A Review of Vision-Based Assistive Systems for Visually Impaired People: Technologies, Applications, and Future Directions

TL;DR

This paper reviews recent advances in vision-based assistive systems for the visually impaired, highlighting technologies in obstacle detection, navigation, and interaction, and discusses future trends in the field.

Contribution

It provides a comprehensive overview of current technologies and emerging trends in assistive vision systems for the visually impaired, identifying key challenges and future directions.

Findings

Significant progress in obstacle detection and navigation technologies.

Emerging trends include integration of AI and machine learning.

Future directions focus on improved user interaction and system robustness.

Abstract

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.