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This paper adopts YOLOv8, a cutting-edge deep learning networks, to segment road scenes, identify and enhance roadside, stairs, and tactile paving, and display improved road signs and Tactile paving through AR glasses. Key to the visual guidance system is the accurate identification and positioning of road signs, allowing for the enlargement or color highlighting of these signs, and providing auditory prompts to the user. This multi-modal approach aims to mitigate the effects of visual impairments, thereby enhancing the travel experience and safety for individuals with low vision.

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Vision Enhancement System with AR Wearable Aid for Low-Vision People

  • 会议论文

  • 发表日期：

    2025年

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  • Jing-Hong Chen,
  • Chien -Chou Lin

摘要

This paper adopts YOLOv8, a cutting-edge deep learning networks, to segment road scenes, identify and enhance roadside, stairs, and tactile paving, and display improved road signs and Tactile paving through AR glasses. Key to the visual guidance system is the accurate identification and positioning of road signs, allowing for the enlargement or color highlighting of these signs, and providing auditory prompts to the user. This multi-modal approach aims to mitigate the effects of visual impairments, thereby enhancing the travel experience and safety for individuals with low vision.