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Main Authors: Yao, Fulong, Zhou, Wenju, Hu, Huosheng
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2505.14298
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author Yao, Fulong
Zhou, Wenju
Hu, Huosheng
author_facet Yao, Fulong
Zhou, Wenju
Hu, Huosheng
contents Visually impaired individuals rely heavily on accurate and timely information about obstacles and their surrounding environments to achieve independent living. In recent years, significant progress has been made in the development of assistive technologies, particularly vision-based systems, that enhance mobility and facilitate interaction with the external world in both indoor and outdoor settings. This paper presents a comprehensive review of recent advances in assistive systems designed for the visually impaired, with a focus on state-of-the-art technologies in obstacle detection, navigation, and user interaction. In addition, emerging trends and future directions in visual guidance systems are discussed.
format Preprint
id arxiv_https___arxiv_org_abs_2505_14298
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Review of Vision-Based Assistive Systems for Visually Impaired People: Technologies, Applications, and Future Directions
Yao, Fulong
Zhou, Wenju
Hu, Huosheng
Computer Vision and Pattern Recognition
Visually impaired individuals rely heavily on accurate and timely information about obstacles and their surrounding environments to achieve independent living. In recent years, significant progress has been made in the development of assistive technologies, particularly vision-based systems, that enhance mobility and facilitate interaction with the external world in both indoor and outdoor settings. This paper presents a comprehensive review of recent advances in assistive systems designed for the visually impaired, with a focus on state-of-the-art technologies in obstacle detection, navigation, and user interaction. In addition, emerging trends and future directions in visual guidance systems are discussed.
title A Review of Vision-Based Assistive Systems for Visually Impaired People: Technologies, Applications, and Future Directions
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2505.14298