Y Liu, D Liu, B Wang, B Chen - … & Data Analytics in the era of …, 2022 - ieeexplore.ieee.org
With the increasing use of Unmanned Aerial Vehicles (UAVs) in various fields, the coordinated execution of tasks by multiple UAVs has become an important development …
AK Nair, J Sahoo, ED Raj - … of the 7th International Conference on …, 2024 - dl.acm.org
With the growing popularity of lightweight flying systems, unethical usage of UAVs has become a concern from privacy and security perspectives. Existing detection approaches …
Q Liu, B Tian, X Zhang, J Lu, Z Li - arXiv preprint arXiv:2407.17392, 2024 - arxiv.org
Formation flight of unmanned aerial vehicles (UAVs) poses significant challenges in terms of safety and formation keeping, particularly in cluttered environments. However, existing …
J Xiao, P Pisutsin, CW Tsao, M Feroskhan - arXiv preprint arXiv …, 2024 - arxiv.org
UAV tracking and pose estimation plays an imperative role in various UAV-related missions, such as formation control and anti-UAV measures. Accurately detecting and tracking UAVs …
W Yin, Z Ye, Y Peng, W Liu - 2023 4th International Conference …, 2023 - ieeexplore.ieee.org
Visible single-target tracking is an important research direction in computer vision. Recently, twin networks have shown strong performance in target tracking. Although there have been …
X Xiao, Z Wan, Y Li, S Guo, J Tie, L Wang - International Conference on …, 2023 - Springer
In recent years, the widespread application of UAVs has caused threats to public security and personal privacy. This paper presents a fast and low-cost method for UAV detection and …
TV Puthanveettil - arXiv preprint arXiv:2405.11655, 2024 - arxiv.org
Object tracking is a fundamental task in computer vision with broad practical applications across various domains, including traffic monitoring, robotics, and autonomous vehicle …
RA Saeed, NAN Elmadina - … of Machine Learning in UAV Networks, 2024 - igi-global.com
This chapter provides an overview of the diverse applications of ML in UAVs for object and people detection and tracking. It begins by examining the current landscape of ML-driven …