Adaptive multi-sensor point cloud fusion for geometric reconstruction toward digital twin construction based on quality-driven weight optimization
- DOI
- 10.1038/s41598-026-49367-5
- Published
- 2026-04-21
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-49367-5,
title = {Adaptive multi-sensor point cloud fusion for geometric reconstruction toward digital twin construction based on quality-driven weight optimization},
author = {Liyuan Meng and Yikang Liu and Jie Zhu},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-49367-5},
url = {https://doi.org/10.1038/s41598-026-49367-5}
}RIS
TY - JOUR TI - Adaptive multi-sensor point cloud fusion for geometric reconstruction toward digital twin construction based on quality-driven weight optimization AU - Liyuan Meng AU - Yikang Liu AU - Jie Zhu PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-49367-5 UR - https://doi.org/10.1038/s41598-026-49367-5 ER -
APA
Meng, L., Liu, Y., & Zhu, J. (2026). Adaptive multi-sensor point cloud fusion for geometric reconstruction toward digital twin construction based on quality-driven weight optimization. Scientific Reports. https://doi.org/10.1038/s41598-026-49367-5
Source records
- crossref · retrieved 2026-09-25T09:13:33.670Z