@article{esa:milanes2011,
author = "Vicente Milan{\'e}s and Llorca, David F. and Jorge Villagr{\'a} and Joshu{\'e} P{\'e}rez and Fern{\'a}ndez, Carlos and Parra, Ignacio and Carlos Gonz{\'a}lez and Sotelo, Miguel {\'A}ngel",
abstract = "There is clear evidence that investment in intelligent transportation system technologies brings major social and economic benefits. Technological advances in the area of automatic systems in particular are becoming vital for the reduction of road deaths. We here describe our approach to automation of one the riskiest autonomous man{\AA}“uvres involving vehicles {\^a}€“ overtaking. The approach is based on a stereo vision system responsible for detecting any preceding vehicle and triggering the autonomous overtaking man{\AA}“uvre. To this end, a fuzzy-logic based controller was developed to emulate how humans overtake. Its input is information from the vision system and from a positioning-based system consisting of a differential global positioning system (DGPS) and an inertial measurement unit (IMU). Its output is the generation of action on the vehicle{\^a}€™s actuators, i.e., the steering wheel and throttle and brake pedals. The system has been incorporated into a commercial Citro{\"e}n car and tested on the private driving circuit at the facilities of our research center, CAR, with different preceding vehicles {\^a}€“ a motorbike, car, and truck {\^a}€“ with encouraging results.",
doi = "10.1016/j.eswa.2011.09.024",
issn = "0957-4174",
journal = "Expert Systems with Applications",
keywords = "Advanced vehicle control and safety systems",
pages = " - ",
title = "{I}ntelligent automatic overtaking system using vision for vehicle detection",
url = "http://www.sciencedirect.com/science/article/pii/S0957417411013339",
year = "2011",
}