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Blind and visually impaired individuals face daily challenges in navigating autonomously in unfamiliar urban or domestic environments. Navigation poses critical challenges as obstacles and dangerous objects can compromise their safety and autonomy. Assistive technologies for visually impaired users have evolved to facilitate interaction with a complex and dynamic world, offering increasingly promising solutions. This work presents a wearable computer vision system implemented on a Raspberry Pi 4, utilizing an Intel RealSense D415 camera, capable of detecting and classifying objects and obstacles while estimating and verbally indicating their distance in real time, thus enhancing user autonomy and safety.

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A Wearable Stereo Vision-Based Obstacle Detection System for Visually Impaired Individuals

  • 会议论文

  • 发表日期：

    2025年

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  • Andrea Ruo,
  • Dario Napolitano,
  • Valeria Villani

摘要

Blind and visually impaired individuals face daily challenges in navigating autonomously in unfamiliar urban or domestic environments. Navigation poses critical challenges as obstacles and dangerous objects can compromise their safety and autonomy. Assistive technologies for visually impaired users have evolved to facilitate interaction with a complex and dynamic world, offering increasingly promising solutions. This work presents a wearable computer vision system implemented on a Raspberry Pi 4, utilizing an Intel RealSense D415 camera, capable of detecting and classifying objects and obstacles while estimating and verbally indicating their distance in real time, thus enhancing user autonomy and safety.