Drones have recently become one of the most important technological breakthroughs. They have opened the horizon for a vast array of applications and paved the way for a diversity of …
The key objective of unmanned aerial vehicle (UAV) path planning is to produce a flight path that connects a start state and a goal state while meeting the required constraints …
B Li, Y Wu - IEEE access, 2020 - ieeexplore.ieee.org
In this paper, we focus on the study of UAV ground target tracking under obstacle environments using deep reinforcement learning, and an improved deep deterministic policy …
Z Wenhong, LI Jie, LIU Zhihong, S Lincheng - Chinese Journal of …, 2022 - Elsevier
Abstract Multi-Target Tracking Guidance (MTTG) in unknown environments has great potential values in applications for Unmanned Aerial Vehicle (UAV) swarms. Although Multi …
Due to their distinctive features, unmanned aerial vehicles (UAVs) have been recently exploited to support a wide range of applications. The features include low maintenance …
W Zhou, Z Liu, J Li, X Xu, L Shen - Neurocomputing, 2021 - Elsevier
In recent years, deep reinforcement learning (DRL) has proved its great potential in multi- agent cooperation. However, how to apply DRL to multi-target tracking (MTT) problem for …
G Tang, J Ni, Y Zhao, Y Gu, W Cao - Remote Sensing, 2023 - mdpi.com
With the rapid development of object detection technology for unmanned aerial vehicles (UAVs), it is convenient to collect data from UAV aerial photographs. They have a wide …
Smart environmental monitoring has gained prominence, where target localization is of utmost importance. Employing UAVs for localization tasks is appealing owing to their low …