TITLE:
First Approach to a Framework for Regional Road-Traffic Accidents Reduction System
AUTHORS:
Vanesa Araya, Natacha Espada, Marcelo Tosini, Lucas Leiva
KEYWORDS:
Driver Assistance, Framework, Automotive Risk Detection
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.9 No.5,
May
19,
2016
ABSTRACT: Several conditions as driver imprudence,
road conditions and obstacles are the main factors that will cause road
accidents. The most important automotive industries are incorporating
technology to reduce risk in vehicles. Their products are expensive and lack
flexibility to incorporate new features. This work presented a first approach
to increase vehicle safety based on regional features. A framework was
implemented, incorporating lane analysis and obstacle detection through image
processing. The framework was tested using image datasets and real captures
with satisfactory results.