Citation

Araya V, Espada N, Tosini M, Leiva L. J. Software Eng. Appl. 2016; 9(5): 175-181.

Copyright

(Copyright © 2016, Scientific Research Publishing)

DOI

10.4236/jsea.2016.95014

PMID

unavailable

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.

KEYWORDS: Driver Assistance, Framework, Automotive Risk Detection

Language: en