Short-term 4D trajectory prediction for UAV based on spatio-temporal trajectory clustering

G Zhong, H Zhang, J Zhou, J Zhou, H Liu - IEEE Access, 2022 - ieeexplore.ieee.org
To improve the trajectory prediction accuracy of unmanned aerial vehicles (UAVs) with
random behavior intentions, this paper presents a short-term four-dimensional (4D) …

A deep mixture of experts network for drone trajectory intent classification and prediction using non-cooperative radar data

B Fraser, A Perrusquía… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
The intent prediction of unmanned aerial vehicles (UAVs) also known as drones is a
challenging task due to the different mission profiles and tasks that the drone can perform …

[HTML][HTML] VECTOR: velocity-enhanced GRU neural network for real-time 3D UAV trajectory prediction

O Nacar, M Abdelkader, L Ghouti, K Gabr, A Al-Batati… - Drones, 2024 - mdpi.com
This paper addresses the challenge of predicting 3D trajectories for Unmanned Aerial
Vehicles (UAVs) in real-time, a critical task for applications like aerial surveillance and …

A classification method for urban functional regions based on the transfer rate of empty cars

Z Xu, J Li, Z Lv, C Dong, L Fu - IET Intelligent Transport …, 2022 - Wiley Online Library
Predicting the nature of each urban functional region based on the transfer rate of empty
cars plays a crucial role in constructing smart cities and urban planning. The transfer rate of …

Real-time trajectory prediction method for intelligent connected vehicles in urban intersection scenarios

P Wang, H Yu, C Liu, Y Wang, R Ye - Sensors, 2023 - mdpi.com
Intelligent connected vehicles (ICVs) have played an important role in improving the
intelligence degree of transportation systems, and improving the trajectory prediction …

Trajectory Intent Prediction of Autonomous Systems Using Dynamic Mode Decomposition

A Perrusquía, Z Wei, W Guo - IEEE Transactions on Systems …, 2024 - ieeexplore.ieee.org
Proliferation of autonomous systems have increased the threat space and the economic risk
in several national infrastructures, eg, at airports. Therefore, reliable detection of their …

A two-stages unsupervised/supervised statistical learning approach for drone behaviour prediction

G Singh, A Perrusquía, W Guo - 2023 9th International …, 2023 - ieeexplore.ieee.org
Drones are prone to abuse due to their low cost and their pool of potential illegal
applications that can compromise safety of national infrastructures and facilities. Hence …

[HTML][HTML] Conflict risk assessment between non-cooperative drones and manned aircraft in airport terminal areas

R Zhu, Z Yang, J Chen - Applied Sciences, 2022 - mdpi.com
Recent years have seen an increase in events of drone incursion into airport terminal areas,
leading to safety concerns and disruptions to airline operations. It is of great importance to …

基于立体视觉的目标检测与轨迹预测研究综述.

胡春生, 闫小鹏, 魏红星… - Journal of Computer …, 2022 - search.ebscohost.com
目前基于立体视觉信息的运动目标识别定位, 跟踪及轨迹预测是机器视觉领域的研究热点.
通过归纳整理相关文献, 从双目立体视觉技术, 运动目标检测技术, 运动目标轨迹预测技术三个 …

[HTML][HTML] Modeling the Solution of the Pursuit–Evasion Problem Based on the Intelligent–Geometric Control Theory

M Khachumov, V Khachumov - Mathematics, 2023 - mdpi.com
An important action-planning problem is considered for participants of the pursuit–evasion
game with multiple pursuers and a high-speed evader. The objects of study are mobile …