Evidential detection and tracking collaboration: New problem, benchmark and algorithm for robust anti-uav system

XF Zhu, T Xu, J Zhao, JW Liu, K Wang, G Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Unmanned Aerial Vehicles (UAVs) have been widely used in many areas, including
transportation, surveillance, and military. However, their potential for safety and privacy …

Fast and robust UAV to UAV detection and tracking from video

J Li, DH Ye, M Kolsch, JP Wachs… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) technology is being increasingly used in a wide variety of
applications ranging from remote sensing, to delivery and security. As the number of UAVs …

Differentiated attention guided network over hierarchical and aggregated features for intelligent uav surveillance

H Fang, Z Liao, X Wang, Y Chang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Intelligent unmanned aerial vehicle (UAV) surveillance based on infrared imaging has wide
applications in the anti-UAV system for protecting urban security and aerial safety. However …

Multi-Modal UAV Detection, Classification and Tracking Algorithm--Technical Report for CVPR 2024 UG2 Challenge

T Deng, Y Zhou, W Wu, M Li, J Huang, S Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
This technical report presents the 1st winning model for UG2+, a task in CVPR 2024 UAV
Tracking and Pose-Estimation Challenge. This challenge faces difficulties in drone …

A UAV Video Data Generation Framework for Improved Robustness of UAV Detection Methods

C Symeonidis, C Anastasiadis… - 2022 IEEE 24th …, 2022 - ieeexplore.ieee.org
Recent advances have facilitated the development and popularization of Unmanned Aerial
Vehicles (UAVs) that can operate semi or fully autonomously. The real-time, accurate visual …

[HTML][HTML] A Survey on Vision-Based Anti Unmanned Aerial Vehicles Methods

B Wang, Q Li, Q Mao, J Wang, CLP Chen… - Drones, 2024 - mdpi.com
The rapid development and widespread application of Unmanned Aerial Vehicles (UAV)
have raised significant concerns about safety and privacy, thus requiring powerful anti-UAV …

DANet: Multi-scale UAV Target Detection with Dynamic Feature Perception and Scale-aware Knowledge Distillation

H Fang, Z Liao, L Wang, Q Li, Y Chang, L Yan… - Proceedings of the 31st …, 2023 - dl.acm.org
Multi-scale infrared unmanned aerial vehicle (UAV) targets (IRUTs) detection under dynamic
scenarios remains a challenging task due to weak target features, varying shapes and …

Vision-based anti-uav detection and tracking

J Zhao, J Zhang, D Li, D Wang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAV) have been widely used in various fields, and their invasion
of security and privacy has aroused social concern. Several detection and tracking systems …

Unmanned aerial vehicle visual detection and tracking using deep neural networks: A performance benchmark

BKS Isaac-Medina, M Poyser… - Proceedings of the …, 2021 - openaccess.thecvf.com
Abstract Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to
both negligent and malicious use. For this reason, the automated detection and tracking of …

STEAM: Spatial Trajectory Enhanced Attention Mechanism for Abnormal UAV Trajectory Detection

N Yoon, D Lee, K Kim, T Yoo, H Joo, H Kim - Applied Sciences, 2023 - mdpi.com
Accurate unmanned aerial vehicle (UAV) trajectory tracking is crucial for the successful
execution of UAV missions. Traditional global positioning system (GPS) methods face …