Deep Learning-Aided Synthetic Airspeed Estimation of UAVs for Analytical Redundancy With a Temporal Convolutional Network-Reference-Cited by-同舟云学术

Deep Learning-Aided Synthetic Airspeed Estimation of UAVs for Analytical Redundancy With a Temporal Convolutional Network

Published:2022-01 Issue:1 Volume:7 Page:17-24
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Lim Hyungtae^ORCID,Ryu Hanseok^ORCID,Rhudy Matthew B.^ORCID,Lee Dongjin^ORCID,Jang Dongjin,Lee Changho^ORCID,Park Youngmin^ORCID,Youn Wonkeun^ORCID,Myung Hyun^ORCID

Funder

Development of Certification Technology for Small Unmanned Aerial Vehicle Systems

Korea Agency for Infrastructure Technology Advancement

Ministry of Land, Infrastructure and Transport

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

BK21 FOUR

Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9568780/09556573.pdf?arnumber=9556573

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