Proceedings ArticleDOI
Forest Fire-Fighting Monitoring System Based on UAV Team and Remote Sensing
Vladimir Sherstjuk,Maryna Zharikova,Igor Sokol +2 more
- pp 220-241
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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.read more
Citations
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A data-driven intelligent planning model for UAVs routing networks in mobile Internet of Things
TL;DR: A data-driven intelligent planning model for UAVs-RN under MIoT, is put forward and a case study is deeply investigated on real-world data to assess the proposed approach and suggest feasible planning schemes.
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A review on drones controlled in real-time
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Adaptive Differential Evolution-based Receding Horizon Control Design for Multi-UAV Formation Reconfiguration
TL;DR: This study evaluates the use of the adaptive differential evolution-based centralised receding horizon control approach to achieve the formation reconfiguration along a given formation group trajectory for multiple unmanned aerial vehicles in a three-dimensional (3D) environment.
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Fault-Tolerant Time-Varying Elliptical Formation Control of Multiple Fixed-Wing UAVs for Cooperative Forest Fire Monitoring
TL;DR: In this article, a fault-tolerant time-varying elliptical formation control scheme is developed for multiple UAVs to monitor the elliptical spread of forest fire.
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A Survey on Monitoring of Wild Animals during Fires Using Drones
TL;DR: In this article , the authors studied the possibility of using drones for monitoring large animals during forest fires and established that in order to use unmanned aerial vehicles to monitor even small groups of wild animals, effective unmanned remote sensing technologies in critical temperature conditions are required, which can be provided not only by the sensors used, but also by adapted software for image recognition.
References
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Journal ArticleDOI
Computer vision techniques for forest fire perception
TL;DR: Computer vision techniques for forest fire perception involving measurement of forest fire properties (fire front, flame height, flame inclination angle, fire base width) required for the implementation of advanced forest fire-fighting strategies are presented.
Journal ArticleDOI
Aerial Images-Based Forest Fire Detection for Firefighting Using Optical Remote Sensing Techniques and Unmanned Aerial Vehicles
TL;DR: A novel forest fire detection method using both color and motion features for processing images captured from the camera mounted on a UAV which is moving during the whole mission period is proposed.
Journal ArticleDOI
Bayesian model-based diagnosis
TL;DR: The resulting method integrates logical reasoning with probabilistic reasoning, and reasoning about the structure and behaviour of a system with reasoning by taking stochastic independence assumptions into account.
Journal ArticleDOI
Intelligent diagnosis systems
TL;DR: This paper examines and compares several different approaches to design of intelligent systems for diagnosis applications, including expert systems, truth (or reason) maintenance systems, case based reasoning systems, and inductive approaches like decision trees, neural networks, and statistical pattern classification systems.