Abstract
This paper presents an ongoing project investigating the integration of an AI co-driver to enhance realtime decision-making and improve driver safety in high-risk environments. Contemporary urban and motorway driving imposes heavy cognitive demands, often intensified by information overload from multiple in-vehicle displays. To address this, the project proposes an AI Co-Driver combined with a full-windshield Augmented Reality (AR) Head-Up Display (HUD), designed to reduce cognitive strain and heighten situational awareness. The system prioritises and filters essential traffic and environmental data, projecting it directly into the driver’s line of sight and reinforcing it with spatial audio cues. A VR driving simulator study involving 20 participants demonstrated notable eductions in collisions, quicker reaction times, and increased driver confidence when the system was active. While the results highlight strong potential for mitigating vehicular infobesity and supporting the gradual acceptance of autonomous technologies, further work is needed to optimise clarity, trust, and perceived safety in demanding scenarios.
| Original language | English |
|---|---|
| Number of pages | 5 |
| DOIs | |
| Publication status | E-pub ahead of print - 27 Mar 2026 |
| Event | IEEE 44th International Conference on Consumer Electronics - Raffles Hotel, Dubai, United Arab Emirates Duration: 3 Feb 2026 → 5 Feb 2026 https://icce.org/2026/ |
Conference
| Conference | IEEE 44th International Conference on Consumer Electronics |
|---|---|
| Abbreviated title | IEEE ICCE 2026 |
| Country/Territory | United Arab Emirates |
| City | Dubai |
| Period | 3/02/26 → 5/02/26 |
| Internet address |
Keywords
- augmented reality
- artificial intelligence
- collision avoidance
- navigation
- user experience
- emergency vehicles
- human-machine interaction
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