DAARIA: Driver Assistance by Augmented Reality for Intelligent Automobile

Paul George (1) , Indira Thouvenin (1) , Vincent Fremont (1) , Véronique Cherfaoui (1)

1 Heudiasyc - Heuristique et Diagnostic des Systèmes Complexes [Compiègne]

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. DAARIA 1 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.

Domaines: Interface homme-machine [cs.HC]; Robotique [cs.RO]

Paul George, Indira Thouvenin, Vincent Fremont, Véronique Cherfaoui. DAARIA: Driver Assistance by Augmented Reality for Intelligent Automobile. IEEE Intelligent Vehicles Symposium (IV 2012), Jun 2012, Alcalá de Henares, Spain. pp.1043-1048. ⟨hal-00733246⟩