A Dead Reckoning Method Based on Martian Atmosphere Polarized Skylight and Celestial Navigation for Mars Exploration UAV

Shanpeng Wang; Jian Yang

doi:10.1109/CAC59555.2023.10450638

A Dead Reckoning Method Based on Martian Atmosphere Polarized Skylight and Celestial Navigation for Mars Exploration UAV

Shanpeng Wang
, Jian Yang^*

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Autonomous navigation technology plays a significant role in Mars exploration unmanned aerial vehicles (UAV). Focus on the problem of position error drift caused by the lack of absolute heading information, a dead reckoning method based on Martian atmosphere polarized skylight and celestial navigation is proposed. The navigation reference model of Martian atmosphere polarized skylight is analyzed first. Subsequently, the navigation system model is established to fuse the information of polarization navigation, celestial navigation, optical flow, and inertial navigation system. The Monte Carlo simulation tests show that the proposed method can provided the stable and accurate heading, and the landing accuracy of the Mars UAV is improved.

Original language	English
Title of host publication	Proceedings - 2023 China Automation Congress, CAC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3194-3199
Number of pages	6
ISBN (Electronic)	9798350303759
DOIs	https://doi.org/10.1109/CAC59555.2023.10450638
State	Published - 2023
Event	2023 China Automation Congress, CAC 2023 - Chongqing, China Duration: 17 Nov 2023 → 19 Nov 2023

Publication series

Name	Proceedings - 2023 China Automation Congress, CAC 2023

Conference

Conference	2023 China Automation Congress, CAC 2023
Country/Territory	China
City	Chongqing
Period	17/11/23 → 19/11/23

Keywords

Mars UAV
Martian atmospheric polarization
autonomous navigation
celestial navigation

Access to Document

10.1109/CAC59555.2023.10450638

Cite this

Wang, S., & Yang, J. (2023). A Dead Reckoning Method Based on Martian Atmosphere Polarized Skylight and Celestial Navigation for Mars Exploration UAV. In Proceedings - 2023 China Automation Congress, CAC 2023 (pp. 3194-3199). (Proceedings - 2023 China Automation Congress, CAC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAC59555.2023.10450638

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title = "A Dead Reckoning Method Based on Martian Atmosphere Polarized Skylight and Celestial Navigation for Mars Exploration UAV",

abstract = "Autonomous navigation technology plays a significant role in Mars exploration unmanned aerial vehicles (UAV). Focus on the problem of position error drift caused by the lack of absolute heading information, a dead reckoning method based on Martian atmosphere polarized skylight and celestial navigation is proposed. The navigation reference model of Martian atmosphere polarized skylight is analyzed first. Subsequently, the navigation system model is established to fuse the information of polarization navigation, celestial navigation, optical flow, and inertial navigation system. The Monte Carlo simulation tests show that the proposed method can provided the stable and accurate heading, and the landing accuracy of the Mars UAV is improved.",

keywords = "Mars UAV, Martian atmospheric polarization, autonomous navigation, celestial navigation",

author = "Shanpeng Wang and Jian Yang",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 China Automation Congress, CAC 2023 ; Conference date: 17-11-2023 Through 19-11-2023",

year = "2023",

doi = "10.1109/CAC59555.2023.10450638",

language = "英语",

series = "Proceedings - 2023 China Automation Congress, CAC 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3194--3199",

booktitle = "Proceedings - 2023 China Automation Congress, CAC 2023",

address = "美国",

}

Wang, S & Yang, J 2023, A Dead Reckoning Method Based on Martian Atmosphere Polarized Skylight and Celestial Navigation for Mars Exploration UAV. in Proceedings - 2023 China Automation Congress, CAC 2023. Proceedings - 2023 China Automation Congress, CAC 2023, Institute of Electrical and Electronics Engineers Inc., pp. 3194-3199, 2023 China Automation Congress, CAC 2023, Chongqing, China, 17/11/23. https://doi.org/10.1109/CAC59555.2023.10450638

A Dead Reckoning Method Based on Martian Atmosphere Polarized Skylight and Celestial Navigation for Mars Exploration UAV. / Wang, Shanpeng; Yang, Jian.
Proceedings - 2023 China Automation Congress, CAC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 3194-3199 (Proceedings - 2023 China Automation Congress, CAC 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Wang, Shanpeng

AU - Yang, Jian

PY - 2023

Y1 - 2023

N2 - Autonomous navigation technology plays a significant role in Mars exploration unmanned aerial vehicles (UAV). Focus on the problem of position error drift caused by the lack of absolute heading information, a dead reckoning method based on Martian atmosphere polarized skylight and celestial navigation is proposed. The navigation reference model of Martian atmosphere polarized skylight is analyzed first. Subsequently, the navigation system model is established to fuse the information of polarization navigation, celestial navigation, optical flow, and inertial navigation system. The Monte Carlo simulation tests show that the proposed method can provided the stable and accurate heading, and the landing accuracy of the Mars UAV is improved.

AB - Autonomous navigation technology plays a significant role in Mars exploration unmanned aerial vehicles (UAV). Focus on the problem of position error drift caused by the lack of absolute heading information, a dead reckoning method based on Martian atmosphere polarized skylight and celestial navigation is proposed. The navigation reference model of Martian atmosphere polarized skylight is analyzed first. Subsequently, the navigation system model is established to fuse the information of polarization navigation, celestial navigation, optical flow, and inertial navigation system. The Monte Carlo simulation tests show that the proposed method can provided the stable and accurate heading, and the landing accuracy of the Mars UAV is improved.

KW - Mars UAV

KW - Martian atmospheric polarization

KW - autonomous navigation

KW - celestial navigation

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 China Automation Congress, CAC 2023

Y2 - 17 November 2023 through 19 November 2023

ER -

A Dead Reckoning Method Based on Martian Atmosphere Polarized Skylight and Celestial Navigation for Mars Exploration UAV

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