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用于室内导航和日常活动的视觉障碍空间感知系统。

Visual Impairment Spatial Awareness System for Indoor Navigation and Daily Activities.

作者信息

Yu Xinrui, Saniie Jafar

机构信息

Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA.

出版信息

J Imaging. 2025 Jan 4;11(1):9. doi: 10.3390/jimaging11010009.

DOI:10.3390/jimaging11010009
PMID:39852322
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11766877/
Abstract

The integration of artificial intelligence into daily life significantly enhances the autonomy and quality of life of visually impaired individuals. This paper introduces the Visual Impairment Spatial Awareness (VISA) system, designed to holistically assist visually impaired users in indoor activities through a structured, multi-level approach. At the foundational level, the system employs augmented reality (AR) markers for indoor positioning, neural networks for advanced object detection and tracking, and depth information for precise object localization. At the intermediate level, it integrates data from these technologies to aid in complex navigational tasks such as obstacle avoidance and pathfinding. The advanced level synthesizes these capabilities to enhance spatial awareness, enabling users to navigate complex environments and locate specific items. The VISA system exhibits an efficient human-machine interface (HMI), incorporating text-to-speech and speech-to-text technologies for natural and intuitive communication. Evaluations in simulated real-world environments demonstrate that the system allows users to interact naturally and with minimal effort. Our experimental results confirm that the VISA system efficiently assists visually impaired users in indoor navigation, object detection and localization, and label and text recognition, thereby significantly enhancing their spatial awareness and independence.

摘要

将人工智能融入日常生活可显著提高视障人士的自主性和生活质量。本文介绍了视障空间感知（VISA）系统，该系统旨在通过结构化的多层次方法，全面协助视障用户进行室内活动。在基础层面，该系统采用增强现实（AR）标记进行室内定位，利用神经网络进行高级目标检测和跟踪，并使用深度信息进行精确的目标定位。在中间层面，它整合这些技术的数据，以协助完成诸如避障和路径查找等复杂的导航任务。高级层面综合这些能力以增强空间感知，使用户能够在复杂环境中导航并找到特定物品。VISA系统展示了一个高效的人机界面（HMI），它结合了文本转语音和语音转文本技术，实现自然且直观的交流。在模拟真实环境中的评估表明，该系统允许用户自然地进行交互，且付出的努力最小。我们的实验结果证实，VISA系统有效地协助视障用户进行室内导航、目标检测与定位以及标签和文本识别，从而显著提高他们的空间感知和独立性。

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