Dual Stream Meta Learning for Road Surface Classification and Riding Event Detection on Shared Bikes-Reference-Cited by-同舟云学术

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Dual Stream Meta Learning for Road Surface Classification and Riding Event Detection on Shared Bikes

Published:2023-11 Issue:11 Volume:53 Page:7188-7200
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Jiang Shuo¹^ORCID,Strout Zach²,He Bin¹^ORCID,Peng Daiyan²,Shull Peter B.²^ORCID,Lo Benny P. L.³^ORCID

Affiliation:

1. College of Electronics and Information Engineering, Tongji University, Shanghai, China

2. State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China

3. Department of Surgery and Cancer, Imperial College London, London, U.K.

Funder

National Natural Science Foundation of China

Shanghai Municipal Science and Technology Major Project

Shanghai Sailing Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/10286437/10208142.pdf?arnumber=10208142

Reference53 articles.

1. Metrology and visualization of potholes using the microsoft kinect sensor

2. Pothole Properties Measurement through Visual 2D Recognition and 3D Reconstruction

3. Method for Automated Assessment of Potholes, Cracks and Patches from Road Surface Video Clips

4. A low-cost video-based pavement distress screening system for low-volume roads

5. Federated Learning: Challenges, Methods, and Future Directions

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