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IEEE Transactions on Vehicular Technology, 2021
This paper proposes a novel fault tolerant control strategy for dynamic positioning of unmanned marine vehicles using the quantized feedback sliding mode control technique. Due to the complex ocean environment, the unmanned marine vehicles are modeled as
Liying Hao +4 more
semanticscholar +1 more source
This paper proposes a novel fault tolerant control strategy for dynamic positioning of unmanned marine vehicles using the quantized feedback sliding mode control technique. Due to the complex ocean environment, the unmanned marine vehicles are modeled as
Liying Hao +4 more
semanticscholar +1 more source
Adversarial Attacks and Defenses for Deep-Learning-Based Unmanned Aerial Vehicles
IEEE Internet of Things Journal, 2021The introduction of deep learning (DL) technology can improve the performance of cyber–physical systems (CPSs) in many ways. However, this also brings new security issues.
Jiwei Tian +5 more
semanticscholar +1 more source
Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges
Computer Communications, 2020Path planning is one of the most important problems to be explored in unmanned aerial vehicles (UAVs) for finding an optimal path between source and destination.
Shubhani Aggarwal, Neeraj Kumar
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Review of Path Planning Algorithms for Unmanned Vehicles
2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), 2021The knowledge of unmanned vehicles path planning algorithm is introduced. Firstly, the basic concept and steps of path planning are described. Secondly, it introduces Dijkstra algorithm, A-Star algorithm, RRT algorithm, PRM algorithm and other typical ...
Yunyi Shen, Jian Liu, Yasong Luo
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2007 IEEE 15th Signal Processing and Communications Applications, 2007
In this study, we developed an unmanned car which communicates with a computer via wireless equipment. Hardware consists of two communication modules - one at the car side and the other at the computer side - and a control module at the car side. This "smart car" can move from the current point to a desired destination point by itself using the maps ...
Omer Faruk Sunnetcioglu +2 more
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In this study, we developed an unmanned car which communicates with a computer via wireless equipment. Hardware consists of two communication modules - one at the car side and the other at the computer side - and a control module at the car side. This "smart car" can move from the current point to a desired destination point by itself using the maps ...
Omer Faruk Sunnetcioglu +2 more
openaire +1 more source
Internet of Things, 2020
Internet of Things (IoT) and Unmanned Aerial Vehicles (UAVs) are two hot technologies utilized in cultivation fields, which transform traditional farming practices into a new era of precision agriculture.
A. Boursianis +8 more
semanticscholar +1 more source
Internet of Things (IoT) and Unmanned Aerial Vehicles (UAVs) are two hot technologies utilized in cultivation fields, which transform traditional farming practices into a new era of precision agriculture.
A. Boursianis +8 more
semanticscholar +1 more source
Vehicle Assisted Computing Offloading for Unmanned Aerial Vehicles in Smart City
IEEE transactions on intelligent transportation systems (Print), 2021Smart city emerges a promising paradigm for improving operational efficiency of city and comfort of people. With embedded multi-sensors, Unmanned Aerial Vehicles (UAVs) hold great potential for collecting sensing data and providing social services in ...
Minghui Dai +3 more
semanticscholar +1 more source
2020
Unmanned aerial vehicles, otherwise known as drones, are unmanned aircraft that uses radio control equipment and an independent program control device. This includes unmanned helicopters, fixed-wing aircraft, multi-rotor aircraft, unmanned airships, and parawings.
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Unmanned aerial vehicles, otherwise known as drones, are unmanned aircraft that uses radio control equipment and an independent program control device. This includes unmanned helicopters, fixed-wing aircraft, multi-rotor aircraft, unmanned airships, and parawings.
openaire +2 more sources
2018
The multi-DOF dynamic model of unmanned aerial vehicles (UAVs) is a highly nonlinear one and its control can be performed again with (i) global linearization control methods, (ii) local linearization control methods and (iii) Lyapunov analysis-based methods.
Gerasimos Rigatos, Krishna Busawon
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The multi-DOF dynamic model of unmanned aerial vehicles (UAVs) is a highly nonlinear one and its control can be performed again with (i) global linearization control methods, (ii) local linearization control methods and (iii) Lyapunov analysis-based methods.
Gerasimos Rigatos, Krishna Busawon
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2021
Last January, the General Secretariat of the Council of the European Union produced an estimate that, by the year 2035, the drones' sector will create up to 100,000 new jobs and, in addition, will have an economic impact of more than ten billion euros per year. This chapter takes its cue precisely from the central importance of unmanned aerial vehicles,
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Last January, the General Secretariat of the Council of the European Union produced an estimate that, by the year 2035, the drones' sector will create up to 100,000 new jobs and, in addition, will have an economic impact of more than ten billion euros per year. This chapter takes its cue precisely from the central importance of unmanned aerial vehicles,
openaire +1 more source