Spatial Deep Deconvolution U-Net for Traffic Analyses With Distributed Acoustic Sensing-Reference-Cited by-同舟云学术

Spatial Deep Deconvolution U-Net for Traffic Analyses With Distributed Acoustic Sensing

Published:2024-02 Issue:2 Volume:25 Page:1913-1924
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Yuan Siyuan¹^ORCID,van den Ende Martijn²,Liu Jingxiao³^ORCID,Noh Hae Young⁴,Clapp Robert¹,Richard Cédric²^ORCID,Biondi Biondo¹^ORCID

Affiliation:

1. Department of Geophysics, Stanford University, Stanford, CA, USA

2. OCA, UMR Lagrange, Université Côte d’Azur, Nice, France

3. Department of Geophysics and the Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, USA

4. Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, USA

Funder

affiliates of the Stanford Exploration Project and the Stanford Sustainability Initiative and the United Parcel Service (UPS) Foundation Endowment Fund

French Government through the Interdisciplinary Institute for Artificial Intelligence (3IA) Côte d’Azur Investments in the Future Project

National Research Agency

Leavell Fellowship on Sustainable Built Environment at Stanford University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10419116/10280620.pdf?arnumber=10280620

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