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Refinado por: Base de dados/Biblioteca: BACON - Mir@bel - GLOBAL_LIBRESACCES remover Nome da Publicação: Drones remover assunto: Remote Sensing remover Neural Networks remover Machine Learning remover
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Ground Risk Assessment for Unmanned Aircraft Systems Based on Dynamic Model
Ground Risk Assessment for Unmanned Aircraft Systems Based on Dynamic Model
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Ground Risk Assessment for Unmanned Aircraft Systems Based on Dynamic Model

Jiao, Qingyu ; Liu, Yansi ; Zheng, Zhigang ; Sun, Linshi ; Bai, Yiqin ; Zhang, Zhengjuan ; Sun, Longni ; Ren, Gaosheng ; Zhou, Guangyu ; Chen, Xinfeng ; Yan, Yan

Drones (Basel), 2022-11, Vol.6 (11), p.324 [Periódico revisado por pares]

Basel: MDPI AG

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2
Deep Learning and Artificial Neural Networks for Spacecraft Dynamics, Navigation and Control
Deep Learning and Artificial Neural Networks for Spacecraft Dynamics, Navigation and Control
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Deep Learning and Artificial Neural Networks for Spacecraft Dynamics, Navigation and Control

Silvestrini, Stefano ; Lavagna, Michèle

Drones (Basel), 2022-09, Vol.6 (10), p.270 [Periódico revisado por pares]

Basel: MDPI AG

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3
UAV Multi-Dynamic Target Interception: A Hybrid Intelligent Method Using Deep Reinforcement Learning and Fuzzy Logic
UAV Multi-Dynamic Target Interception: A Hybrid Intelligent Method Using Deep Reinforcement Learning and Fuzzy Logic
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UAV Multi-Dynamic Target Interception: A Hybrid Intelligent Method Using Deep Reinforcement Learning and Fuzzy Logic

Xia, Bingze ; Mantegh, Iraj ; Xie, Wenfang

Drones (Basel), 2024-06, Vol.8 (6), p.226 [Periódico revisado por pares]

Basel: MDPI AG

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4
A Multi-Subsampling Self-Attention Network for Unmanned Aerial Vehicle-to-Ground Automatic Modulation Recognition System
A Multi-Subsampling Self-Attention Network for Unmanned Aerial Vehicle-to-Ground Automatic Modulation Recognition System
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A Multi-Subsampling Self-Attention Network for Unmanned Aerial Vehicle-to-Ground Automatic Modulation Recognition System

Shen, Yongjian ; Yuan, Hao ; Zhang, Pengyu ; Li, Yuheng ; Cai, Minkang ; Li, Jingwen

Drones (Basel), 2023-06, Vol.7 (6), p.376 [Periódico revisado por pares]

Basel: MDPI AG

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5
An Attention-Based Odometry Framework for Multisensory Unmanned Ground Vehicles (UGVs)
An Attention-Based Odometry Framework for Multisensory Unmanned Ground Vehicles (UGVs)
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An Attention-Based Odometry Framework for Multisensory Unmanned Ground Vehicles (UGVs)

Xiao, Zhiyao ; Zhang, Guobao

Drones (Basel), 2023-12, Vol.7 (12), p.699 [Periódico revisado por pares]

Basel: MDPI AG

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6
VisionICE: Air–Ground Integrated Intelligent Cognition Visual Enhancement System Based on a UAV
VisionICE: Air–Ground Integrated Intelligent Cognition Visual Enhancement System Based on a UAV
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VisionICE: Air–Ground Integrated Intelligent Cognition Visual Enhancement System Based on a UAV

Li, Qingge ; Yang, Xiaogang ; Lu, Ruitao ; Fan, Jiwei ; Wang, Siyu ; Qin, Zhen

Drones (Basel), 2023-04, Vol.7 (4), p.268 [Periódico revisado por pares]

Basel: MDPI AG

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7
Efficient Focus Autoencoders for Fast Autonomous Flight in Intricate Wild Scenarios
Efficient Focus Autoencoders for Fast Autonomous Flight in Intricate Wild Scenarios
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Efficient Focus Autoencoders for Fast Autonomous Flight in Intricate Wild Scenarios

Hu, Kaiyu ; Li, Huanlin ; Zhuang, Jiafan ; Hao, Zhifeng ; Fan, Zhun

Drones (Basel), 2023-10, Vol.7 (10), p.609 [Periódico revisado por pares]

Basel: MDPI AG

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8
Time-Domain Identification Method Based on Data-Driven Intelligent Correction of Aerodynamic Parameters of Fixed-Wing UAV
Time-Domain Identification Method Based on Data-Driven Intelligent Correction of Aerodynamic Parameters of Fixed-Wing UAV
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Time-Domain Identification Method Based on Data-Driven Intelligent Correction of Aerodynamic Parameters of Fixed-Wing UAV

Yang, Dapeng ; Zang, Jianwen ; Liu, Jun ; Liu, Kai

Drones (Basel), 2023-09, Vol.7 (9), p.594 [Periódico revisado por pares]

Basel: MDPI AG

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9
Air-to-Ground Path Loss Model at 3.6 GHz under Agricultural Scenarios Based on Measurements and Artificial Neural Networks
Air-to-Ground Path Loss Model at 3.6 GHz under Agricultural Scenarios Based on Measurements and Artificial Neural Networks
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Air-to-Ground Path Loss Model at 3.6 GHz under Agricultural Scenarios Based on Measurements and Artificial Neural Networks

Li, Hanpeng ; Mao, Kai ; Ye, Xuchao ; Zhang, Taotao ; Zhu, Qiuming ; Wang, Manxi ; Ge, Yurao ; Li, Hangang ; Ali, Farman

Drones (Basel), 2023-12, Vol.7 (12), p.701 [Periódico revisado por pares]

Basel: MDPI AG

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10
Deep Learning-Based Robust Actuator Fault Detection and Isolation Scheme for Highly Redundant Multirotor UAVs
Deep Learning-Based Robust Actuator Fault Detection and Isolation Scheme for Highly Redundant Multirotor UAVs
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Deep Learning-Based Robust Actuator Fault Detection and Isolation Scheme for Highly Redundant Multirotor UAVs

Debele, Yisak ; Shi, Ha-Young ; Wondosen, Assefinew ; Ku, Tae-Wan ; Kang, Beom-Soo

Drones (Basel), 2023-07, Vol.7 (7), p.437 [Periódico revisado por pares]

Basel: MDPI AG

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