Forest Fire Fighting Using Heterogeneous Ensemble of Unmanned Aerial Vehicles

Sherstjuk, Volodymyr; Zharikova, Maryna; Сокол, Ігор

doi:10.1109/apuavd47061.2019.8943826

Cited by 8 publications

(5 citation statements)

References 15 publications

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“…A survey [56] examining the current deployment of drone swarms in forest fires revealed that firefighters tended to allocate drones for information collection, such as monitoring fires and assessing their potential spread risks. Sherstjuk et al [62] introduced a drone swarm as a novel approach for responding to forest fires, while Ausonio et al [6] proposed a framework for organizing drone swarms more effectively in wild firefighting, adapting to changing water needs in various scenarios.…”

Section: Drones In Emergency Firefighting Responsementioning

confidence: 99%

Firefighters' Perceptions on Collaboration and Interaction with Autonomous Drones: Results of a Field Trial

Li,

Katsiuba,

Dolata

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Applications of drones in emergency response, like firefighting, have been promoted in the past decade. As the autonomy of drones continues to improve, the ways in which they are integrated into firefighting teams and their impact on crews are changing. This demands more understanding of how firefighters perceive and interact with autonomous drones. This paper presents a drone-based system for emergency operations with which firefighters can interact through sound, lights, and a graphical user interface. We use interviews with stakeholders collected in two field trials to explore their perceptions of the interaction and collaboration with drones. Our result shows that firefighters perceived visual interaction as adequate. However, for audio instructions and interfaces, information overload emerges as an essential problem. The potential impact of drones on current work configurations may involve shifting the position of humans closer to supervisory decision-makers and changing the training structure and content.

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Section: Drones In Emergency Firefighting Responsementioning

confidence: 99%

Firefighters' Perceptions on Collaboration and Interaction with Autonomous Drones: Results of a Field Trial

Li,

Katsiuba,

Dolata

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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show abstract

“…On the other hand, a Multi-Robot System (MRS) has been proposed in several studies to develop autonomous capabilities in forest firefighting [10], [21], [22], [31], [32], [33], [34], [35]. Based on the coordinated use of a team of UAVs, this technological solution creates a versatile tool capable of performing more complex tasks and improving the overall resilience, efficiency, and independence of the system.…”

Section: B Using Uavs For Forest Fire Suppression: Challenges and Lim...mentioning

confidence: 99%

Nature-Inspired Drone Swarming for Wildfires Suppression Considering Distributed Fire Spots and Energy Consumption

et al. 2023

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Wildfires are among the biggest problems faced worldwide. They are increasing in severity and frequency, causing economic losses, human death, and significant environmental damage. Environmental factors, such as wind and large forest areas, contribute to the fire spreading over multiple fire spots, all of which grow continuously, making fire suppression extremely difficult. Therefore, fire spots should be coverage simultaneously to contain the spread and prevent coalescence. Therefore, this study presents a new model based on the principles of nature-inspired metaheuristics that uses Swarm Intelligence (SI) to test the effectiveness of using an autonomous and decentralized behaviour for a swarm of Unmanned Aerial Vehicles (UAVs) or drones to detect all distributed fire spots and extinguishing them cooperatively. To achieve this goal, we used the improved random walk algorithm to explore the distributed fire spots and a self-coordination mechanism based on the stigmergy as an indirect communication between the swarm drones, taking into account the collision avoidance factor, the amount of extinguishing fluid, and the flight range of the drones. Numerical analysis and extensive simulations were performed to investigate the behaviour of the proposed methods and analyze their performance in terms of the area-coverage rate and total energy required by the drone swarm to complete the task. Our quantitative tests show that the improved model has the best coverage (95.3%, 84.3% and 65.8%, respectively) compared to two other methods Levy Flight (LF) algorithm and Particle Swarm Optimization (PSO), which use the same initial parameter values. The simulation results show that the proposed model performs better than its competitors and saves energy, especially in more complicated situations.

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“…[45,46] The release mechanism should allow the drone to hurl multiple balls while maintaining its stability. [47] poses a fleet of UAVs capable of tracking and extinguishing fires demonstrates the scalable nature of fire extinguishing systems based on drones that launch balloons. Several co-systems are being intended for firefighting tasks; instead of constructing drones equipped with the capabilities of aircraft, instead of using multiple light robotics, [48] proposes a drone fleet and [49] A drone swarm necessitates fleet coordination and algorithmic proposals to allocate targets among drones to reduce the path length of each drone.…”

Section: 3extinguishingmentioning

confidence: 99%

Enhancing Efficiency and Safety in Forest Firefighting: A Comprehensive Review of Drone Applications

Abdelraouf,

Abdellatif,

moawed

et al. 2023

Engineering Research Journal (Shoubra)

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Forests play a vital role in nature, purifying water, sustaining the land, cycling nutrients, regulating climate, and storing carbon. They also provide habitat for many species and contribute to economic wealth. This study involves an extensive survey of firefighters regarding the current issues facing their field of work and potential technology solutions. It also assesses the efforts made by the academy and businesses to use a variety of robot types for firefighting operations. The recommended technique consists of a few octa-copters that can not only visit waypoints and transport shipments on their own but can also carry out duties like monitoring, mapping, and observation. The three established operator positions task commanding officer, team leaders, and team members each have a unique information access role and mission-related duties. These operators make use of interfaces for virtual and augmented reality to easily gather scenario data and, in the instance of the mission chief, direct the drone swarm.

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Forest Fire Fighting Using Heterogeneous Ensemble of Unmanned Aerial Vehicles

Cited by 8 publications

References 15 publications

Firefighters' Perceptions on Collaboration and Interaction with Autonomous Drones: Results of a Field Trial

Firefighters' Perceptions on Collaboration and Interaction with Autonomous Drones: Results of a Field Trial

Nature-Inspired Drone Swarming for Wildfires Suppression Considering Distributed Fire Spots and Energy Consumption

Enhancing Efficiency and Safety in Forest Firefighting: A Comprehensive Review of Drone Applications

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