Surface Recognition from Wheelchair-induced Noisy Vibration Data: A Tale of Many Cities-Reference-Cited by-同舟云学术

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Surface Recognition from Wheelchair-induced Noisy Vibration Data: A Tale of Many Cities

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 18th International Conference on Mobility, Sensing and Networking (MSN)
language:
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Author:

Banerjee Rochishnu¹,Islam Md Fourkanul²,Saha Shaswati²,Raychoudhury Vaskar¹,Gani Md Osman²

Affiliation:

1. Miami University,Department of Computer Science & Software Engineering,Oxford,OH,USA

2. University of Maryland Baltimore County,Department of Information Systems,Baltimore,MD,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10076543/10076544/10076589.pdf?arnumber=10076589

Reference28 articles.

1. RouteCheckr

2. Use of highly accurate GPS in network-based barrier free street map creation system

3. Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks

4. U-Access: a web-based system for routing pedestrians of differing abilities

5. Collective Awareness for Human-ICT Collaboration in Smart Cities

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MyPath: Accessible Route Generation Using Crowd-Sensed Surface Information;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

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