Evaluating the efficacy of UNav: A computer vision-based navigation aid for persons with blindness or low vision-Reference-Cited by-同舟云学术

Evaluating the efficacy of UNav: A computer vision-based navigation aid for persons with blindness or low vision

Published:2024-08-13 Issue: Volume: Page:1-15
ISSN:1040-0435
Container-title:Assistive Technology
language:en
Short-container-title:Assistive Technology

Author:

Yang Anbang¹,Tamkittikhun Nattachart²,Hamilton-Fletcher Giles³⁴,Ramdhanie Vinay⁵,Vu Thu⁶,Beheshti Mahya³,Hudson Todd³,Riewpaiboon Wachara⁷,Mongkolwat Pattanasak²,Feng Chen¹,Rizzo John-Ross¹³⁵⁷

Affiliation:

1. Department of Mechanical and Aerospace Engineering, NYU Tandon School of Engineering, Brooklyn, New York, USA

2. Faculty of Information and Communication Technology, Mahidol University, Nakhon Pathom, Thailand

3. Department of Rehabilitation Medicine, NYU Grossman School of Medicine, New York, New York, USA

4. Department of Ophthalmology, NYU Grossman School of Medicine, New York, New York, USA

5. Department of Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, New York, USA

6. Department of Computer Science and Engineering, NYU Tandon School of Engineering, Brooklyn, New York, USA

7. Ratchasuda Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Nakhon Pathom, Thailand

Funder

National Science Foundation

National Institutes of Health

National Institutes of Health and the National Science Foundation

Mahidol University and the Office of the Ministry

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10400435.2024.2382113

Reference74 articles.

1. NavCog

2. Electronic Travel Aids: An Assessment

3. Universal real-time navigational assistance (URNA)

4. Macro-Fiber Composite-Based Tactors for Haptic Applications