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Related Experiment Video

Updated: Nov 27, 2025

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

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Published on: March 27, 2013

An Indoor Navigation App using Computer Vision and Sign Recognition.

Giovanni Fusco¹, Seyed Ali Cheraghi¹, Leo Neat²

¹The Smith-Kettlewell Eye Research Institute, San Francisco, CA.

Computers Helping People with Special Needs : ... International Conference, ICCHP ... : Proceedings. International Conference on Computers Helping People with Special Needs

|December 2, 2020

Summary

This summary is machine-generated.

This study presents an accessible iOS app for indoor navigation, aiding visually impaired individuals. The app uses computer vision and visual-inertial odometry for real-time, turn-by-turn directions, enhancing independent mobility.

Keywords:

Accessibility Blindness Low Vision Navigation Visual Impairment Wayfinding

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Area of Science:

Computer Vision
Human-Computer Interaction
Assistive Technology

Background:

Visually impaired individuals face significant challenges with indoor navigation due to the lack of visual cues.
Existing navigation aids often do not adequately address the complexities of indoor environments.

Purpose of the Study:

To develop and describe an accessible iOS application for indoor wayfinding for people with visual impairments.
To enhance the real-time localization and direction-giving capabilities for visually impaired users.

Main Methods:

A computer vision-based localization approach combining visual-inertial odometry (VIO) with informational sign detection and map constraints.
Development of an iOS application providing turn-by-turn directions.
Improvements to sign detection and range estimation algorithms for accurate localization.

Main Results:

The developed app provides real-time, turn-by-turn navigation assistance.
The localization approach effectively integrates VIO with environmental cues like Exit signs.
Enhanced algorithms improve the accuracy of sign detection and distance estimation.

Conclusions:

The created iOS app offers a viable solution for indoor navigation challenges faced by the visually impaired.
The integrated localization method provides a robust foundation for accessible wayfinding systems.
Further development can significantly improve independent mobility for visually impaired individuals.