[HTML][HTML] UAV Detection and Tracking in Urban Environments Using Passive Sensors: A Survey

X Yan, T Fu, H Lin, F Xuan, Y Huang, Y Cao, H Hu… - Applied Sciences, 2023 - mdpi.com
Unmanned aerial vehicles (UAVs) have gained significant popularity across various
domains, but their proliferation also raises concerns about security, public safety, and …

Risks of Drone Use in Light of Literature Studies

AA Tubis, H Poturaj, K Dereń, A Żurek - Sensors, 2024 - mdpi.com
This article aims to present the results of a bibliometric analysis of relevant literature and
discuss the main research streams related to the topic of risks in drone applications. The …

[HTML][HTML] Drone Detection and Tracking Using RF Identification Signals

D Aouladhadj, E Kpre, V Deniau, A Kharchouf… - Sensors, 2023 - mdpi.com
The market for unmanned aerial systems (UASs) has grown considerably worldwide, but
their ability to transmit sensitive information poses a threat to public safety. To counter these …

[HTML][HTML] Reconstructing the trajectory of the object's motion on the basis of measuring the components of its velocity

P Ligęza - Measurement, 2023 - Elsevier
The article considers the problem of reconstructing the course of physical quantities whose
measurement is not directly available, but it is possible to measure their time or spatial …

[HTML][HTML] Artificial Intelligence Applied to Drone Control: A State of the Art

D Caballero-Martin, JM Lopez-Guede, J Estevez… - Drones, 2024 - mdpi.com
The integration of Artificial Intelligence (AI) tools and techniques has provided a significant
advance in drone technology. Besides the military applications, drones are being …

Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization

RA Zitar, E Alhadhrami, L Abualigah… - Neural Computing and …, 2024 - Springer
This paper presents a novel hybrid optimization method to solve the resource allocation
problem for multi-target multi-sensor tracking of drones. This hybrid approach, the Improved …

Detection and tracking of floating objects based on spatial-temporal information fusion

C Renfei, W Jian, P Yong, L Zhongwen… - Expert Systems with …, 2023 - Elsevier
Floating materials seriously damage the landscape and ecosystem of rivers and visual
surveillance has become an important technique for improving the water environment …

[HTML][HTML] Kalman filtering to reduce measurement noise of sample entropy: An electroencephalographic study

N Zhang, Y Zhai, Y Li, J Zhou, M Zhai, C Tang, K Xie - PloS one, 2024 - journals.plos.org
In the analysis of electroencephalography (EEG), entropy can be used to quantify the rate of
generation of new information. Entropy has long been known to suffer from variance that …

Control Barrier Function Based UAV Safety Controller in Autonomous Airborne Tracking and Following Systems

P Panja, JB Hoagg, S Baidya - arXiv preprint arXiv:2312.17215, 2023 - arxiv.org
Safe operations of UAVs are of paramount importance for various mission-critical and safety-
critical UAV applications. In context of airborne target tracking and following, UAVs need to …

Game Theoretic Non‐cooperative Dynamic Target Tracking for Directional Sensing‐Enabled Unmanned Aerial Vehicles

P Yi, G Jin, W Wang - Advanced Intelligent Systems, 2024 - Wiley Online Library
In this article, a game theoretic non‐cooperative dynamic target tracking algorithm that
empowers defensive unmanned aerial vehicles (UAVs), with directional sensing capabilities …