Cargando…

Fast Positioning Model and Systematic Error Calibration of Chang’E-3 Obstacle Avoidance Lidar for Soft Landing

Chang’E-3 is China’s first soft landing mission on an extraterrestrial celestial body. The laser Three-Dimensional Imaging (TDI) sensor is one of the key payloads of the Chang’E-3 lander. Its main task is to provide accurate 3D lunar surface information of the target landing area in real time for th...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Donghong, Chen, Xingfeng, Liu, Jun, Liu, Zongqi, Zheng, Fengjie, Zhao, Limin, Li, Jiaguo, Mi, Xiaofei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570552/
https://www.ncbi.nlm.nih.gov/pubmed/36236465
http://dx.doi.org/10.3390/s22197366
_version_ 1784810139260289024
author Wang, Donghong
Chen, Xingfeng
Liu, Jun
Liu, Zongqi
Zheng, Fengjie
Zhao, Limin
Li, Jiaguo
Mi, Xiaofei
author_facet Wang, Donghong
Chen, Xingfeng
Liu, Jun
Liu, Zongqi
Zheng, Fengjie
Zhao, Limin
Li, Jiaguo
Mi, Xiaofei
author_sort Wang, Donghong
collection PubMed
description Chang’E-3 is China’s first soft landing mission on an extraterrestrial celestial body. The laser Three-Dimensional Imaging (TDI) sensor is one of the key payloads of the Chang’E-3 lander. Its main task is to provide accurate 3D lunar surface information of the target landing area in real time for the selection of safe landing sites. Here, a simplified positioning model was constructed, to meet the accuracy and processing timeline requirements of the TDI sensor of Chang’E-3. By analyzing the influence of TDI intrinsic parameters, a permanent outdoor calibration field based on flat plates was specially designed and constructed, and a robust solution of the geometric calibration adjustment was realized by introducing virtual observation equations for unknowns. The geometric calibration and its absolute and relative positioning accuracy verification were carried out using multi-measurement and multi-angle imaging data. The results show that the error of TDI intrinsic parameters will produce a false obstacle with a maximum height of about 1.4 m on the plane, which will cause the obstacle avoidance system of Chang’E-3 to fail to find a suitable landing area or find a false flat area. Furthermore, the intrinsic parameters of the TDI have good stability and the accuracy of the reconstructed three-dimensional surface can reach about 4 cm after error calibration, which provides a reliable terrain guarantee for the autonomous obstacle avoidance of the Chang’E-3 lander.
format Online
Article
Text
id pubmed-9570552
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-95705522022-10-17 Fast Positioning Model and Systematic Error Calibration of Chang’E-3 Obstacle Avoidance Lidar for Soft Landing Wang, Donghong Chen, Xingfeng Liu, Jun Liu, Zongqi Zheng, Fengjie Zhao, Limin Li, Jiaguo Mi, Xiaofei Sensors (Basel) Article Chang’E-3 is China’s first soft landing mission on an extraterrestrial celestial body. The laser Three-Dimensional Imaging (TDI) sensor is one of the key payloads of the Chang’E-3 lander. Its main task is to provide accurate 3D lunar surface information of the target landing area in real time for the selection of safe landing sites. Here, a simplified positioning model was constructed, to meet the accuracy and processing timeline requirements of the TDI sensor of Chang’E-3. By analyzing the influence of TDI intrinsic parameters, a permanent outdoor calibration field based on flat plates was specially designed and constructed, and a robust solution of the geometric calibration adjustment was realized by introducing virtual observation equations for unknowns. The geometric calibration and its absolute and relative positioning accuracy verification were carried out using multi-measurement and multi-angle imaging data. The results show that the error of TDI intrinsic parameters will produce a false obstacle with a maximum height of about 1.4 m on the plane, which will cause the obstacle avoidance system of Chang’E-3 to fail to find a suitable landing area or find a false flat area. Furthermore, the intrinsic parameters of the TDI have good stability and the accuracy of the reconstructed three-dimensional surface can reach about 4 cm after error calibration, which provides a reliable terrain guarantee for the autonomous obstacle avoidance of the Chang’E-3 lander. MDPI 2022-09-28 /pmc/articles/PMC9570552/ /pubmed/36236465 http://dx.doi.org/10.3390/s22197366 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Donghong
Chen, Xingfeng
Liu, Jun
Liu, Zongqi
Zheng, Fengjie
Zhao, Limin
Li, Jiaguo
Mi, Xiaofei
Fast Positioning Model and Systematic Error Calibration of Chang’E-3 Obstacle Avoidance Lidar for Soft Landing
title Fast Positioning Model and Systematic Error Calibration of Chang’E-3 Obstacle Avoidance Lidar for Soft Landing
title_full Fast Positioning Model and Systematic Error Calibration of Chang’E-3 Obstacle Avoidance Lidar for Soft Landing
title_fullStr Fast Positioning Model and Systematic Error Calibration of Chang’E-3 Obstacle Avoidance Lidar for Soft Landing
title_full_unstemmed Fast Positioning Model and Systematic Error Calibration of Chang’E-3 Obstacle Avoidance Lidar for Soft Landing
title_short Fast Positioning Model and Systematic Error Calibration of Chang’E-3 Obstacle Avoidance Lidar for Soft Landing
title_sort fast positioning model and systematic error calibration of chang’e-3 obstacle avoidance lidar for soft landing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570552/
https://www.ncbi.nlm.nih.gov/pubmed/36236465
http://dx.doi.org/10.3390/s22197366
work_keys_str_mv AT wangdonghong fastpositioningmodelandsystematicerrorcalibrationofchange3obstacleavoidancelidarforsoftlanding
AT chenxingfeng fastpositioningmodelandsystematicerrorcalibrationofchange3obstacleavoidancelidarforsoftlanding
AT liujun fastpositioningmodelandsystematicerrorcalibrationofchange3obstacleavoidancelidarforsoftlanding
AT liuzongqi fastpositioningmodelandsystematicerrorcalibrationofchange3obstacleavoidancelidarforsoftlanding
AT zhengfengjie fastpositioningmodelandsystematicerrorcalibrationofchange3obstacleavoidancelidarforsoftlanding
AT zhaolimin fastpositioningmodelandsystematicerrorcalibrationofchange3obstacleavoidancelidarforsoftlanding
AT lijiaguo fastpositioningmodelandsystematicerrorcalibrationofchange3obstacleavoidancelidarforsoftlanding
AT mixiaofei fastpositioningmodelandsystematicerrorcalibrationofchange3obstacleavoidancelidarforsoftlanding