Meng Yu

Associate Professor   Supervisor of Doctorate Candidates  

Main positions:Associate professor

Gender:Male

Alma Mater:Harbin Institute of Technology

Education Level:With Certificate of Graduation for Doctorate Study

Degree:Doctoral Degree in Engineering

School/Department:College of Astronautics

Discipline:机械工程. 电子与信息. 光学工程. Flight Vehicle Design

Business Address:Jiangjun Road No.29 Building D11, B201

Contact Information:yuxy21@nuaa.edu.cn

E-Mail:


Paper Publications

Single crater-aided inertial navigation for autonomous asteroid landing

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Affiliation of Author(s):航天学院

Journal:Adv. Space Res.

Abstract:In this paper, a novel crater-aided inertial navigation approach for autonomous asteroid landing mission is developed. It overcomes the major deficiencies of existing approaches in the literature, which mainly focuses on the case where craters are abundant in the camera field of view. As a result, traditional crater based methods require at least three craters to achieve crater matching, which limits their application in final landing phase where craters are scarce in the camera's field of view. In contrast, the proposed algorithm enables single crater based crater matching based on a novel 2D-3D crater re-projection model. The re-projection model adopts inertial measurements as a reference, and re-projects the 3D crater model onto descent images to achieve the matching to its counterpart. An asteroid landing simulation toolbox is developed to validate the performance of the proposed approach. Through comparison with the state-of-the-art local image feature and crater based navigation algorithms, the proposed approach is validated to achieve a competitive performance in terms of feature matching and pose estimation accuracy with a much lighter computational cost. © 2018 COSPAR

ISSN No.:0273-1177

Translation or Not:no

Date of Publication:2019-01-01

Co-author:Hitboy,Wang, Shuquan,Huang, Xiangyu

Correspondence Author:Meng Yu

Pre One:A novel inertial-aided feature detection model for autonomous navigation in planetary landing

Next One:On-board passive-image based non-cooperative space object capture window estimation

Profile

Graduated from the School of Mechanical Engineering at Tianjin University in 2010 with a Bachelor of Engineering degree. After that, I received a Ph.D. in Engineering from the School of Astronautics, Harbin Institute of Technology, in 2016. Currently, I am serving as Associate Professor and Doctoral Supervisor in the Department of Systems Engineering, School of Astronautics.


For students who are interested in machine learning | information fusion | situation awareness | visual-language navigation, also have a foundation and passion for C++/Python programming, you are more than welcome to join our research group.
Email: yuxy21@nuaa.edu.cn


Selected Papers:

Chenxi Lu, Meng Yu, et al "Landmark-aware autonomous odometry correction and map pruning for planetary rovers." Acta Astronautica 226 (2025): 86-96.

Meng Yu Shuang Li, and Shu Leng. "Space collision probability computation based on on-board optical cues." Acta Astronautica 155 (2019): 33-44.

Meng Yu, Shuang Li, and Shu Leng. "On-board passive-image based non-cooperative space object capture window estimation." Aerospace Science and Technology 84 (2019): 953-965. 

Meng Yu, Shuang Li, Shuquan Wang “Single Crater-aided inertial navigation for autonomous asteroid landing” Advances in Space Research, pp.1085-1099. Vol(63). No.2, Jan,2019 

Meng Yu, Hutao Cui, Yang Tian. A new approach based on crater detection and matching for visual navigation in planetary landing. Advances in Space Research. 2014 Jun 15;53(12):1810-21. 

Meng Yu, Hutao Cui. Robust hazard matching approach for visual navigation application in planetary landing. Aerospace Science and Technology. 2015 Dec 31;47:378-87. 

Meng Yu, Hutao Cui, Shuang Li, Yang Tian. Database construction for vision aided navigation in planetary landing. Acta Astronautica.(2017) pp.235-246

Chenxi Lu, Meng Yu, et al. "Fast 3D Reconstruction for Unknown Space Targets via Neural Radiance Field." Journal of Physics: Conference Series. Vol. 2762. No. 1. IOP Publishing, 2024.