A memetic path planning algorithm for unmanned air/ground vehicle cooperative detection systems
The studies of Unmanned Air/Ground Vehicle (UAV/UGV) cooperative detection systems
have received much attention due to their wide applications in the disaster rescue, target …
have received much attention due to their wide applications in the disaster rescue, target …
Machine learning-based delay-aware UAV detection and operation mode identification over encrypted Wi-Fi traffic
A Alipour-Fanid, M Dabaghchian… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The consumer unmanned aerial vehicle (UAV) market has grown significantly over the past
few years. Despite its huge potential in spurring economic growth by supporting various …
few years. Despite its huge potential in spurring economic growth by supporting various …
Parallel architecture for low latency UAV detection and tracking using robotic telescopes
D Ojdanić, C Naverschnigg, A Sinn… - … on Aerospace and …, 2024 - ieeexplore.ieee.org
This article presents the implementation of a multithreaded parallel architecture, which
enables telescope-based optical unmanned aerial vehicle (UAV) detection and tracking in …
enables telescope-based optical unmanned aerial vehicle (UAV) detection and tracking in …
Dronesense: The identification, segmentation, and orientation detection of drones via neural networks
The growing ubiquity of drones has raised concerns over the ability of traditional air-space
monitoring technologies to accurately characterise such vehicles. Here, we present a CNN …
monitoring technologies to accurately characterise such vehicles. Here, we present a CNN …
Machine learning-based delay-aware UAV detection over encrypted Wi-Fi traffic
A Alipour-Fanid, M Dabaghchian… - … IEEE Conference on …, 2019 - ieeexplore.ieee.org
In this paper, we propose a machine learning-based framework for fast UAV (unmanned
aerial vehicle) detection and identification over encrypted Wi-Fi traffic. It is motivated by the …
aerial vehicle) detection and identification over encrypted Wi-Fi traffic. It is motivated by the …
Research for the presence of unmanned aerial vehicle inside closed environments with acoustic measurements
G Ciaburro, G Iannace, A Trematerra - Buildings, 2020 - mdpi.com
Small UAVs (unmanned aerial vehicle) can be used in many sectors such as the acquisition
of images or the transport of objects. Small UAVs have also been used for terrorist activities …
of images or the transport of objects. Small UAVs have also been used for terrorist activities …
Acoustical unmanned aerial vehicle detection in indoor scenarios using logistic regression model
G Iannace, G Ciaburro, A Trematerra - Building Acoustics, 2021 - journals.sagepub.com
In this study, the data obtained from the acoustic measurements were used to train a model
based on logistic regression in order to detect a quadrotor's vehicle in indoor environment …
based on logistic regression in order to detect a quadrotor's vehicle in indoor environment …
Terrain classification using WK filter and 3D navigation with static collision avoidance
The ability to autonomously navigate in an unknown and dynamic environment avoiding
obstacles while, at the same time, classify various types of terrain are challenges that have …
obstacles while, at the same time, classify various types of terrain are challenges that have …
[HTML][HTML] Precision Landing for Low-Maintenance Remote Operations with UAVs
This work proposes a fully integrated ecosystem composed of three main components with a
complex goal: to implement an autonomous system with a UAV requiring little to no …
complex goal: to implement an autonomous system with a UAV requiring little to no …
Image recognition of small UAVs based on faster RCNN
J Zhao, S Wei, H Xie, H Zhong - … of the 2020 4th International Conference …, 2020 - dl.acm.org
Image recognition of small UAVs is the basis of anti-UAV technology based on photoelectric
detection. In this paper, an automatic image recognition method for small UAVs based on …
detection. In this paper, an automatic image recognition method for small UAVs based on …