Cargando…

Deep Reinforcement Learning-Based End-to-End Control for UAV Dynamic Target Tracking

Uncertainty of target motion, limited perception ability of onboard cameras, and constrained control have brought new challenges to unmanned aerial vehicle (UAV) dynamic target tracking control. In virtue of the powerful fitting ability and learning ability of the neural network, this paper proposes...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhao, Jiang, Liu, Han, Sun, Jiaming, Wu, Kun, Cai, Zhihao, Ma, Yan, Wang, Yingxun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680462/ https://www.ncbi.nlm.nih.gov/pubmed/36412725 http://dx.doi.org/10.3390/biomimetics7040197

Ejemplares similares

MNNMs Integrated Control for UAV Autonomous Tracking Randomly Moving Target Based on Learning Method
por: Li, Mingjun, et al.
Publicado: (2021)

UAV Autonomous Tracking and Landing Based on Deep Reinforcement Learning Strategy
por: Xie, Jingyi, et al.
Publicado: (2020)

End-to-End Deep One-Class Learning for Anomaly Detection in UAV Video Stream
por: Hamdi, Slim, et al.
Publicado: (2021)

Unified Accurate Attitude Control for Dual-Tiltrotor UAV with Cyclic Pitch Using Actuator Dynamics Compensated LADRC
por: Wang, Zexin, et al.
Publicado: (2022)

A Bio-Inspired Decision-Making Method of UAV Swarm for Attack-Defense Confrontation via Multi-Agent Reinforcement Learning
por: Chi, Pei, et al.
Publicado: (2023)

End-to-End Autonomous Exploration with Deep Reinforcement Learning and Intrinsic Motivation
por: Ruan, Xiaogang, et al.
Publicado: (2021)

Proactive Handover Decision for UAVs with Deep Reinforcement Learning
por: Jang, Younghoon, et al.
Publicado: (2022)

Application of Deep Reinforcement Learning to UAV Swarming for Ground Surveillance
por: Arranz, Raúl, et al.
Publicado: (2023)

End-to-End Autonomous Navigation Based on Deep Reinforcement Learning with a Survival Penalty Function
por: Jeng, Shyr-Long, et al.
Publicado: (2023)

Reinforcement Learning-Based End-to-End Parking for Automatic Parking System
por: Zhang, Peizhi, et al.
Publicado: (2019)

An End-to-End Deep Reinforcement Learning-Based Intelligent Agent Capable of Autonomous Exploration in Unknown Environments
por: Ramezani Dooraki, Amir, et al.
Publicado: (2018)

Cooperative Search Method for Multiple UAVs Based on Deep Reinforcement Learning
por: Gao, Mingsheng, et al.
Publicado: (2022)

An Intuitive End-to-End Human-UAV Interaction System for Field Exploration
por: Jiao, Ran, et al.
Publicado: (2020)

A UAV Maneuver Decision-Making Algorithm for Autonomous Airdrop Based on Deep Reinforcement Learning
por: Li, Ke, et al.
Publicado: (2021)

Deep Reinforcement Learning for UAV Trajectory Design Considering Mobile Ground Users
por: Lee, Wonseok, et al.
Publicado: (2021)

Airborne Visual Detection and Tracking of Cooperative UAVs Exploiting Deep Learning
por: Opromolla, Roberto, et al.
Publicado: (2019)

End-to-End Deep Learning of Non-rigid Groupwise Registration and Reconstruction of Dynamic MRI
por: Yang, Junwei, et al.
Publicado: (2022)

VIAE-Net: An End-to-End Altitude Estimation through Monocular Vision and Inertial Feature Fusion Neural Networks for UAV Autonomous Landing
por: Zhang, Xupei, et al.
Publicado: (2021)

Moving Object Detection and Tracking by Event Frame from Neuromorphic Vision Sensors
por: Zhao, Jiang, et al.
Publicado: (2022)

Research on deep reinforcement learning basketball robot shooting skills improvement based on end to end architecture and multi-modal perception
por: Zhang, Jun, et al.
Publicado: (2023)

Reinforcement Learning Based Topology Control for UAV Networks
por: Yoo, Taehoon, et al.
Publicado: (2023)

End-to-end Deep Learning Inference in CMS software framework
por: CMS Collaboration
Publicado: (2023)

PyTrack: An end-to-end analysis toolkit for eye tracking
por: Ghose, Upamanyu, et al.
Publicado: (2020)

An Improved End-to-End Autoencoder Based on Reinforcement Learning by Using Decision Tree for Optical Transceivers
por: Zhang, Qianwu, et al.
Publicado: (2021)

Deep Reinforcement Learning for End-to-End Local Motion Planning of Autonomous Aerial Robots in Unknown Outdoor Environments: Real-Time Flight Experiments
por: Doukhi, Oualid, et al.
Publicado: (2021)

Remote sensing image description based on word embedding and end-to-end deep learning
por: Wang, Yuan, et al.
Publicado: (2021)

Exploring End-to-end Deep Learning Applications for Event Classification at CMS
por: Andrews, Michael Benjamin, et al.
Publicado: (2018)

Fully end-to-end deep-learning-based diagnosis of pancreatic tumors
por: Si, Ke, et al.
Publicado: (2021)

An End-to-End Deep Learning Approach for State Recognition of Multifunction Radars
por: Xu, Xinsong, et al.
Publicado: (2022)

End-to-End Deep Learning Method for Detection of Invasive Parkinson’s Disease
por: Mahmood, Awais, et al.
Publicado: (2023)

Energy-Efficient UAV Movement Control for Fair Communication Coverage: A Deep Reinforcement Learning Approach
por: Nemer, Ibrahim A., et al.
Publicado: (2022)

Federated Reinforcement Learning Based AANs with LEO Satellites and UAVs
por: Yoo, Seungho, et al.
Publicado: (2021)

GenPADS: Reinforcing politeness in an end-to-end dialogue system
por: Mishra, Kshitij, et al.
Publicado: (2023)

End-to-End Detection of a Landing Platform for Offshore UAVs Based on a Multimodal Early Fusion Approach
por: Neves, Francisco Soares, et al.
Publicado: (2023)

Deep Reinforcement Learning for Data Association in Cell Tracking
por: Wang, Junjie, et al.
Publicado: (2020)

Powering UAV with Deep Q-Network for Air Quality Tracking
por: Mohammed, Alaelddin F. Y., et al.
Publicado: (2022)

Constant Force-Tracking Control Based on Deep Reinforcement Learning in Dynamic Auscultation Environment
por: Zhang, Tieyi, et al.
Publicado: (2023)

UAV Enhanced Target-Barrier Coverage Algorithm for Wireless Sensor Networks Based on Reinforcement Learning
por: Li, Li, et al.
Publicado: (2022)

End-to-end deep learning inference with CMSSW via ONNX using docker
por: Chaudhari, Purva, et al.
Publicado: (2023)

End-to-end deep learning inference with CMSSW via ONNX using Docker
por: Chudasama, Ruchi
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_9dkuk9718d4cq0s7sjea89tf58