Weather-aware object detection method for maritime surveillance systems-Reference-Cited by-同舟云学术

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Weather-aware object detection method for maritime surveillance systems

Published:2024-02 Issue: Volume:151 Page:111-123
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Chen Mingkang^ORCID,Sun Jingtao,Aida Kento,Takefusa Atsuko

Funder

National Institute of Informatics

Georgia Institute of Technology

Tokyo University of Marine Science and Technology

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference52 articles.

1. The Causes of Maritime Accidents in the Period 2002–2016;Acejo,2018

2. Ship detection based on deep learning;Wang,2019

3. ShipYolo: an enhanced model for ship detection;Han;J. Adv. Transp.,2021

4. Risk assessment of the operations of maritime autonomous surface ships;Chang;Reliab. Eng. Syst. Saf.,2021

5. Intelligent live video streaming for object detection;Chen,2021

Cited by 4 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. Synthetic Data-Driven Real-Time Detection Transformer Object Detection in Raining Weather Conditions;Applied Sciences;2024-06-05

2. Internet of Traffic Surveillance System (IoTSS) With Genetic Algorithm for Optimized Weather-Adaptive Traffic Monitoring;Advances in Computational Intelligence and Robotics;2024-05-14

3. A Ship Detection Model Based on Dynamic Convolution and an Adaptive Fusion Network for Complex Maritime Conditions;Sensors;2024-01-28

4. Evaluation of Contemporary UAV-Based Measurement Techniques for Gas Emissions Monitoring;Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics;2023-11-24

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