Autonomous navigation algorithm for precision landing based on computer vision

Yang Tian; Pingyuan Cui; Hutao Cui

doi:10.1117/12.835559

Autonomous navigation algorithm for precision landing based on computer vision

Yang Tian^*, Pingyuan Cui, Hutao Cui

^*Corresponding author for this work

Harbin Institute of Technology

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

2 Citations (Scopus)

Abstract

In this paper we propose a visual algorithm for use by a deep space exploration spacecraft to estimate the relative position and attitude on broad during the descent phase. This algorithm is composed of the relative motion recovery which provides part motion states estimates based on tracking feature through the monocular image sequence, and landmark recognition based algorithm which offers the scale of the relative motion and absolute position of spacecraft. The results on synthetic image show that the proposed algorithm can provide the estimation of state with satisfactory accuracy.

Original language	English
Title of host publication	International Symposium on Photoelectronic Detection and Imaging 2009 - Advances in Imaging Detectors and Applications
DOIs	https://doi.org/10.1117/12.835559
Publication status	Published - 2009
Externally published	Yes
Event	International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications - Beijing, China Duration: 17 Jun 2009 → 19 Jun 2009

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7384
ISSN (Print)	0277-786X

Conference

Conference	International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications
Country/Territory	China
City	Beijing
Period	17/06/09 → 19/06/09

Keywords

Autonomous navigation
Computer vision
Crater recognition
Landing
Recursive estimation

Access to Document

10.1117/12.835559

Cite this

Tian, Y., Cui, P., & Cui, H. (2009). Autonomous navigation algorithm for precision landing based on computer vision. In International Symposium on Photoelectronic Detection and Imaging 2009 - Advances in Imaging Detectors and Applications Article 73841H (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7384). https://doi.org/10.1117/12.835559

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title = "Autonomous navigation algorithm for precision landing based on computer vision",

abstract = "In this paper we propose a visual algorithm for use by a deep space exploration spacecraft to estimate the relative position and attitude on broad during the descent phase. This algorithm is composed of the relative motion recovery which provides part motion states estimates based on tracking feature through the monocular image sequence, and landmark recognition based algorithm which offers the scale of the relative motion and absolute position of spacecraft. The results on synthetic image show that the proposed algorithm can provide the estimation of state with satisfactory accuracy.",

keywords = "Autonomous navigation, Computer vision, Crater recognition, Landing, Recursive estimation",

author = "Yang Tian and Pingyuan Cui and Hutao Cui",

year = "2009",

doi = "10.1117/12.835559",

language = "English",

isbn = "9780819476654",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "International Symposium on Photoelectronic Detection and Imaging 2009 - Advances in Imaging Detectors and Applications",

note = "International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications ; Conference date: 17-06-2009 Through 19-06-2009",

}

Tian, Y, Cui, P & Cui, H 2009, Autonomous navigation algorithm for precision landing based on computer vision. in International Symposium on Photoelectronic Detection and Imaging 2009 - Advances in Imaging Detectors and Applications., 73841H, Proceedings of SPIE - The International Society for Optical Engineering, vol. 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, Beijing, China, 17/06/09. https://doi.org/10.1117/12.835559

Autonomous navigation algorithm for precision landing based on computer vision. / Tian, Yang; Cui, Pingyuan; Cui, Hutao.
International Symposium on Photoelectronic Detection and Imaging 2009 - Advances in Imaging Detectors and Applications. 2009. 73841H (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7384).

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

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AU - Tian, Yang

AU - Cui, Pingyuan

AU - Cui, Hutao

PY - 2009

Y1 - 2009

N2 - In this paper we propose a visual algorithm for use by a deep space exploration spacecraft to estimate the relative position and attitude on broad during the descent phase. This algorithm is composed of the relative motion recovery which provides part motion states estimates based on tracking feature through the monocular image sequence, and landmark recognition based algorithm which offers the scale of the relative motion and absolute position of spacecraft. The results on synthetic image show that the proposed algorithm can provide the estimation of state with satisfactory accuracy.

AB - In this paper we propose a visual algorithm for use by a deep space exploration spacecraft to estimate the relative position and attitude on broad during the descent phase. This algorithm is composed of the relative motion recovery which provides part motion states estimates based on tracking feature through the monocular image sequence, and landmark recognition based algorithm which offers the scale of the relative motion and absolute position of spacecraft. The results on synthetic image show that the proposed algorithm can provide the estimation of state with satisfactory accuracy.

KW - Autonomous navigation

KW - Computer vision

KW - Crater recognition

KW - Landing

KW - Recursive estimation

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SN - 9780819476654

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - International Symposium on Photoelectronic Detection and Imaging 2009 - Advances in Imaging Detectors and Applications

T2 - International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications

Y2 - 17 June 2009 through 19 June 2009

ER -

Autonomous navigation algorithm for precision landing based on computer vision

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Keywords

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