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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Interpreting Development of Unmanned Aerial Vehicles using Systems Thinking
Interdisciplinary Description of Complex Systems, 2013 Rapid present development of unmanned aerial vehicles is rather unstructured. Starting from general systems theory we formulate classification of unmanned aerial vehicles (UAVs) that properly groups diverse produced unmanned aerial vehicles, along with ...
Josip Stepanić +3 more
doaj
Study on Cooperative Anti-submarine Warfare of the MMA and UAVS
Hangkong gongcheng jinzhan, 2018 The multimission maritime aircraft(MMA) will be the major air force for anti-submarine warfare and intelligence, surveillance, reconnaissance campaign on the sea.
Li Xiaowei, Duan Zhuoyi
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 +2 more
wiley +1 more source
Вестник Дагестанского государственного технического университета: Технические науки, 2018 Objectives The aim of the study is to increase the effectiveness of unmanned aerial vehicles (UAVs) in the context of destabilising meteorological factors on the basis of an identification of links and patterns of unmanned aerial vehicles operating in ...
I. E. Kuznetsov +3 more
doaj +1 more source
Unmanned aerial vehicle (UAV) images of road vehicles dataset
Data in BriefThe Intelligent Transportation System (ITS) seeks to improve traffic flow to guarantee transportation safety. One of the ITS's fundamental tenets is identifying and classifying vehicles into various classes. Although the issues related to small size, variety of forms, and similarity in visual appearance of the vehicles, as well as the influence of the ...
Nama Ezzaalddin Mustafa, Fattah Alizadeh
openaire +3 more sources
Commercial drone research takes off at VCU [PDF]
, 2016 As microprocessors and mounted cameras have become smaller, unmanned aerial vehicles, commonly known as drones, have skyrocketed in popularity. But UAVs aren’t just child’s play.
Forcier, Joe
core +1 more source
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 +5 more
wiley +1 more source
Special Issue on Unmanned Aerial Vehicles
Applied Sciences, 2023 Unmanned Aerial Vehicles (UAVs) are recognized as very useful tools to replace, help, or assist humans in various missions, such as inspection and monitoring, surveillance, search and rescue, exploration, logistics and transportation, etc [...]
Sylvain Bertrand, Hyo-Sang Shin
doaj +1 more source
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 +3 more
wiley +1 more source