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Streamlining Forest Wildfire Surveillance: AI-Enhanced UAVs Utilizing
  the FLAME Aerial Video Dataset for Lightweight and Efficient Monitoring

Streamlining Forest Wildfire Surveillance: AI-Enhanced UAVs Utilizing the FLAME Aerial Video Dataset for Lightweight and Efficient Monitoring

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
31 August 2024
Lemeng Zhao
Junjie Hu
Jianchao Bi
Yanbing Bai
Erick Mas
Shunichi Koshimura
ArXiv (abs)PDFHTMLGithub

Papers citing "Streamlining Forest Wildfire Surveillance: AI-Enhanced UAVs Utilizing the FLAME Aerial Video Dataset for Lightweight and Efficient Monitoring"

1 / 1 papers shown
Two-Stage Framework for Efficient UAV-Based Wildfire Video Analysis with Adaptive Compression and Fire Source Detection
Two-Stage Framework for Efficient UAV-Based Wildfire Video Analysis with Adaptive Compression and Fire Source Detection
Yanbing Bai
Rui-Yang Ju
Lemeng Zhao
Junjie Hu
Jianchao Bi
Erick Mas
Shunichi Koshimura
181
1
0
22 Aug 2025
1
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