A Review: The Survey of Attitude Estimation in Autonomous UAV Navigation

DOI

10.2991/wcnme-19.2019.12How to use a DOI?

Keywords

autonomous unmanned aerial vehicle (UAV); attitude estimation; kalman filter (KF)

Abstract

Recently, UAV has been widely used in various fields. The attitude estimation of autonomous UAV is an important basis for its autonomous flight mission. The attitude estimation technique based on GNSS is a traditional positioning method. However, it is a challenge to provide a high precision estimation when GNSS signal cannot be used. This paper summarizes the research status of attitude estimation based on vision or other multi-sensors when GNSS signal is not available. And the various improved methods of KF in UAV attitude positioning are introduced. Then the attitude estimation methods of UAV in multi-aircraft cooperative flight are analyzed. In the end, several issues worthy of attention in the further research are proposed. It should contribute to the further research on autonomous UAV navigation.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhaomin Ma
AU  - Zhengqiang Chen
AU  - Ling Huang
PY  - 2019/06
DA  - 2019/06
TI  - A Review: The Survey of Attitude Estimation in Autonomous UAV Navigation
BT  - Proceedings of the 2019 International Conference on Wireless Communication, Network and Multimedia Engineering (WCNME 2019)
PB  - Atlantis Press
SP  - 50
EP  - 53
SN  - 2352-538X
UR  - https://doi.org/10.2991/wcnme-19.2019.12
DO  - 10.2991/wcnme-19.2019.12
ID  - Ma2019/06
ER  -