Results 101 to 110 of about 63,907 (256)

Development of the Use of Unmanned Aerial Vehicles (UAVs) in Emergency Rescue in China. [PDF]

Risk Manag Healthc Policy, 2021
Li T, Hu H.
europepmc   +1 more source

Integrated LEO Constellation and In‐Cabin Distribution System for Continuous Aircraft 5G Connectivity

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT The integration of low Earth orbit (LEO) satellite constellations with commercial aircraft communication systems presents critical challenges in maintaining continuous connectivity during dynamic flight conditions. Current geostationary satellite systems suffer from high round‐trip latency (>$$ > $$ 500 ms) and inadequate coverage at high ...
Raúl Parada, Victor Monzon Baeza, Carlos Horcajo Fernández de Gamboa, Rocío Serrano Camacho, Carlos Monzo   +4 more
wiley   +1 more source

UAV-UGV Collaborative Localisation with Minimum Sensing

Sensors
This paper presents a novel methodology to localise Unmanned Ground Vehicles (UGVs) using Unmanned Aerial Vehicles (UAVs). The UGVs are assumed to be operating in a Global Navigation Satellite System (GNSS)-denied environment.
A. H. T. Eranga De Silva, Jayantha Katupitiya   +1 more
doaj   +1 more source

Unmanned Aerial Vehicles (UAVs) for Physical Progress Monitoring of Construction. [PDF]

Sensors (Basel), 2021
Jacob-Loyola N, Muñoz-La Rivera F, Herrera RF, Atencio E.   +3 more
europepmc   +1 more source

Saving Bambi from the mower? Using a drone with thermal camera to evaluate a low‐tech scaring technique to reduce roe deer fawn mortality during grass harvest

Wildlife Biology, EarlyView.
Roe deer is a species that hides their neonates as an anti‐predator strategy. This may prove efficient against mammalian predators, such as the red fox; however, it might be an ecological trap as large numbers of fawns are killed by tractors with harvesters each year during grass harvest.
Thomas Vogler, Neri H Thorsen, Simen Pedersen   +2 more
wiley   +1 more source

Coastal Monitoring Using Unmanned Aerial Vehicles (UAVs) for the Management of the Spanish Mediterranean Coast: The Case of Almenara-Sagunto. [PDF]

Int J Environ Res Public Health, 2022
Chapapría VE, Peris JS, González-Escrivá JA.   +2 more
europepmc   +1 more source

Evaluating machine learning models for multi‐species wildlife detection and identification on remote sensed nadir imagery in South African savanna

Wildlife Biology, EarlyView.
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin, Fadel Seydou, Radloff Frans, Andrew Davies, Alison Leslie   +4 more
wiley   +1 more source

Correction: The use of Unmanned Aerial Vehicles (UAVs) to sample the blow microbiome of small cetaceans. [PDF]

PLoS One, 2021
Centelleghe C, Carraro L, Gonzalvo J, Rosso M, Esposti E, Gili C, Bonato M, Pedrotti D, Cardazzo B, Povinelli M, Mazzariol S.   +10 more
europepmc   +1 more source

Estimating red deer Cervus elaphus population density using drones in a steep and rugged terrain

Wildlife Biology, EarlyView.
Precise and accurate information about population density, crucial for wildlife management, is difficult to obtain for elusive species living in dense forests or steep and inaccessible terrain. Using unmanned aerial vehicles (UAVs), we developed a method for obtaining absolute population estimates of ungulates living in steep, rugged, and partly ...
Julie Bommerlund, Torbjørn Ergon, Simon Filhol, Atle Mysterud   +3 more
wiley   +1 more source

A Survey on UAV Control with Multi-Agent Reinforcement Learning

Drones
Unmanned Aerial Vehicles (UAVs) have become increasingly prevalent in both governmental and civilian applications, offering significant reductions in operational costs by minimizing human involvement.
Chijioke C. Ekechi, Tarek Elfouly, Ali Alouani, Tamer Khattab   +3 more
doaj   +1 more source