Results 21 to 30 of about 49,392 (306)

Simulation of Unmanned Aerial Vehicle for Mapping

2021 29th Signal Processing and Communications Applications Conference (SIU), 2021
Unmanned Aerial Vehicle (UAV) is a flying vehicle that is physically unmanned, controlled by a ground-based controller with a remote control or can be moved autonomous or semi-autonomous depending on a flight plan. The use of UAVs has become widespread in recent years thanks to the development of technology and making them more accessible.
Burak Turan, Sultan N. Turhan, Özgün Pinarer, Elif Bozkaya   +3 more
openaire   +2 more sources

Autonomous three-dimensional formation flight for a swarm of unmanned aerial vehicles

, 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 ...
Derek J. Bennet, Suzuki, M., Uchiyama, Kenji, McInnes, Colin, M. Suzuki, Uchiyama, K., Bennet, Derek James, Bennet, Derek J., C. R. MacInnes, K. Uchiyama, Suzuki, Masayuki, McInnes, C.R.   +11 more
core   +1 more source

Verifiable control of a swarm of unmanned aerial vehicles

, 2009
This article considers the distributed control of a swarm of unmanned aerial vehicles (UAVs) investigating autonomous pattern formation and reconfigurability.
Bennet, D.J., Bennet, Derek J., Bennet, D. J., McInnes, C.R.   +3 more
core   +1 more source

Low‐Profile, High‐Gain GRIN RF Lenses via Multi‐Material Vat Photopolymerization

Advanced Functional Materials, EarlyView.
We investigate the opportunity of leveraging multi‐material vat photopolymerization printing to manufacture intricate lenses exhibiting permittivity gradients that can increase signal gain in transmitted radiofrequency signals in the X‐ and Ku‐bands. Lenses produced with more distinct low‐loss materials (up to 5) can deliver an 18 dB signal gain with a
Lawrence Romangsuriat, Alexander Peraire‐Bueno, A. John Hart, Randall M. Erb   +3 more
wiley   +1 more source

Fusing Deep Learning and Predictive Control for Safe Operation of Manned–Unmanned Aircraft Systems

Drones
With the rapid development of the low-altitude economy, the deployment of unmanned aircraft vehicles (UAVs) in many fields is increasing continuously, and the demand for collaborative flights is also growing.
Xiangyu Pan, Xiaofei Chang, Yixuan Zhou, Xinkai Xu, Jie Yan   +4 more
doaj   +1 more source

Single Image Super-Resolution Method Based on an Improved Adversarial Generation Network

Applied Sciences, 2022
Super-Resolution (SR) techniques for image restoration have recently been gaining attention due to their excellent performance. For powerful learning abilities, Generative Adversarial Networks (GANs) have been proven to have achieved great success.
Qiang Wang, Hongbin Zhou, Guangyuan Li, Jiansheng Guo   +3 more
doaj   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Enhanced Cybersecurity Framework for Unmanned Aerial Systems: A Comprehensive STRIDE-Model Analysis and Emerging Defense Strategies

IET Information Security
Recent advancements in unmanned aerial vehicle (UAV) technology have facilitated its widespread adoption across a spectrum of sectors, such as commercial logistics, agricultural surveillance, industrial diagnostics, and military maneuvers.
Hailong Xi, Le Ru, Jiwei Tian, Bo Lu, Shiguang Hu, Wenfei Wang, Hongqiao Wang, Xiaohui Luan   +7 more
doaj   +1 more source

Fast Hyperspectral Image Classification with Strong Noise Robustness Based on Minimum Noise Fraction

Remote Sensing
A fast hyperspectral image classification algorithm with strong noise robustness is proposed in this paper, aiming at the hyperspectral image classification problems under noise interference. Based on the Fast 3D Convolutional Neural Network (Fast-3DCNN),
Hongqiao Wang, Guoqing Yu, Jinyu Cheng, Zhaoxiang Zhang, Xuan Wang, Yuelei Xu   +5 more
doaj   +1 more source

Risk Management of Unmanned Aerial Vehicles

CoRR, 2023
This paper presents an efficient risk management model for unmanned aerial vehicles or UAVs. Our proposed risk management establishes a cyclic model with a continuous and iterative structure that is very adaptable to agile methods and all IT-related resources.
Hamid Reza Naji, Aref Ayati
openaire   +2 more sources