Alignment Detection Technology of Chang’e-6 Primary Package Container

The Chang’e-6 mission achieved the first successful sample collection and return from the Moon’s far side. Accurate alignment detection of the primary packaging container is critical for the success of this mission, as it ensures proper retrieval of lunar soil. To address challenges such as complex...

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Main Authors: Guanyu Wang, Shenyi Jin, Xiangjin Deng, Yufu Qu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Aerospace
Subjects:
Online Access:https://www.mdpi.com/2226-4310/12/1/18
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author Guanyu Wang
Shenyi Jin
Xiangjin Deng
Yufu Qu
author_facet Guanyu Wang
Shenyi Jin
Xiangjin Deng
Yufu Qu
author_sort Guanyu Wang
collection DOAJ
description The Chang’e-6 mission achieved the first successful sample collection and return from the Moon’s far side. Accurate alignment detection of the primary packaging container is critical for the success of this mission, as it ensures proper retrieval of lunar soil. To address challenges such as complex backgrounds, uneven lighting, and reflective surfaces, this paper introduces an alignment detection method that integrates YOLO object recognition, Devernay subpixel edge detection, and the RANSAC fitting algorithm. By employing both linear and elliptical fitting techniques, the method accurately determines the median line of the primary packaging container, ensuring precise alignment detection. The effectiveness of this approach is demonstrated by an average alignment distance of 0.28 mm with a standard deviation of 0.03 mm in lunar surface images, underscoring its accuracy and reliability.
format Article
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institution Kabale University
issn 2226-4310
language English
publishDate 2024-12-01
publisher MDPI AG
record_format Article
series Aerospace
spelling doaj-art-b754e0314f30430d980798b91f6887bb2025-01-24T13:15:28ZengMDPI AGAerospace2226-43102024-12-011211810.3390/aerospace12010018Alignment Detection Technology of Chang’e-6 Primary Package ContainerGuanyu Wang0Shenyi Jin1Xiangjin Deng2Yufu Qu3School of Instrument Science and Optoelectronic Engineering, Beihang University, Beijing 100191, ChinaInstitute of Spacecraft System Engineering, China Academy of Space Technology, Beijing 100094, ChinaInstitute of Spacecraft System Engineering, China Academy of Space Technology, Beijing 100094, ChinaSchool of Instrument Science and Optoelectronic Engineering, Beihang University, Beijing 100191, ChinaThe Chang’e-6 mission achieved the first successful sample collection and return from the Moon’s far side. Accurate alignment detection of the primary packaging container is critical for the success of this mission, as it ensures proper retrieval of lunar soil. To address challenges such as complex backgrounds, uneven lighting, and reflective surfaces, this paper introduces an alignment detection method that integrates YOLO object recognition, Devernay subpixel edge detection, and the RANSAC fitting algorithm. By employing both linear and elliptical fitting techniques, the method accurately determines the median line of the primary packaging container, ensuring precise alignment detection. The effectiveness of this approach is demonstrated by an average alignment distance of 0.28 mm with a standard deviation of 0.03 mm in lunar surface images, underscoring its accuracy and reliability.https://www.mdpi.com/2226-4310/12/1/18alignment detectionprimary packaging containermedian lineregion of interest
spellingShingle Guanyu Wang
Shenyi Jin
Xiangjin Deng
Yufu Qu
Alignment Detection Technology of Chang’e-6 Primary Package Container
Aerospace
alignment detection
primary packaging container
median line
region of interest
title Alignment Detection Technology of Chang’e-6 Primary Package Container
title_full Alignment Detection Technology of Chang’e-6 Primary Package Container
title_fullStr Alignment Detection Technology of Chang’e-6 Primary Package Container
title_full_unstemmed Alignment Detection Technology of Chang’e-6 Primary Package Container
title_short Alignment Detection Technology of Chang’e-6 Primary Package Container
title_sort alignment detection technology of chang e 6 primary package container
topic alignment detection
primary packaging container
median line
region of interest
url https://www.mdpi.com/2226-4310/12/1/18
work_keys_str_mv AT guanyuwang alignmentdetectiontechnologyofchange6primarypackagecontainer
AT shenyijin alignmentdetectiontechnologyofchange6primarypackagecontainer
AT xiangjindeng alignmentdetectiontechnologyofchange6primarypackagecontainer
AT yufuqu alignmentdetectiontechnologyofchange6primarypackagecontainer