, Mexico; E-Mail:

关键词: image processing;    artificial vision;    detection;    driving car;    GPS;   

DOI  :  10.3390/s141119926

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.