The challenges and future of navigation for people with disabilities

Author:

Zhou Jialong1,Qiu Chen2,Guo Bin3,Yu Zhiwen4

Affiliation:

1. Northwestern Polytechnical University (China)

2. Michigan State University (USA), Northwestern Polytechnical University (China)

3. Keko University (Japan), Northwestern Polytechnical University (China)

4. Northwestern Polytechnical University (China), Northwestern Polytechnical University

Abstract

People with disabilities can pervasively obtain navigation services based on modern machine learning and 5G techniques.

Publisher

Association for Computing Machinery (ACM)

Subject

General Medicine

Reference14 articles.

1. A Survey of Indoor Localization Systems and Technologies

2. Long-Range Indoor Navigation With PRM-RL

3. An Outdoor Navigation System for Blind Pedestrians Using GPS and Tactile-Foot Feedback

4. Myers , A. Stanford researchers build $400 self-navigating smart cane . Stanford University Human-Centered Artificial Intelligence . October 13, 2021 ; https://hai.stanford.edu/news/stanford-researchers-build-400-self-navigating-smart-cane Myers, A. Stanford researchers build $400 self-navigating smart cane. Stanford University Human-Centered Artificial Intelligence. October 13, 2021; https://hai.stanford.edu/news/stanford-researchers-build-400-self-navigating-smart-cane

5. ViNav: A Vision-based indoor navigation system for smartphones;Dong J.;IEEE Transactions on Mobile Computing.,2018

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1. A Survey on Scalable Wireless Indoor Localization: Techniques, Approaches and Directions;Wireless Personal Communications;2024-06

2. OBLoc: Online Batch Localization for Large-Scale Indoor Environments;IEEE Systems Journal;2023

3. Vibrotactile Navigation for Visually Impaired People;The 24th International ACM SIGACCESS Conference on Computers and Accessibility;2022-10-22

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