Spatial Alignment and Positioning System Based on Multimode Fiber
We propose a spatial alignment and positioning system based on multimode fiber. Using deep learning to achieve the positioning of incident light, the average measurement error of our system can reach <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2.24 \mu \mathrm{m}$</tex>.
Authors
- Yuxuan Xiong (ORCID: https://orcid.org/0000-0002-7588-028X)
- Junjie Qiu (ORCID: https://orcid.org/0000-0001-8374-3181)
- Hao Wu (ORCID: https://orcid.org/0000-0002-9924-4851)
- Ming Tang (ORCID: https://orcid.org/0000-0001-8669-4186)
Institutions
- Wuhan National Laboratory for Optoelectronics (CN)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11110963
- Primary Topic
- Indoor and Outdoor Localization Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00