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Cited by 391

The DOI matches its Crossref record; 165 of the 165 references it cites were found in a registry or an index.

Visual-Inertial Navigation: A Concise Review

Open access
Huang, Guoquan·2019·2019 International Conference on Robotics and Automation (ICRA)

Abstract

As inertial and visual sensors are becoming ubiquitous, visual-inertial navigation systems (VINS) have prevailed in a wide range of applications from mobile augmented reality to aerial navigation to autonomous driving, in part because of the complementary sensing capabilities and the decreasing costs and size of the sensors. In this paper, we survey thoroughly the research efforts taken in this field and strive to provide a concise but complete review of the related work - which is unfortunately missing in the literature while being greatly demanded by researchers and engineers - in the hope to accelerate the VINS research and beyond in our society as a whole.

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Metadata

Authors
Huang, G.
Venue
2019 International Conference on Robotics and Automation (ICRA)
Publisher
IEEE
Published
2019-05
Pages
9572-9582
ISSN
1050-4729 (ISSN-L)
OpenAlex
W2968489055
Cited by
391
References
165
FWCI
69.99
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Visual-Inertial Navigation: A Concise Review. https://app.cochat.ai/papers/10.1109/icra.2019.8793604
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Huang, G. (2019). Visual-Inertial Navigation: A Concise Review. 2019 International Conference on Robotics and Automation (ICRA). https://doi.org/10.1109/icra.2019.8793604

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.