DAARIA: Driver Assistance by Augmented Reality for Intelligent Automobile
Paul George (HEUDIASYC), Indira Thouvenin (HEUDIASYC), Vincent Fremont, (HEUDIASYC), V\'eronique Cherfaoui (HEUDIASYC)

TL;DR
This paper introduces DAARIA, an augmented reality driver assistance system that enhances safety by visualizing obstacles and driver behavior in real-time, aiming to improve driver awareness without distraction.
Contribution
The paper presents a novel AR-based interface for driver assistance that integrates multiple sensors to detect hazards and driver state, providing real-time visual cues.
Findings
Effective hazard visualization in AR improves driver awareness.
System adaptable to various navigation contexts like aerospace and maritime.
First results indicate potential for real-world vehicle application.
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. 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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Taxonomy
TopicsAugmented Reality Applications · Human-Automation Interaction and Safety · Spatial Cognition and Navigation
