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Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/23049| Title: | Adaptive Keyframe Selection for Light-Weighted SLAM Using RGB-D Cameras |
| Authors: | Qin, Q Meng, H Yang, Y |
| Keywords: | SLAM;keyframe selection;augmented reality;virtual reality |
| Issue Date: | 27-Jun-2021 |
| Publisher: | Springer Nature Switzerland AG |
| Citation: | Qin, Q., Meng, H. and Yang, Y. (2021) 'Adaptive Keyframe Selection for Light-Weighted SLAM Using RGB-D Cameras', in: Meng, H., Lei, T., Li, M., Li, K., Xiong, N. and Wang, L. (eds.) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2020. Advances in Intelligent Systems and Computing, (Lecture Notes on Data Engineering and Communications Technologies, vol 88), pp. 1909 - 1917. Cham, Switzerland: Springer Nature, pp. 1909-1917. doi: 10.1007/978-3-030-70665-4_206. |
| Series/Report no.: | Lecture Notes on Data Engineering and Communications Technologies;vol. 88 |
| URI: | https://bura.brunel.ac.uk/handle/2438/23049 |
| DOI: | https://doi.org/10.1007/978-3-030-70665-4_206 |
| ISBN: | 978-3-030-70664-7 978-3-030-70665-4 |
| ISSN: | 2367-4512 |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until 27 Jun 2022 | 1.11 MB | Adobe PDF | View/Open |
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