DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Yeeun | ko |
dc.contributor.author | Lim, Hyunjun | ko |
dc.contributor.author | Myung, Hyun | ko |
dc.date.accessioned | 2022-09-05T03:00:51Z | - |
dc.date.available | 2022-09-05T03:00:51Z | - |
dc.date.created | 2022-09-01 | - |
dc.date.created | 2022-09-01 | - |
dc.date.issued | 2021-12 | - |
dc.identifier.citation | 9th International Conference on Robot Intelligence Technology and Applications (RiTA), pp.284 - 290 | - |
dc.identifier.issn | 2367-3370 | - |
dc.identifier.uri | http://hdl.handle.net/10203/298315 | - |
dc.description.abstract | Localization is an important task in various fields. Especially, a robust and accurate localization system is required for a mobile device to be used in AR (augmented reality) or MR (mixed reality) applications. In this paper, we present an accurate visual-inertial odometry algorithm based on both point and line features. This algorithm utilizes a sliding window non-linear optimization-based method to reduce the computational cost. We implemented our proposed algorithm on a smartphone. Also, we show that our proposed algorithm works well in indoor and outdoor environments in real-time. | - |
dc.language | English | - |
dc.publisher | SPRINGER INTERNATIONAL PUBLISHING AG | - |
dc.title | Point and Line Feature-Based VIO for Mobile Devices | - |
dc.type | Conference | - |
dc.identifier.wosid | 000787765900025 | - |
dc.identifier.scopusid | 2-s2.0-85128474753 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 284 | - |
dc.citation.endingpage | 290 | - |
dc.citation.publicationname | 9th International Conference on Robot Intelligence Technology and Applications (RiTA) | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | KAIST, Daejeon | - |
dc.identifier.doi | 10.1007/978-3-030-97672-9_25 | - |
dc.contributor.localauthor | Myung, Hyun | - |
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