Unmanned Aerial Vehicles (UAVs) represent a rapidly increasing technology with profound implications for various domains, including surveillance, security, and commercial …
E Kuantama, Y Zhang, F Rahman, R Han… - Expert Systems with …, 2024 - Elsevier
The capabilities of drones are increasing every day, as is the ease with which civilians can buy and fly them. Most drones are equipped with a camera that is used by a point-of-view …
In this work, we consider the joint use of different passive sensors for the localization and tracking of human targets and small drones at short ranges, based on the parasitic …
Using Uncrewed Aerial Vehicles (UAVs) to monitor the condition of nodal transportation assets—airports, seaports, heliports, vertiports, and cargo terminals—presents a …
International airports play a significant role in a country's economic development. We propose an integrated framework for operational efficiency analysis using Data …
M Zuo, S Xie, X Zhang, M Yang - Sensors, 2021 - mdpi.com
In this paper, a weighted l1-norm is proposed in a l1-norm-based singular value decomposition (L1-SVD) algorithm, which can suppress spurious peaks and improve …
Detection and classification of drones have become crucial due to their potential usage in illicit activities. Radar systems can provide a promising solution to this needed task when …
X Wei, J Ma, C Sun - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
With the wide application of unmanned aerial vehicles (UAVs), security problems of UAV systems are gradually exposed, which bring great risks to UAV application. This paper …
AY Alin, K Kusrini, KA Yuana - IJCCS (Indonesian Journal of …, 2023 - journal.ugm.ac.id
Drone object detection is one of the main applications of image processing technology and pattern recognition using deep learning. However, the limited drone image data that can be …