Precise pose estimation of the NASA Mars 2020 Perseverance rover through a stereo‐vision‐based approach-Reference-Cited by-同舟云学术

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Precise pose estimation of the NASA Mars 2020 Perseverance rover through a stereo‐vision‐based approach

Published:2022-12-02 Issue:3 Volume:40 Page:684-700
ISSN:1556-4959
Container-title:Journal of Field Robotics
language:en
Short-container-title:Journal of Field Robotics

Author:

Andolfo Simone¹^ORCID,Petricca Flavio¹^ORCID,Genova Antonio¹^ORCID

Affiliation:

1. Department of Mechanical and Aerospace Engineering Sapienza University of Rome Rome Italy

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rob.22138

Reference59 articles.

1. Andolfo S. Petricca F.&Genova A.(2021) Rovers localization by using 3D‐to‐3D and 3D‐to‐2D visual odometry. In: Proceedings of the 2021 IEEE 8th international workshop on metrology for AeroSpace (MetroAeroSpace) New York NY USA:IEEE pp. 334–339. Available from: https://doi.org/10.1109/MetroAeroSpace51421.2021.9511741

2. Andolfo S. Petricca F.&Genova A.(2022) Visual odometry analysis of the NASA Mars 2020 Perseverance rover's images. In: Proceedings of the 2022 IEEE 9th international workshop on metrology for AeroSpace (MetroAeroSpace) New York NY USA:IEEE pp. 287−292. Available from:https://doi.org/10.1109/MetroAeroSpace54187.2022.9856188

3. Least-Squares Fitting of Two 3-D Point Sets

4. Bailey T. Nieto J. Guivant J. Stevens M.&Nebot E.(2006) Consistency of the EKF‐SLAM algorithm. In: Proceedings of the 2006 IEEE/RSJ international conference on intelligent robots and systems (IROS) New York NY USA:IEEE pp.3562–3568. Available from: https://doi.org/10.1109/IROS.2006.281644

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