ArcSE: A Dual-Branch Semantic Segmentation Model for Robust Pantograph–Catenary Arcing Detection in Complex Environments

Wei Quan,Shibin Gao,Xiaolin Liu,Xiaoqian Xu,Xiaoyu Wang

doi:10.1109/tim.2024.3522705

ArcSE: A Dual-Branch Semantic Segmentation Model for Robust Pantograph–Catenary Arcing Detection in Complex Environments

Wei Quan, Shibin Gao + Show 3 more

https://doi.org/10.1109/tim.2024.3522705

Copy DOI

Export

Save

Cite

Journal: IEEE Transactions on Instrumentation and Measurement

Publication Date: Jan 1, 2025

#Detection In Complex Environments #Complex Environments #Semantic Model #Semantic Segmentation Model #Pantograph Catenary #Arcing Detection #Semantic Segmentation #Segmentation Model

Abstract
Full-Text
Similar Papers

Abstract

Listen

ArcSE: A Dual-Branch Semantic Segmentation Model for Robust Pantograph–Catenary Arcing Detection in Complex Environments

Full Text

Published Version

Check institute access

Open DOI Link

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Similar Papers

Paper Title

Journal

Date

Author

View more papers

More From: IEEE Transactions on Instrumentation and Measurement

Paper Title

Journal

Date

Author

View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.

R Discovery Prime

ArcSE: A Dual-Branch Semantic Segmentation Model for Robust Pantograph–Catenary Arcing Detection in Complex Environments