Anomaly detection in road traffic using visual surveillance: A survey
Computer vision has evolved in the last decade as a key technology for numerous
applications replacing human supervision. Timely detection of traffic violations and …
applications replacing human supervision. Timely detection of traffic violations and …
Internet of drones security: Taxonomies, open issues, and future directions
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 …
have opened the horizon for a vast array of applications and paved the way for a diversity of …
Survey on computational-intelligence-based UAV path planning
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 …
that connects a start state and a goal state while meeting the required constraints …
Path planning for UAV ground target tracking via deep reinforcement learning
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 …
environments using deep reinforcement learning, and an improved deep deterministic policy …
[HTML][HTML] Improving multi-target cooperative tracking guidance for UAV swarms using multi-agent reinforcement learning
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 …
potential values in applications for Unmanned Aerial Vehicle (UAV) swarms. Although Multi …
A survey of indoor and outdoor uav-based target tracking systems: Current status, challenges, technologies, and future directions
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 …
exploited to support a wide range of applications. The features include low maintenance …
Multi-target tracking for unmanned aerial vehicle swarms using deep reinforcement learning
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 …
agent cooperation. However, how to apply DRL to multi-target tracking (MTT) problem for …
A survey of object detection for UAVs based on deep learning
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 …
(UAVs), it is convenient to collect data from UAV aerial photographs. They have a wide …
Reinforcement learning framework for UAV-based target localization applications
Smart environmental monitoring has gained prominence, where target localization is of
utmost importance. Employing UAVs for localization tasks is appealing owing to their low …
utmost importance. Employing UAVs for localization tasks is appealing owing to their low …
[HTML][HTML] 移动机器人运动规划中的深度强化学习方法
孙辉辉， 胡春鹤， 张军国 - 控制与决策, 2021 - kzyjc.alljournals.cn
随着移动机器人作业环境复杂度的提高, 随机性的增强, 信息量的减少, 移动机器人的运动规划
能力受到了严峻的挑战. 研究移动机器人高效自主的运动规划理论与方法 …
能力受到了严峻的挑战. 研究移动机器人高效自主的运动规划理论与方法 …