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The Realtime Indoor Localization Unmanned Aerial Vehicle
Localization is an important issue for UAV (Unmanned Aerial Vehicle) applications. This paper proposes a localization algorithm based on the...
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Joint task scheduling and multi-UAV deployment for aerial computing in emergency communication networks
This article studies mobile edge computing technologies enabled by unmanned aerial vehicles (UAVs) in disasters. First, considering that the ground...
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A traffic-aware Q-network enhanced routing protocol based on GPSR for unmanned aerial vehicle ad-hoc networks
In dense traffic unmanned aerial vehicle (UAV) ad-hoc networks, traffic congestion can cause increased delay and packet loss, which limit the...
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Insights into aerial intelligence: assessing CNN-based algorithms for human action recognition and object detection in diverse environments
Today’s era follows a data-driven decision process for large-scale environment analysis. Aerial view-based decision process plays a key role in...
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Classification and Tracking of Vehicles Using Videos Captured by Unmanned Aerial Vehicles
Road congestion levels currently seen in the main cities of the world, have generated problems associated with environmental air quality, road safety...
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iDrone: IoT-Enabled Unmanned Aerial Vehicles for Detecting Wildfires Using Convolutional Neural Networks
The rise of global temperatures, over the past few decades, has disrupted the usual balance of nature. As a result of increasing temperatures,...
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Vision-less autonomous tracking and landing of a micro aerial vehicle on a slow maneuvering ground moving target using distance sensors
Camera and GPS technologies are often used in aerial vehicles for autonomous tracking and landing on ground moving vehicles. However, these...
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Georeferencing High-Altitude Aerial Imagery
High-altitude balloons (HAB), allied with flying-wing unmanned aerial vehicles (UAV), may play an important role in fire monitoring. Due to their...
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Leader-following flocking for unmanned aerial vehicle swarm with distributed topology control
To address the flocking issues of an unmanned aerial vehicle (UAV) swarm operating at a leader-follower mode, distributed control protocols...
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Two-phase multi-expert knowledge approach by using fuzzy clustering and rule-based system for technology evaluation of unmanned aerial vehicles
Unmanned aerial vehicles (UAVs) are utilized in many different areas for different aims such as the benefit of humanity, safety control, traffic...
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Reconnaissance in Complex Environment with No-Fly Zones Using a Swarm of Unmanned Aerial Vehicles
This paper presents the model of reconnaissance of the area of interest performed by a swarm of cooperative Unmanned Aerial Vehicles. The...
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A Multi-Point Distance-Bounding Protocol for Securing Automatic Dependent Surveillance-Broadcast in Unmanned Aerial Vehicle Applications
The Automatic Dependent Surveillance-Broadcast (ADS-B) protocol is being adopted for use in unmanned aerial vehicles (UAVs) as the primary source of...
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Deep learning based high performance classification architecture for low-altitude aerial images
One of the major factors creating advance prospects in the aerial imaging classification solutions market is the recently published drone policies by...
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AP-TransNet: a polarized transformer based aerial human action recognition framework
Drones are widespread and actively employed in a variety of applications due to their low cost and quick mobility and enabling new forms of action...
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Small target detection in drone aerial images based on feature fusion
The use of object detection technology in unmanned aerial vehicles is a crucial area of research in computer vision. Aerial images captured by drones...
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Target-aware pooling combining global contexts for aerial tracking
The UAVs captured targets are relatively small when compared with the ordinary surveillance cameras. Thus, a strong discriminative ability is...
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Constraint programming approaches to electric vehicle and robot routing problems
Driven by global efforts to curb greenhouse gas emissions, there has been significant investment in electric vehicle (EV) technology in recent years,...
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Meta-transfer Learning for Person Re-identification in Aerial Imagery
Person re-identification (Re-ID) aims to retrieve a person of interest across multiple nonoverlap** cameras. In the last few years, the...
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Nonlinear ELM estimator-based path-following control for perturbed unmanned marine systems with prescribed performance
This paper is concerned with the robust path-following control problem for a class of perturbed unmanned marine systems with prescribed performance...
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Research on Key Intelligent System in Unmanned Surface Vessel
With the rapid development of automated control and mobile communication technologies, unmanned ship technology is a derivative product of robotics....