Unmanned aerial vehicle-aided communications system for disaster recovery

Tuna, Gürkan; Nefzi, Bilel; Conte, G.

doi:10.1016/j.jnca.2013.10.002

Cited by 177 publications

(96 citation statements)

References 28 publications

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“…Combined with UAVs, such technology is allowing collaborations of sensors between UAVs and the ground (Rathbun et al, 2002), as well as the flight of swarms of collaborative UAVs that can be used for emergency management (Bupe et al, 2015). In disaster-impacted areas, clusters of UAVs have proven to be able to replace communication towers that would have been brought down by a disaster (Dalmasso et al, 2012;Merdaway and Guvenc 2015;Tuna et al, 2014) and also provide imagery for any post-disaster activity (Quadritsch et al, 2010). At the convergence between this development and the SfM method that I presented earlier, there is a new forthcoming development: real-time 4D evolution of features or 3D over time.…”

Section: Acquisition Of 4d Imagery Using Swarms Of Uavs For Emergencymentioning

confidence: 98%

UAV- based Photogrammetry and Geocomputing for Hazards and Disaster Risk Monitoring – A Review

Gomez

Purdie

2016

Geoenviron Disasters

167

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Background: The unraveling of the human-induced climate-change crisis has put to the forth the ability of humanbeings to impact the planet as a whole, but the discourse of politics has also emphasized the ability of the human race to adapt and counterweigh the environmental change, in turn increasing the public expectation that one should be able to control nature and its affects. Such cozy and reassured society consequently puts an increasing amount of pressure on hazards assessors, emergency and disaster managers "to get it right", and not only to save the majority, but to save all. To reach such level of competency, emergency relief teams and disaster managers have to work always faster with an increasing need of high quality, high-resolution geospatial data. This need is being partly resolved with the usage of UAV (Unmanned Autonomous Vehicles), both on the ground and airborne. Results: In this contribution, we present a review of this field of research that has increased exponentially in the last few years. The rapid democratization of the tool has lead to a significant price reduction and consequently a broad scientific usage that have resulted in thousands of scientific contributions over the last decade. The main usages of UAVs are the mapping of land features and their evolution over time, the mapping of hazards and disasters as they happen, the observation of human activity during an emergency or a disaster, the replacement of telecommunication structures impacted by a natural hazards and the transport of material to isolated groups. Conclusion: Those usages are mostly based on the use of single UAVs or UAVs as single agents eventually collaborating. The future is most certainly in the ability to accomplish complex tasks by leveraging the multiple platforms possibilities. As an example, we presented an experiment showing how multiple UAV platforms taking imagery together at the same time could provide true 4D (3D in time) of geo-processes such as river-bed evolution, or rockfalls, etc.

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Section: Acquisition Of 4d Imagery Using Swarms Of Uavs For Emergencymentioning

confidence: 98%

UAV- based Photogrammetry and Geocomputing for Hazards and Disaster Risk Monitoring – A Review

Gomez

Purdie

2016

Geoenviron Disasters

167

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“…While the periods of GPS outages, the accelerometer and magnetometer are used to provide the approximate measurement of gravity vector and the Earth's magnetic field. Tuna et al (2014) used a team of UAVs to set up the aided emergency communications system for rescue operations by using the Geographical Information System (GIS). The UAV acquires the precise latitude and longitude positioning by GPS/INS.…”

Section: Related Workmentioning

confidence: 99%

“…UAVs are highly suitable when aerial operations are required, and the presence of a pilot is dangerous, impossible, or simply expensive (Sinopoli, Micheli, Donato, & Koo, 2001). This pertains to a wide range of applications, including search and rescue (Varela et al, 2014), aerial mapping (Mesas-Carrascosa, Notario-García, de Larriva, de la Orden, & Porras, 2014), target tracking (Quintero & Hespanha, 2014), flight formation autonomously (Tuna, Nefzi, & Conte, 2014), avoid obstacle automatically (Moon & Prasad, 2011) and disaster recovery (Tuna et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Brain Computer Interface system based on indoor semi-autonomous navigation and motor imagery for Unmanned Aerial Vehicle control

Shi

Wang

Zhang

2015

Expert Systems with Applications

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“…17,18 Other applications are specific surface displacement monitoring such as the Himalayan debris-covered glacier, 19 photogrammetry of cultural heritage and archeological sites, 20 and data collection through a network of UAVs. 21 Autonomous navigation and tracking is becoming more essential for UAVs.…”

Section: Introductionmentioning

confidence: 99%

Wireless vision-based fuzzy controllers for moving object tracking using a quadcopter

Algabri

Mathkour

Mekhtiche

et al. 2017

International Journal of Distributed Sensor Networks

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During the last few decades, the utilization of unmanned aerial vehicles has grown in military and has seen new civil applications because of their reduced cost and hovering capabilities. This article presents a visual servoing system for detecting and tracking a moving object using an unmanned aerial vehicle. The system consists of two sequential components. The first component addresses the detection of a moving object, using the unmanned aerial vehicle based on color features. The second component addresses the visual servoing control that is designed to guide the unmanned aerial vehicle according to the target position and inclination. Three fuzzy logic modules are implemented in order to control the unmanned aerial vehicle in tracking a moving object. The proposed method is validated on a real flight using an AR.Drone 2.0 quadcopter. The obtained results show that the performance of the proposed method is suitable for object-following tasks in surveillance applications. This research investigates the use of unmanned aerial vehicle technology for crowd monitoring during Hajj and it could also be used for border surveillance to monitor Saudi Arabia's borders.

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Unmanned aerial vehicle-aided communications system for disaster recovery

Cited by 177 publications

References 28 publications

UAV- based Photogrammetry and Geocomputing for Hazards and Disaster Risk Monitoring – A Review

UAV- based Photogrammetry and Geocomputing for Hazards and Disaster Risk Monitoring – A Review

Brain Computer Interface system based on indoor semi-autonomous navigation and motor imagery for Unmanned Aerial Vehicle control

Wireless vision-based fuzzy controllers for moving object tracking using a quadcopter

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