A Novelty Approach to Emulate Field Data Captured by Unmanned Aerial Vehicles for Training Deep Learning Algorithms Used for Search-and-Rescue Activities at Sea

Author:

Trong Tuan Do1,Tran Hai Quan1,Duc Nam Tran1,Trong Thanh Han1

Affiliation:

1. Hanoi University of Science and Technology,School of Electronics and Telecommunications,Department of Aerospace Electronics,Hanoi,Vietnam

Publisher

IEEE

Cited by 7 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. Empowering Search and Rescue Operations with Big Data Technology: A Comprehensive Study of YOLOv8 Transfer Learning for Transportation Safety;2023 IEEE International Conference on Big Data (BigData);2023-12-15

2. A Scheme of Autonomous Victim Search at Sea Based on Deep Learning Technique Using Cooperative Networked UAVs;2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS);2023-11-27

3. CNN classification subject to practical aspects of Search and Rescue UAV missions;2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI);2023-10-29

4. A Survey on Man Overboard Accident Search and Rescue Technology by Unmanned Aerial Vehicle;2023 35th Chinese Control and Decision Conference (CCDC);2023-05-20

5. A Novel Framework to Evaluate and Train Object Detection Models for Real-Time Victims Search and Rescue at Sea with Autonomous Unmanned Aerial Systems Using High-Fidelity Dynamic Marine Simulation Environment;2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW);2023-01

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