CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People-Reference-Cited by-同舟云学术

CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People

Published:2022 Issue: Volume:10 Page:14819-14834
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ashiq Fahad^ORCID,Asif Muhammad^ORCID,Ahmad Maaz Bin,Zafar Sadia,Masood Khalid,Mahmood Toqeer^ORCID,Mahmood Muhammad Tariq^ORCID,Lee Ik Hyun^ORCID

Funder

National Research Foundation of Korea (NRF) Grant by the Korean Government through the Ministry of Science and ICT

Basic Science Research Program through the National Research Foundation of Korea (NRF) by the Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09698080.pdf?arnumber=9698080

Reference65 articles.

1. IoT Enabled Automated Object Recognition for the Visually Impaired

2. Design and Implementation of an Intelligent Assistive System for Visually Impaired People for Aerial Obstacle Avoidance and Fall Detection

3. X-EYE: A Bio-smart Secure Navigation Framework for Visually Impaired People

4. Obstacle and Fall Detection to Guide the Visually Impaired People with Real Time Monitoring

5. Autonomous Path Guiding Robot for Visually Impaired People

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