Drogue detection for autonomous aerial refueling based on convolutional neural networks
Sign Up to like & getrecommendations! Published in 2017 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2016.12.022
Abstract: Abstract Drogue detection is a fundamental issue during the close docking phase of autonomous aerial refueling (AAR). To cope with this issue, a novel and effective method based on deep learning with convolutional neural networks… read more here.
Keywords: detection; aerial refueling; autonomous aerial; deep learning ... See more keywords
Design and sensitivity analysis of the targeted-docking model for autonomous aerial refueling based on convolutional neural networks
Sign Up to like & getrecommendations! Published in 2025 at "Physics of Fluids"
DOI: 10.1063/5.0277863
Abstract: As the preferred method for unmanned autonomous aerial refueling, soft aerial refueling technology has drawn the attention of scholars worldwide. Existing research mainly focuses on solving the problems related to the hose-drogue assembly or on… read more here.
Keywords: aerial refueling; convolutional neural; docking model; targeted docking ... See more keywords
Autonomous Aerial Vehicle Object Detection Based on Spatial Perception and Multiscale Semantic and Detail Feature Fusion
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3547825
Abstract: Owing to changes in the spatial position of Autonomous Aerial Vehicle (AAV) aerial images and limited platform resources, most existing AAV aerial image detection models have low accuracy, and it is difficult to achieve a… read more here.
Keywords: detection; fusion; yolov8s; model ... See more keywords
SmartClus: Mobility and Energy-Aware Autonomous Aerial Vehicles’ Clustering for B5G Cellular Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3554747
Abstract: Autonomous aerial vehicles (AAVs) are key enablers for various beyond-5G (B5G) applications, including remote sensing, monitoring, emergency response, and delivery systems. However, communication with AAVs faces challenges such as energy constraints, dynamic environments, weather sensitivity,… read more here.
Keywords: aerial vehicles; energy; mobility; b5g ... See more keywords
Enhanced Decentralized Autonomous Aerial Robot Teams With Group Planning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3191037
Abstract: Designing autonomous aerial robot team systems remains a grand challenge in robotics. Existing works in this field can be categorized as centralized and decentralized. Centralized methods suffer from scale dilemmas, while decentralized ones often lead… read more here.
Keywords: group planning; group; autonomous aerial; aerial robot ... See more keywords
Auto Filmer: Autonomous Aerial Videography Under Human Interaction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3231828
Abstract: The advance of unmanned aerial vehicles (UAVs) has enabled customers and directors to film from the air. However, operating the drone to produce desired videos upon a moving object is hard to achieve. This letter… read more here.
Keywords: videography human; autonomous aerial; auto filmer; aerial videography ... See more keywords
Adaptive Distributed Fuzzy Control for Prescribed-Time Formation of Multiple Autonomous Aerial Vehicles
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2024.3456756
Abstract: This study investigated an adaptive distributed prescribed-time fuzzy formation control for quadrotor multi-autonomous aerial vehicles (AAVs). The trajectories of two attitude subsystems were represented through intermediate control variables by considering the underactuated characteristics of AAVs.… read more here.
Keywords: time; control; adaptive distributed; prescribed time ... See more keywords
Research on Task Offloading and Delay Optimization of Autonomous Aerial Vehicle-Assisted Medical Edge Computing Based on Deep Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2024.3513547
Abstract: Integrating autonomous aerial vehicle (AAV) edge computing with medical systems enhances real-time data processing, but any significant delays could hinder timely medical responses. Additionally, there are technical challenges in optimizing task offloading within high-dimensional continuous… read more here.
Keywords: task; based deep; edge computing; task offloading ... See more keywords
Distributed Pursuit of an Evader With Perception and Localization Uncertainty for Autonomous Aerial Vehicles in Obstacle Environments
Sign Up to like & getrecommendations! Published in 2025 at "IEEE/ASME Transactions on Mechatronics"
DOI: 10.1109/tmech.2025.3541148
Abstract: This article address the pursuit–evasion problem of autonomous aerial vehicles (AAVs) in cluttered environments with perception and localization uncertainty. To generate trajectories that avoid collisions during the pursuit process, we propose the chance-constraint pursuit Voronoi… read more here.
Keywords: aerial vehicles; pursuit; localization uncertainty; autonomous aerial ... See more keywords