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:
Affiliation:
1. Hanoi University of Science and Technology,School of Electronics and Telecommunications,Department of Aerospace Electronics,Hanoi,Vietnam
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9352035/9352036/09352109.pdf?arnumber=9352109
Cited by 8 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. Development of a Deep-Learning Model with Maritime Environment Simulation for Detection of Distress Ships from Drone Images;KOREAN J REMOTE SENS;2023
3. 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
4. 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
5. 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
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