A Joint Ship Detection and Waterway Segmentation Method for Environment-Aware of USVs in Canal Waterways-Reference-Cited by-同舟云学术

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A Joint Ship Detection and Waterway Segmentation Method for Environment-Aware of USVs in Canal Waterways

Published:2024 Issue: Volume: Page:1-13
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Yang Xiaofei¹^ORCID,She Hongwei¹,Lou Mengmeng¹^ORCID,Ye Hui¹^ORCID,Guan Jun¹^ORCID,Li Jianzhen¹^ORCID,Xiang Zhengrong²^ORCID,Shen Hao³,Zhang Bin⁴^ORCID

Affiliation:

1. School of Automation, Jiangsu University of Science and Technology, Zhenjiang, China

2. School of Automation, Nanjing University of Science and Technology, Nanjing, China

3. School of Electrical and Information Engineering, Anhui University of Technology, Maanshan, China

4. Department of Electrical Engineering, University of South Carolina, Columbia, SC, USA

Funder

National Natural Science Foundation of China

Basic Strengthening Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8856/4358066/10472968.pdf?arnumber=10472968

Cited by 3 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. Deep reinforcement learning with intrinsic curiosity module based trajectory tracking control for USV;Ocean Engineering;2024-09

2. A method for detecting navigable areas in narrow rivers under complex reflection conditions;Engineering Reports;2024-07-07

3. DDSNet: Deep Dual-Branch Networks for Surface Defect Segmentation;IEEE Transactions on Instrumentation and Measurement;2024

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