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Related Experiment Video

Updated: Dec 23, 2025

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

Published on: March 27, 2013

Uncertainty-Aware Visual Perception System for Outdoor Navigation of the Visually Challenged.

George Dimas¹, Dimitris E Diamantis¹, Panagiotis Kalozoumis¹

¹Department. of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece.

Sensors (Basel, Switzerland)

|April 26, 2020

Summary

This summary is machine-generated.

This study introduces a wearable visual perception system (VPS) to aid visually challenged people (VCP) in outdoor navigation. The system uses AI for obstacle detection and linguistic descriptions, enhancing safe mobility.

Keywords:

fuzzy sets image analysis machine learning navigation visually challenged

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Area of Science:

Computer Science
Artificial Intelligence
Robotics

Background:

Visually challenged people (VCP) experience significant mobility and accessibility limitations in daily life.
Outdoor navigation presents unique challenges for VCP, impacting independence and safety.

Purpose of the Study:

To propose a novel wearable visual perception system (VPS) for enhancing outdoor navigation for VCP.
To develop an AI-driven system for robust obstacle detection and risk assessment.
To provide users with descriptive linguistic feedback for intuitive environmental understanding.

Main Methods:

Integration of deep learning and object recognition models within a wearable VPS.
Utilization of Generative Adversarial Networks (GANs) for eye fixation-based obstacle detection.
Implementation of uncertainty-aware fuzzy logic for obstacle risk assessment and spatial localization.

Main Results:

The proposed system effectively detects and localizes obstacles in outdoor environments.
Linguistic expressions are generated to describe obstacle positions and types for user comprehension.
Performance evaluation demonstrates the system's capability for safe navigation in culturally significant outdoor settings.

Conclusions:

The developed wearable VPS offers a promising solution for improving the mobility and independence of VCP.
The AI-powered obstacle detection and linguistic feedback mechanism enhance user safety and environmental awareness.
Comparative analysis indicates favorable design and user-requirement satisfaction compared to existing systems.