COMPUTER VISION IN THE TELEOPERATION OF THE YUTU-2 ROVER

On January 3, 2019, the Chang'e-4 (CE-4) probe successfully landed in the Von Kármán crater inside the South Pole-Aitken (SPA) basin. With the support of a relay communication satellite "Queqiao" launched in 2018 and located at the Earth-Moon L2 liberation point, the lander and the Yu...

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Bibliographic Details
Published in:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Main Authors: J. Wang, J. Li, S. Wang, T. Yu, Z. Rong, X. He, Y. You, Q. Zou, W. Wan, Y. Wang, S. Gou, B. Liu, M. Peng, K. Di, Z. Liu, M. Jia, X. Xin, Y. Chen, X. Cheng, X. Feng, C. Liu, S. Han, X. Liu
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2020
Subjects:
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Online Access:https://doi.org/10.5194/isprs-annals-V-3-2020-595-2020
https://doaj.org/article/0f446a8a461b48a5bd12a82b76cf0b3c
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Summary:On January 3, 2019, the Chang'e-4 (CE-4) probe successfully landed in the Von Kármán crater inside the South Pole-Aitken (SPA) basin. With the support of a relay communication satellite "Queqiao" launched in 2018 and located at the Earth-Moon L2 liberation point, the lander and the Yutu-2 rover carried out in-situ exploration and patrol surveys, respectively, and were able to make a series of important scientific discoveries. Owing to the complexity and unpredictability of the lunar surface, teleoperation has become the most important control method for the operation of the rover. Computer vision is an important technology to support the teleoperation of the rover. During the powered descent stage and lunar surface exploration, teleoperation based on computer vision can effectively overcome many technical challenges, such as fast positioning of the landing point, high-resolution seamless mapping of the landing site, localization of the rover in the complex environment on the lunar surface, terrain reconstruction, and path planning. All these processes helped achieve the first soft landing, roving, and in-situ exploration on the lunar farside. This paper presents a high-precision positioning technology and positioning results of the landing point based on multi-source data, including orbital images and CE-4 descent images. The method and its results have been successfully applied in an actual engineering mission for the first time in China, providing important support for the topographical analysis of the landing site and mission planning for subsequent teleoperations. After landing, a 0.03 m resolution DOM was generated using the descent images and was used as one of the base maps for the overall rover path planning. Before each movement, the Yutu-2 rover controlled its hazard avoidance cameras (Hazcam), navigation cameras (Navcam), and panoramic cameras (Pancam) to capture stereo images of the lunar surface at different angles. Local digital elevation models (DEMs) with a 0.02 m resolution were routinely ...