Results 51 to 60 of about 22,425 (215)

Improvement on Ground Taxiing Rectification Control of a Certain UAV

Hangkong gongcheng jinzhan, 2021
Ground taxiing is an important stage in the flight process of wheeled UAV, the dynamic characteristics of ground taxiing is of great significance for finding out the anti-crosswind characteristics and optimizing the rectification control.Based on the ...
SHI Hongwei, CAI Yongheng, LI Xinhua
doaj   +1 more source

High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation

Advanced Intelligent Systems, EarlyView.
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger, Alessandro Marchei, Charbel Toumieh, Dario Floreano   +3 more
wiley   +1 more source

Research on Unsteady Aerodynamic Interference for the Tiltrotor Aircraft in Hover

Hangkong gongcheng jinzhan, 2019
The high resolution numerical simulation for rotor/wing-body interaction flow-field in hover is crucial for the accurate prediction of aerodynamic performance of the tilt-rotor aircraft, and is the one of the important issues of helicopter aerodynamics ...
Sun Kaijun, Zhang Bihui, Fu Yiwei, Zhang Lian   +3 more
doaj   +1 more source

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

Advanced Intelligent Systems, EarlyView.
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza, Bruno José Olivieri de Souza, Markus Endler   +2 more
wiley   +1 more source

Research on Autonomous Manoeuvre Decision Making in Within-Visual-Range Aerial Two-Player Zero-Sum Games Based on Deep Reinforcement Learning

Mathematics
In recent years, with the accelerated development of technology towards automation and intelligence, autonomous decision-making capabilities in unmanned systems are poised to play a crucial role in contemporary aerial two-player zero-sum games (TZSGs ...
Bo Lu, Le Ru, Shiguang Hu, Wenfei Wang, Hailong Xi, Xiaolin Zhao   +5 more
doaj   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Correction: Zeng et al. Research on Aviation Safety Prediction Based on Variable Selection and LSTM. Sensors 2023, 23, 41

Sensors
In the original publication [...]
Hang Zeng, Jiansheng Guo, Hongmei Zhang, Bo Ren, Jiangnan Wu   +4 more
doaj   +1 more source

Analysis on the Propeller Slipstream Interference with Autorotating Rotor Aerodynamic Characteristics

Hangkong gongcheng jinzhan, 2020
The propeller slipstream passed through the rotor plane when the autogyro is flying forward, will produce the unsteady aerodynamic interference on the autorotating rotor.
WU Weiwei, MA Cunwang, SUN Kaijun
doaj   +1 more source

Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints

Advanced Intelligent Systems, EarlyView.
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang, Lei Ma, Muhua Zhang, Kai Shen   +3 more
wiley   +1 more source

Deformable Attention Multiscale Feature Fusion Network‐Dehaze: An Adaptive Image Dehazing Method Based on Deformable Attention Multiscale Fusion Network

Advanced Intelligent Systems, EarlyView.
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang, Yajun Chen, Hao Liu, Mingrui Li, Zhiqi Li   +4 more
wiley   +1 more source