Trust in Autonomous Vehicule and AR visualization

Improving autonomous vehicle drivers’ confidence via Augmented Reality visualization of artificial intelligence decision-making context

Last updated on Jul 17, 2024

Abstract

This PhD project aims to enhance trust in autonomous vehicles by improving driver situational awareness through augmented reality (AR). Recognizing that unpredictable AI behavior and sudden transitions from autonomous to manual control can cause discomfort and safety concerns, the research will develop AR techniques to visually communicate the vehicle’s decisions and potential hazards to the driver. This approach will help drivers understand and trust the vehicle’s actions, especially in critical moments when manual intervention is needed. The project will tackle challenges in real-time hazard visualization and decision transparency, ultimately aiding the deployment of level 4 and 5 autonomous cars.

People involved

Researchers at IMT Atlantique

Guillaume Moreau
Professor of Computer Science at IMT Atlantique, Brest campus, in France, with research interests in Virtual and Augmented Reality within the Lab-STICC lab. He is also a member of the INRIA Hybrid team and currently serve as Deputy Dean for Research and Innovation at IMT Atlantique.
Guillaume Moreau

Researchers at University of South Australia

Bruce Thomas
Professor Bruce H. Thomas is on the leadership team of IVE: Australian Research Centre for Interactive and Virtual Environments. He is nationally and internationally recognised for his contributions to the scientific community and to the industry in the areas Wearable Computers, Tabletop Interactions, Augmented Reality, and User Interaction.
James Walsh
A believer in the technology’s ability to empower people and improve their lives, James is currently an Enterprise Fellow at the University of South Australia’s Australian Research Centre for Interactive and Virtual Environments (IVE). Having previously worked with education, Defence, the Australian Federal Police, as well as private industry across research, teaching, and commericalisation perspectives, James well versed in engaging with end users across all domains to deliver outcomes.
James Walsh

PhD Student

Thi Thanh Hoa TRAN
Thi Than Hoa TRAN is a PhD student in the Lab-STICC laboratory, part of the INUIT team. Her thesis, “Improving autonomous vehicle drivers’ confidence via Augmented Reality visualization of artificial intelligencedecision-making context” aims to improve the trust by improving the situational awareness of the occupants with appropriate AR visualization techniques
Thi Thanh Hoa TRAN

Intern

Taha Lamine
Taha Lamine
Industry Visualization Interaction Artificial Intelligence Confidence