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LPL-VIO: monocular visual-inertial odometry with deep learning-based point and line features

Crossref DOI link: https://doi.org/10.1007/s00521-024-10294-z

Published Online: 2024-10-03

Published Print: 2024-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Liu, Changxiang http://orcid.org/0000-0002-2172-8717
Yang, Qinhan

Yu, Hongshan http://orcid.org/0000-0003-1973-6766
Fu, Qiang http://orcid.org/0000-0002-8700-1334
Akhtar, Naveed http://orcid.org/0000-0003-3406-673X
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Text and Data Mining valid from 2024-10-03

Version of Record valid from 2024-10-03
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Article History

Received: 3 August 2022

Accepted: 29 July 2024

First Online: 3 October 2024

Declarations

:

: The authors declared there is no conflict of interest in this paper.