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Author:

Zeng, Mengjin (Zeng, Mengjin.) | Tang, Qiuyang (Tang, Qiuyang.) | Deng, Pingping (Deng, Pingping.) | Jia, Yuchen (Jia, Yuchen.) | Zhang, Yu (Zhang, Yu.) | Chen, Haolin (Chen, Haolin.) | Yu, Duan (Yu, Duan.) | Zhao, Xiaohua (Zhao, Xiaohua.)

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EI

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. © 2024 SPIE.

Keyword:

Augmented reality Laser beams Head-up displays Helmet mounted displays Automobile driver simulators

Author Community:

  • [ 1 ] [Zeng, Mengjin]Electronic Communication and Software Evaluation Research Center, China Automotive Engineering Research institute Co., Ltd., 9 Jinyu Ave., Yubei District, Chongqing; 401120, China
  • [ 2 ] [Tang, Qiuyang]Electronic Communication and Software Evaluation Research Center, China Automotive Engineering Research institute Co., Ltd., 9 Jinyu Ave., Yubei District, Chongqing; 401120, China
  • [ 3 ] [Deng, Pingping]Electronic Communication and Software Evaluation Research Center, China Automotive Engineering Research institute Co., Ltd., 9 Jinyu Ave., Yubei District, Chongqing; 401120, China
  • [ 4 ] [Jia, Yuchen]Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, 100 Pingleyuan Rd., Chaoyang District, Beijing; 100124, China
  • [ 5 ] [Zhang, Yu]Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, 100 Pingleyuan Rd., Chaoyang District, Beijing; 100124, China
  • [ 6 ] [Chen, Haolin]Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, 100 Pingleyuan Rd., Chaoyang District, Beijing; 100124, China
  • [ 7 ] [Yu, Duan]Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, 100 Pingleyuan Rd., Chaoyang District, Beijing; 100124, China
  • [ 8 ] [Zhao, Xiaohua]Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, 100 Pingleyuan Rd., Chaoyang District, Beijing; 100124, China

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ISSN: 0277-786X

Year: 2024

Volume: 13421

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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