A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning-Reference-Cited by-同舟云学术

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A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning

Published:2023 Issue: Volume: Page:1-13
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Ma Yuntao¹^ORCID,Ghanbari Hiva²,Huang Tianyuan³,Irvin Jeremy⁴,Brady Oliver⁴,Zalouk Sofian⁴,Sheng Hao⁴,Ng Andrew⁴,Rajagopal Ram⁵^ORCID,Narsude Mayur²

Affiliation:

1. Department of Electrical Engineering, Stanford University, Stanford, CA, USA

2. Global Data Insights and Analytics, Ford Motor Company, Dearborn, MI, USA

3. Department of Civil Engineering, Stanford University, Stanford, CA, USA

4. Department of Computer Science, Stanford University, Stanford, CA, USA

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

Funder

Ford Motor Company

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/10337735.pdf?arnumber=10337735

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