Summary of A Comprehensive Survey Of Research Towards Ai-enabled Unmanned Aerial Systems in Pre-, Active-, and Post-wildfire Management, by Sayed Pedram Haeri Boroujeni et al.
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
by Sayed Pedram Haeri Boroujeni, Abolfazl Razi, Sahand Khoshdel, Fatemeh Afghah, Janice L. Coen, Leo ONeill, Peter Z. Fule, Adam Watts, Nick-Marios T. Kokolakis, Kyriakos G. Vamvoudakis
First submitted to arxiv on: 4 Jan 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents a comprehensive review of recent state-of-the-art technologies in wildfire management, focusing on the application of Artificial Intelligence (AI)-enabled Unmanned Aerial Vehicles (UAVs) across multiple stages. It emphasizes advancements in UAV systems and AI models from pre-fire to post-fire management, analyzing existing remote sensing systems, fuel monitoring, prevention strategies, evacuation planning, damage assessment, and operation strategies. The review also summarizes computer vision techniques using Machine Learning (ML), Reinforcement Learning (RL), and Deep Learning (DL) algorithms for wildfire classification, segmentation, detection, and monitoring tasks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Wildfires are devastating natural disasters that cause significant losses in human lives and wildlife. To manage these disasters effectively, researchers have been exploring the use of Artificial Intelligence (AI) with Unmanned Aerial Vehicles (UAVs). This paper reviews recent advancements in AI-enabled UAV systems and their impact on wildfire management. |
Keywords
* Artificial intelligence * Classification * Deep learning * Machine learning * Reinforcement learning
