Traffic-aware UAV placement using a generalizable deep reinforcement learning methodology

EN Almeida, R Campos… - 2022 IEEE Symposium on …, 2022 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) acting as Flying Access Points (FAPs) are being used to
provide on-demand wireless connectivity in extreme scenarios. Despite ongoing research …

Box-grained reranking matching for multi-camera multi-target tracking

X Yang, J Ye, J Lu, C Gong, M Jiang… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract Multi-Camera Multi-Target tracking (MCMT) is an essential task in intelligent
transportation systems. It is highly challenging due to several problems such as heavy …

Drones in the Big City: Autonomous Collision Avoidance for Aerial Delivery Services

FMC de Oliveira, LF Bittencourt… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
As delivery companies continue to explore the use of drones, the need for efficient and safe
operation in urban environments becomes increasingly critical. Market-wide versions of …

A robust mtmc tracking system for ai-city challenge 2021

J Ye, X Yang, S Kang, Y He, W Zhang… - Proceedings of the …, 2021 - openaccess.thecvf.com
Abstract Multi-Target Multi-Camera tracking (MTMC) is an essential task in the intelligent city
and traffic analysis. It is a great challenging task due to several problems such as heavy …

Design challenges of multi-UAV systems in cyber-physical applications: A comprehensive survey and future directions

R Shakeri, MA Al-Garadi, A Badawy… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have recently rapidly grown to facilitate a wide range of
innovative applications that can fundamentally change the way cyber-physical systems …

Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking

Y Zhu, M Chen, S Wang, Y Hu, Y Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, the problem of using one active unmanned aerial vehicle (UAV) and four
passive UAVs to localize a 3D target UAV in real time is investigated. In the considered …

Low-cost UAV detection via WiFi traffic analysis and machine learning

L Bi, ZX Xu, L Yang - Scientific Reports, 2023 - nature.com
In recent years, unmanned aerial vehicles (UAVs) have undergoing experienced
remarkable advancements. Nevertheless, the growing utilization of UAVs brings forth …

Efficient single-shot multi-object tracking for vehicles in traffic scenarios

Y Lee, S Lee, J Yoo, S Kwon - Sensors, 2021 - mdpi.com
Multi-object tracking is a significant field in computer vision since it provides essential
information for video surveillance and analysis. Several different deep learning-based …

A space-time network-based modeling framework for dynamic unmanned aerial vehicle routing in traffic incident monitoring applications

J Zhang, L Jia, S Niu, F Zhang, L Tong, X Zhou - Sensors, 2015 - mdpi.com
It is essential for transportation management centers to equip and manage a network of fixed
and mobile sensors in order to quickly detect traffic incidents and further monitor the related …

Learning to Deployment: Data-Driven On-Demand UAV Placement for Throughput Maximization

L Wang, H Zhang, S Guo, D Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) communications appear to be one of the most promising
paradigms for future wireless communication networks, because of their high flexibility in …