Search results for "Unmanned Aerial Vehicle"

showing 10 items of 39 documents

Hybrid Solar-RF Energy Harvesting Mechanisms for Remote Sensing Devices

2022

Recently, sensor networks effectively provide many applications in different fields. The deployment of mobile sensors, unmanned aerial vehicles is to reduce the burden of energy consumption for sensor nodes. However, saving energy in such networks is still a critical issue. This paper investigates the performance of a hybrid RF-Solar harvesting circuit for remote sensing devices. The harvesting circuit can simultaneously harvest power from solar and radio frequency (RF) sources readily available in the surrounding environment. The proposed work builds RF and solar harvester circuits to create hybrid harvesting circuits for all elements in the combined sensing networks. The stand-alone RF ha…

Settore ING-IND/31 - ElettrotecnicaHybrid energy harvesting Mobile sinks RF energy Solar energy Unmanned aerial vehicles Wireless sensor networks
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Between the Megalopolis and the Deep Blue Sky: Challenges of Transport with UAVs in Future Smart Cities

2019

International audience; With the rapid increase of the world's urban population, the infrastructure of the constantly expanding metropolitan areas is undergoing an immense pressure. To meet the growing demands of sustainable urban environments and improve the quality of life for citizens, municipalities will increasingly rely on novel transport solutions. In particular, Unmanned Aerial Vehicles (UAVs) are expected to have a crucial role in the future smart cities thanks to their interesting features such as autonomy, flexibility, mobility, adaptive altitude, and small dimensions. However, densely populated megalopolises of the future are administrated by several municipals, governmental and…

Smart CitiesIntelligent Transport Systems[INFO]Computer Science [cs][INFO] Computer Science [cs]Unmanned Aerial Vehicles
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Energy consumption model of aerial urban logistic infrastructures

2021

In the last decade, logistic systems based on small aerial vehicles (drones) have become attractive for urban delivery operations as a sustainable alternative to ground vehicles because they are not affected by the congestion of the road network, thus allowing for faster and more reliable services. Aerial logistic systems, however, require a substantially different approach to operations management and need specifically designed supportive infrastructures. While the research on urban aerial delivery mostly focuses on the optimization vehicle operations, the appropriate design of supportive infrastructures is seldom considered. This paper focuses on the energy efficiency of aerial logistic s…

TechnologyControl and OptimizationRenewable Energy Sustainability and the EnvironmentComputer scienceTdistribution systemsEnergy Engineering and Power TechnologySwarm behaviourEnergy consumptionenergy optimizationDecision problemDroneSizingEnergy storageTransport engineeringcity logisticsSettore ING-IND/23 - Chimica Fisica ApplicataSettore ING-IND/17 - Impianti Industriali MeccaniciCity logistics Distribution systems Energy optimization Unmanned Aerial VehiclesElectrical and Electronic EngineeringEngineering (miscellaneous)DimensioningEnergy (miscellaneous)Efficient energy useUnmanned Aerial Vehicles
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Weed detection by aerial imaging: impact of soil, crop and weed spectral mixing

2015

International audience; This study aims to evaluate spectral information potential of images captured with a UAV, for site specific weed management. The image acquisition chain was modeled in order to compute the digital values of image pixels, according to the field conditions and objects lying on the ground surface projected in the pixels. The object spectra are mixed in the same pixel to estimate the impact of the spatial resolution of the image. The classification potential into crop, weed and soil classes was studied usinf simulations based on the present multispectral sensor characteristics and according to different mixing rates.

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agricultureAcquisition chainmultispectral[ SDV.SA.STA ] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agricultureUnmanned aerial vehicleWeed classification
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Sub-optimal waypoints, UAV path planning and mosaicing application

2016

International audience; Create a complete system of video surveillance using camera mounted on a robot like UAV to maintain optimized vast area coverage and reconstruct an image by using mosaicing techniques. This paper demonstrated the efficiency of using one UAV to cover vast area using optimized positions.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Cover (telecommunications)Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION010103 numerical & computational mathematics01 natural sciencesUnmanned aerial vehicles[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionMotion planning0101 mathematics[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Genetic Algorithmbusiness.industry[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO][INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics010101 applied mathematicsCoverage path planningArea coverageRobotArtificial intelligencebusiness
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Mapping intra-plot topsoil diversity of Burgundy vineyards (Aloxe- Corton, France) from very high spatial resolution (VHSR) images

2012

International audience; In this work, we present a method based on very high spatial resolution (VHSR) aerial images acquired in the visible domain and that map soil surface diversity at the hillslope scale with a spatial resolution of a few centimeters. This method combines aerial VHSR image classification with local soil sampling. Principal component analysis (PCA) and non-supervised classification was performed on image characteristics to define soil surface characteristic classes (SSC). Then soil surface mapping was combined with soil surface descriptions and soil profiles to define soil types by physical and chemical characteristics.

