The impact of AR-HUD lane enhancement on lateral control performance under fog conditions

This study investigates the impact of Augmented Reality Head-Up Display (AR-HUD) lane enhancement system on lateral control performance in fog conditions. Using Unity-based simulations, a controlled, immersive driving scenario in fog was created to assess the impact of the AR-HUD system on lateral control performance. Participants drove on a curved road in a foggy environment while their lateral control metrics, specifically steering speed (SS) and standard deviation of lateral position (SDLP), were monitored. The results showed that the AR-HUD system significantly reduced SS and SDLP in all driving segments, demonstrating improved steering accuracy and stability. Notably, the most significant improvements were observed during the initial phase when foggy conditions were encountered, i.e., the Approach Segment, highlighting the utility of the AR-HUD when transitioning to low visibility conditions.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1117/12.3054840
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
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article

The impact of AR-HUD lane enhancement on lateral control performance under fog conditions

Xiaohua Zhao, Qiuyang Tang, Haolin Chen, Peng Deng et al.
Autonomous Vehicle Technology and Safety
article

The impact of AR-HUD lane enhancement on lateral control performance under fog conditions

Xiaohua Zhao, Qiuyang Tang, Haolin Chen, Peng Deng, Ming‐Hua Zeng, Yu Zhang, Yu Duan, Yuchen Jia
article en

Abstract

This study investigates the impact of Augmented Reality Head-Up Display (AR-HUD) lane enhancement system on lateral control performance in fog conditions. Using Unity-based simulations, a controlled, immersive driving scenario in fog was created to assess the impact of the AR-HUD system on lateral control performance. Participants drove on a curved road in a foggy environment while their lateral control metrics, specifically steering speed (SS) and standard deviation of lateral position (SDLP), were monitored. The results showed that the AR-HUD system significantly reduced SS and SDLP in all driving segments, demonstrating improved steering accuracy and stability. Notably, the most significant improvements were observed during the initial phase when foggy conditions were encountered, i.e., the Approach Segment, highlighting the utility of the AR-HUD when transitioning to low visibility conditions.

Beijing University of Technology (CN), China Automotive Engineering Research Institute (CN)
Openalex Percentile: Top 74%
Autonomous Vehicle Technology and Safety
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