AiOENet: All-in-One Low-Visibility Enhancement to Improve Visual Perception for Intelligent Marine Vehicles Under Severe Weather Conditions-Reference-Cited by-同舟云学术

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AiOENet: All-in-One Low-Visibility Enhancement to Improve Visual Perception for Intelligent Marine Vehicles Under Severe Weather Conditions

Published:2023 Issue: Volume: Page:1-16
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Liu Ryan Wen¹,Lu Yuxu²,Guo Yu¹,Ren Wenqi³,Zhu Fenghua⁴,Lv Yisheng⁴

Affiliation:

1. School of Navigation, Wuhan University of Technology, Wuhan, China

2. Department of Logistics and Maritime Studies, Hong Kong Polytechnic University, Hong Kong

3. School of Cyber Science and Technology, Sun Yat-sen University, Shenzhen, China

4. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/7448921/10375786.pdf?arnumber=10375786

Cited by 6 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. An efficient model for small object detection in the maritime environment;Applied Ocean Research;2024-11

2. Low‐light visibility enhancement for improving visual surveillance in intelligent waterborne transportation systems;IET Intelligent Transport Systems;2024-07-16

3. Self-Aware Adaptive Alignment: Enabling Accurate Perception for Intelligent Transportation Systems;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

4. 4D mmWave Radar for Autonomous Driving Perception: A Comprehensive Survey;IEEE Transactions on Intelligent Vehicles;2024-04

5. Multi-Class Road Target Detection Based on Multi-Gradient Flow Residual Structure;IEEE Journal of Radio Frequency Identification;2024

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