LRPL-VIO: A Lightweight and Robust Visual–Inertial Odometry with Point and Line Features
LRPL-VIO: A Lightweight and Robust Visual–Inertial Odometry with Point and Line Features
About this item
Full title
Author / Creator
Zheng, Feixiang , Zhou, Lu , Lin, Wanbiao , Liu, Jingyang and Sun, Lei
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
Visual-inertial odometry (VIO) algorithms, fusing various features such as points and lines, are able to improve their performance in challenging scenes while the running time severely increases. In this paper, we propose a novel lightweight point–line visual–inertial odometry algorithm to solve this problem, called LRPL-VIO. Firstly, a fast line m...
Alternative Titles
Full title
LRPL-VIO: A Lightweight and Robust Visual–Inertial Odometry with Point and Line Features
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_d179f20e8f314852839d3c287c6a4f7e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d179f20e8f314852839d3c287c6a4f7e
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s24041322