[SDE] Environmental Sciences[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[SDE.ES]Environmental Sciences/Environmental and Societysoil surface characteristics[ SDE ] Environmental SciencesvineyardsSoil mapping[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistory[SDE]Environmental Sciencesunmanned aerial vehicle[SDE.ES] Environmental Sciences/Environmental and Societyvery high spatial resolution[ SDE.ES ] Environmental Sciences/Environmental and Society
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Mapping soil and substratum at a very high spatial resolution in the hillslope of Couchey (France)

2012

International audience; In this work, we present a method based on very high spatial resolution (VHSR) aerial images acquired in the visible domain and that map soil surface diversity at the hillslope scale with a spatial resolution of a few centimeters. This method combines aerial VHSR image classification with local soil sampling. Principal component analysis (PCA) and non-supervised classification was performed on image characteristics to define soil surface characteristic classes (SSC). Then soil surface mapping was combined with soil surface descriptions and soil profiles to define soil types by physical and chemical characteristics. As soil results from parent material alteration, ide…

[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[ SHS.ENVIR ] Humanities and Social Sciences/Environmental studies[SDE.ES]Environmental Sciences/Environmental and Societysoil surface characteristicsvineyardsgeological mapSoil mapping[SHS.ENVIR] Humanities and Social Sciences/Environmental studies[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ENVIR]Humanities and Social Sciences/Environmental studiesunmanned aerial vehicle[SDE.ES] Environmental Sciences/Environmental and Societyvery high spatial resolution[ SDE.ES ] Environmental Sciences/Environmental and Society
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UAV-Assisted Data Collection in Wireless Sensor Networks: A Comprehensive Survey

2021

Wireless sensor networks (WSNs) are usually deployed to different areas of interest to sense phenomena, process sensed data, and take actions accordingly. The networks are integrated with many advanced technologies to be able to fulfill their tasks that is becoming more and more complicated. These networks tend to connect to multimedia networks and to process huge data over long distances. Due to the limited resources of static sensor nodes, WSNs need to cooperate with mobile robots such as unmanned ground vehicles (UGVs), or unmanned aerial vehicles (UAVs) in their developments. The mobile devices show their maneuverability, computational and energy-storage abilities to support WSNs in mul…

data collection scenariosTK7800-8360Computer Networks and CommunicationsProcess (engineering)Computer scienceDistributed computingComputerApplications_COMPUTERSINOTHERSYSTEMSwireless sensor networks (WSNs)mobile robotsenergy consumptionComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSunmanned aerial vehicles (UAVs)Electrical and Electronic EngineeringData collectionControl algorithmcommunication structuresCommunication structures Control algorithms Data collection scenarios Energy consumption Mobile robots Unmanned aerial vehicles (UAVs) Wireless sensor networks (WSNs)Mobile robotEnergy consumptionSettore ING-IND/31 - ElettrotecnicaHardware and ArchitectureControl and Systems EngineeringSignal Processingcontrol algorithmsElectronicsMobile deviceWireless sensor networkLimited resourcesElectronics
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Drones in cyber security environment

2019

Aerial unmanned vehicles (AUV) are currently used for a wide range of operations such as border surveillance, surveillance, reconnaissance, transport, aerial photography, traffic control, earth observation, communications, broadcasting and armed attacks. AUVs are presumed to be reliable, automated and autonomous machines. AUVs are extremely suitable for long missions that strain flight crews or put them to harm's way. Two advantages can be gained by eliminating the flight crew: 1) performance improves (range, endurance, increased payload and maneuverability, smaller physical size and lower observability) and; 2) the ability to take higher risks. UAV/RPAS/drone cyber security has largely foc…

elektroninen sodankäyntikybersodankäyntiintelligence and reconnaissancecyber securitysurveillancedroonittiedusteluunmanned aerial vehiclesmiehittämättömät ilma-aluksettarkkailucyber attacks
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Unmanned aerial vehicle measurements of volcanic carbon dioxide fluxes

2008

[i] We report the first measurements of volcanic gases with an unmanned aerial vehicle (UAV). The data were collected at La Fossa crater, Vulcano, Italy, during April 2007, with a helicopter UAV of 3 kg payload, carrying an ultraviolet spectrometer for remotely sensing the SO 2 flux (8.5 Mg d- 1 ), and an infrared spectrometer, and electrochemical sensor assembly for measuring the plume CO 2 /SO 2 ratio; by multiplying these data we compute a CO 2 flux of 170 Mg d -1 . Given the deeper exsolution of carbon dioxide from magma, and its lower solubility in hydro-thermal systems, relative to SO 2 , the ability to remotely measure CO 2 fluxes is significant, with promise to provide more profound…

event.disaster_typegeographygeography.geographical_feature_categorySpectrometerMeteorologyAtmospheric sciencesPlumeSettore GEO/08 - Geochimica E VulcanologiaVolcanic GasesGeophysicsFlux (metallurgy)Impact craterVolcanoMagmaPanacheGeneral Earth and Planetary Scienceseventvolcano monitoring unmanned aerial vehicles volcanic gas monitoringGeology
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