Results 31 to 40 of about 277,634 (332)
IEEE Access, 2020 In this paper, we focus on the transition control of a ducted fan vertical take-off and landing (VTOL) unmanned aerial vehicle (UAV). To achieve a steady transition from hover to high-speed flight, a neural-networks-based controller is proposed to learn ...
Zihuan Cheng, Hailong Pei, Shuai Li
doaj +1 more source
Use of Multi-Rotor Unmanned Aerial Vehicles for Radioactive Source Search
Remote Sensing, 2018 In recent years, many radioactive sources have been lost or stolen during use or transportation. When the radioactive source is lost or stolen, it is challenging but imperative to quickly locate the source before it causes damage. Nowadays, source search
Bai Li +5 more
doaj +1 more source
Performance Improvements Using Deep Learning Based Object-Identification
Al-Kitab Journal for Pure Sciences, 2022 Deep Learning incorporates numerous hidden layers and more rooted combinations that average Artificial Neural Networks (ANN), to produce more refined and better performing autonomy in learning algorithms.
Shouket Abdulrahman Ahmed +2 more
doaj +1 more source
Remotely piloted aircraft systems and a wireless sensors network for radiological accidents [PDF]
, 2016 In critical radiological situations, the real time information that we could get from the disaster area becomes of great importance. However, communication systems could be affected after a radiological accident.
Barrado Muxí, Cristina +4 more
core +2 more sources
Remote Sensing, 2020 Interest in the use of unmanned aerial systems (UAS) to estimate the aboveground biomass (AGB) of vegetation in agricultural and non-agricultural settings is growing rapidly but there is no standardized methodology for planning, collecting and analyzing ...
Lucy G. Poley, G. McDermid
semanticscholar +1 more source
Applied Sciences, 2021 Unmanned aerial systems (UAS) for airborne gamma-ray surveys in radioecological and geological research are being increasingly used, since they provide radiation safety for personnel and high survey performance. Improvement of detection modules is one of
A. Parshin +4 more
semanticscholar +1 more source
, 2020 Autonomous unmanned aerial vehicles are complex systems of hardware, software, and human input. Understanding this complexity is key to their development and operation.
Borkin, Michelle A. +4 more
core +1 more source
Autonomous three-dimensional formation flight for a swarm of unmanned aerial vehicles [PDF]
, 2011 This paper investigates the development of a new guidance algorithm for a formation of unmanned aerial vehicles. Using the new approach of bifurcating potential fields, it is shown that a formation of unmanned aerial vehicles can be successfully ...
Badawy A. +14 more
core +1 more source
Mapping and classification of ecologically sensitive marine habitats using unmanned aerial vehicle (UAV) imagery and object-based image analysis (OBIA) [PDF]
, 2018 Nowadays, emerging technologies, such as long-range transmitters, increasingly miniaturized components for positioning, and enhanced imaging sensors, have led to an upsurge in the availability of new ecological applications for remote sensing based on ...
Ardizzone, Domenico +4 more
core +1 more source
Cooperative monocular-based SLAM for multi-UAV systems in GPS-denied environments [PDF]
, 2018 This work presents a cooperative monocular-based SLAM approach for multi-UAV systems that can operate in GPS-denied environments. The main contribution of the work is to show that, using visual information obtained from monocular cameras mounted onboard ...
Grau Saldes, Antoni +3 more
core +6 more sources