Title :
DAARIA: Driver assistance by augmented reality for intelligent automobile
Author :
George, Paul ; Thouvenin, Indira ; Frémont, Vincent ; Cherfaoui, Véronique
Abstract :
Taking into account the drivers´ state is a major challenge for designing new advanced driver assistance systems. In this paper we present a driver assistance system strongly coupled to the user. DAARIA1 stands for Driver Assistance by Augmented Reality for Intelligent Automobile. It is an augmented reality interface powered by several sensors. The detection has two goals: one is the position of obstacles and the quantification of the danger represented by them. The other is the driver´s behavior. A suitable visualization metaphor allows the driver to perceive at any time the location of the relevant hazards while keeping his eyes on the road. First results show that our method could be applied to a vehicle but also to aerospace, fluvial or maritime navigation.
Keywords :
augmented reality; driver information systems; DAARIA; augmented reality interface; danger quantification; driver assistance systems; intelligent automobile; obstacle position; visualization metaphor; Augmented reality; Blades; Calibration; Cameras; Roads; Vehicles; Visualization;
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2012 IEEE
Conference_Location :
Alcala de Henares
Print_ISBN :
978-1-4673-2119-8
DOI :
10.1109/IVS.2012.6232220