HCROSep 27, 2012

DAARIA: Driver Assistance by Augmented Reality for Intelligent Automobile

arXiv:1209.6140v132 citations
Originality Synthesis-oriented
AI Analysis

This addresses the problem of improving safety and user interaction in driver assistance systems, but appears incremental as it builds on existing augmented reality and sensor technologies.

The paper tackles the challenge of designing driver assistance systems that account for the driver's state by presenting DAARIA, an augmented reality interface that detects obstacles and driver behavior to visualize hazards while keeping eyes on the road. First results indicate potential applicability beyond vehicles to aerospace and maritime navigation.

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.

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