@article{
 title = {Visual-Inertial Navigation: A Concise Review},
 type = {article},
 year = {2019},
 pages = {9572-9582},
 volume = {2019-May},
 websites = {https://arxiv.org/abs/1906.02650v1},
 month = {6},
 publisher = {Institute of Electrical and Electronics Engineers Inc.},
 day = {6},
 id = {910261cd-1b1a-398f-bfe2-f91983755c47},
 created = {2022-08-19T09:13:50.905Z},
 accessed = {2022-08-19},
 file_attached = {true},
 profile_id = {48fc0258-023d-3602-860e-824092d62c56},
 group_id = {5ec9cc91-a5d6-3de5-82f3-3ef3d98a89c1},
 last_modified = {2022-08-19T09:13:52.953Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 folder_uuids = {97693603-b330-4e3e-8cf5-d549e6474921},
 private_publication = {false},
 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.},
 bibtype = {article},
 author = {Huang, Guoquan},
 doi = {10.48550/arxiv.1906.02650},
 journal = {Proceedings - IEEE International Conference on Robotics and Automation}
}

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