Information sparsification for visual-inertial odometry by manipulating Bayes tree-Reference-Cited by-同舟云学术

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Information sparsification for visual-inertial odometry by manipulating Bayes tree

Published:2021-11 Issue: Volume:118 Page:107065
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Zhang Xin^ORCID,Yuan Wenhan^ORCID,Zheng Lingxiao^ORCID,Zhan Xingqun^ORCID,Ren Qianyi,Lin Baojun

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference31 articles.

1. Keyframe-based visual–inertial odometry using nonlinear optimization;Leutenegger;Int. J. Robot. Res.,2015

2. A geometric nonlinear stochastic filter for simultaneous localization and mapping;Hashim;Aerosp. Sci. Technol.,2021

3. Enabling robust state estimation through measurement error covariance adaptation;Watson;IEEE Trans. Aerosp. Electron. Syst.,2020

4. Tightly coupled integrated navigation system via factor graph for UAV indoor localization;Song;Aerosp. Sci. Technol.,2021

5. Implicit observation model for vision aided inertial navigation of aerial vehicles using single camera vector observations;Sazdovski;Aerosp. Sci. Technol.,2015

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust adaptive SINS/CNS integrated navigation algorithm for Mars rovers with experimental verification;Measurement;2024-08

2. A cliquey subgraph approach to sparsified UAV visual inertial odometry by surjective Bayes-tree-to-factor-graph mapping;Aerospace Science and Technology;2022-01

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