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

Sherstjuk, Volodymyr; Zharikova, Maryna; Сокол, Ігор

doi:10.1109/elnano.2018.8477527

Cited by 58 publications

(28 citation statements)

References 4 publications

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“…The drones track the evolution of fires, which can be stationary, moving, and moving/spreading, and a human safety module detects if there are humans close to fire spots. Moreover, ref [52] three types of drones to perform patrolling, confirmation, and monitoring tasks, as well as a fire-spreading model to use the information collected from the fires to predict their behavior.…”

Section: Extinguishingmentioning

confidence: 99%

A Survey on Robotic Technologies for Forest Firefighting: Applying Drone Swarms to Improve Firefighters’ Efficiency and Safety

2021

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Forest firefighting missions encompass multiple tasks related to prevention, surveillance, and extinguishing. This work presents a complete survey of firefighters on the current problems in their work and the potential technological solutions. Additionally, it reviews the efforts performed by the academy and industry to apply different types of robots in the context of firefighting missions. Finally, all this information is used to propose a concept of operation for the comprehensive application of drone swarms in firefighting. The proposed system is a fleet of quadcopters that individually are only able to visit waypoints and use payloads, but collectively can perform tasks of surveillance, mapping, monitoring, etc. Three operator roles are defined, each one with different access to information and functions in the mission: mission commander, team leaders, and team members. These operators take advantage of virtual and augmented reality interfaces to intuitively get the information of the scenario and, in the case of the mission commander, control the drone swarm.

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Section: Extinguishingmentioning

confidence: 99%

A Survey on Robotic Technologies for Forest Firefighting: Applying Drone Swarms to Improve Firefighters’ Efficiency and Safety

2021

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“…In [9] the researchers stated that the main requirements for such a system can be considered in all-weather suitability, in the mean of day and night functionality, selflocalization using a common terrain reference model for automatic geo-localization, navigational autonomy by using GPS and IMU, cooperation behavior with other UAVs, gathering the payload to be only for sensors (fire perception purposes), and finally the availability by equipping the communication devices onboard. Although, through our research, we found that almost all the previous research work on this field full into one of main three categories respectively, theoretical way of research as in [8], practical way put with limited resources by using a single lightweight UAV, focusing their work on sensing and thermal cameras as in [9], and finally using a swarm of multi minidrones as in [10]. In [9] the researchers stated that the main requirements for such a system can be considered in all-weather suitability, in the mean of day and night functionality, self-localization using a common terrain reference model for automatic geolocalization, navigational autonomy by using GPS and IMU, cooperation behavior with other UAVs, gathering the payload to be only for sensors (fire perception purposes), and finally the availability by equipping the communication devices onboard.…”

Section: Limitations Of Current Firefighting Technologiesmentioning

confidence: 99%

WILD HOPPER Prototype for Forest Firefighting

et al. 2021

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In Europe, fire represents an important issue for a lot of researchers due to economic losses, environmental disasters, and human death. In the last decade, the European parliament sheds light upon this problem by dealing with the community project” Forest Focus”. Thus, researchers and scientific research departments of European companies begin to work on solving and creating different techniques to deal with such a problem, these research centers found that the most attractive and accurate way of solving such a problem was using an Unmanned Aerial Vehicle (UAV). In this paper, the research center at Drone Hopper Company analysis the deficiencies for forest fire fighting systems, in order to start designing its new prototype of a special drone named WILD HOPPER, solving all the shortcomings of similar systems. This paper is the first of a group of research papers that will take place during designing and producing our WILD-HOPPER system.

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“…During the last two decades, unmanned aerial vehicle (UAV) has been deployed to perform high risky operations where deploying humans presents great danger to their health notably in fire-fighting [ 1 , 2 ], chemical spraying [ 3 , 4 , 5 ], search and rescue missions [ 5 , 6 ], disaster network communication [ 7 , 8 ] and surveillance operations [ 9 ]. Undoubtedly, UAV will be pivotal in medical and blood delivery for troops in the frontline when it is dangerous to send in medical personnel.…”

Section: Introductionmentioning

confidence: 99%

The Recent Advancement in Unmanned Aerial Vehicle Tracking Antenna: A Review

Kelechi¹,

Alsharif

Oluwole³

et al. 2021

Sensors

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Unmanned aerial vehicle (UAV) antenna tracking system is an electromechanical component designed to track and steer the signal beams from the ground control station (GCS) to the airborne platform for optimum signal alignment. In a tracking system, an antenna continuously tracks a moving target and records their position. A UAV tracking antenna system is susceptible to signal loss if omnidirectional antenna is deployed as the preferred design. Therefore, to achieve longer UAV distance communication, there is a need for directional high gain antenna. From design principle, directional antennas are known to focus their signal energy in a particular direction viewed from their radiation pattern which is concentrated in a particular azimuth direction. Unfortunately, a directional antenna is limited by angle, thus, it must always be directed to the target. The other limitation of a UAV mechanical beam steering system is that the system is expensive to maintain and with low reliability. To solve this problem, we are proposing the use of MIMO technology as a readily available technology for UAV beyond line of sight technology. Although UAV antenna tracking is domiciled in the mechanical beam steering arrangement, this study shows that this native technology could be usurped by MIMO beam forming.

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

Cited by 58 publications

References 4 publications

A Survey on Robotic Technologies for Forest Firefighting: Applying Drone Swarms to Improve Firefighters’ Efficiency and Safety

A Survey on Robotic Technologies for Forest Firefighting: Applying Drone Swarms to Improve Firefighters’ Efficiency and Safety

WILD HOPPER Prototype for Forest Firefighting

The Recent Advancement in Unmanned Aerial Vehicle Tracking Antenna: A Review

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