AI co-driver and AR integration for dynamic emergency navigation and collision avoidance

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.

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The UWS Academic Portal
Published
2025-12-19
Primary Topic
Human-Automation Interaction and Safety
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article
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article

AI co-driver and AR integration for dynamic emergency navigation and collision avoidance

Ramesh Lagoo, Samar Altarteer, Vassilis Charissis, Soheeb; id_orcid 0009-0009-1410-7072 Khan
The UWS Academic Portal
Human-Automation Interaction and Safety
article

AI co-driver and AR integration for dynamic emergency navigation and collision avoidance

Ramesh Lagoo, Samar Altarteer, Vassilis Charissis, Soheeb; id_orcid 0009-0009-1410-7072 Khan
article en

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.

The UWS Academic Portal
Edinburgh Napier University (GB), Dar Al-Hekma University (SA)
Openalex Percentile: Top 17%
Human-Automation Interaction and Safety
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AI co-driver and AR integration for dynamic emergency navigation and collision avoidance — Ramesh Lagoo, Samar Altarteer, et al. · The UWS Academic Portal (2025) | TGRS Research Map | TGRS