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Proceedings ArticleDOI

Forest Fire-Fighting Monitoring System Based on UAV Team and Remote Sensing

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TLDR
The authors present the three-level architecture of the multi-UAV-based forest firefighting monitoring system; features of patrolling, confirming, and monitoring missions; as well as functions of UAV in such missions.
Abstract
This work presents a monitoring system for tactical forest fire-fighting operations based on a team of unmanned aerial vehicles and remote sensing techniques. Functions and missions of the system, as well as its architecture, are considered. Image processing and remote sensing algorithms are presented, a way for data integration into a fire-spreading model in a real-time forest fire response decision support system is proposed. The combination of automatic monitoring and remote sensing techniques with an approximate fire-spreading model can provide required credibility and efficiency of fire prediction and response.

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Citations
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Proceedings ArticleDOI

Forest Fire Fighting Using Heterogeneous Ensemble of Unmanned Aerial Vehicles

TL;DR: A novel approach to forest fight fighting using a heterogeneous ensemble of unmanned aerial vehicles of different types, which can perform patrol, confirmation, monitoring, and extinguishing missions is presented.
Journal ArticleDOI

Forest Fire Identification in UAV Imagery Using X-MobileNet

TL;DR: In this paper , a cheaper UAV with extended MobileNet deep learning capability is proposed to classify forest fires (97.26%) and share the detection of forest fires and the GPS location with the state forest departments for timely action.

Heterogeneous Hybrid Neural Network for Modeling Spatially Distributed Destructive Processes.

TL;DR: The method of modeling spatial distributed destructive processes using the proposed hybrid neural networks is presented and is intended for modeling dynamic systems with different types of simultaneously arising interacting processes with respect to their spatiotemporal aspects.
Journal ArticleDOI

Wildfire detection in large-scale environments using force-based control for swarms of UAVs

TL;DR: In this article , the authors explore in simulation the use of swarms of uncrewed aerial vehicles (UAVs) with long autonomy that can cover large areas the size of California to detect early stage wildfires.
Proceedings ArticleDOI

Plannie: A Benchmark Framework for Autonomous Robots Path Planning Algorithms Integrated to Simulated and Real Environments

TL;DR: This paper presents Plannie, a framework to develop, simulate, benchmark, and test path planning algorithms in 2D and 3D environments in the real world, and supports many path planner algorithms, such as classic, metaheuristic, and machine learning.
References
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Book

Fuzzy sets

TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
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Rough sets

TL;DR: This approach seems to be of fundamental importance to artificial intelligence (AI) and cognitive sciences, especially in the areas of machine learning, knowledge acquisition, decision analysis, knowledge discovery from databases, expert systems, decision support systems, inductive reasoning, and pattern recognition.
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A primer on neural network models for natural language processing

TL;DR: This tutorial surveys neural network models from the perspective of natural language processing research, in an attempt to bring natural-language researchers up to speed with the neural techniques.
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Automatic analysis of malware behavior using machine learning

TL;DR: An incremental approach for behavior-based analysis, capable of processing the behavior of thousands of malware binaries on a daily basis is proposed, significantly reduces the run-time overhead of current analysis methods, while providing accurate discovery and discrimination of novel malware variants.
Journal ArticleDOI

A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques

TL;DR: Technologies related to UAV forest fire monitoring, detection, and fighting are briefly reviewed, including those associated with fire detection, diagnosis, and prognosis, image vibration elimination, and cooperative control of UAVs.
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