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Effective Data-Driven Calibration for a Galvanometric Laser Scanning System Using Binocular Stereo Vision
A new solution to the problem of galvanometric laser scanning (GLS) system calibration is presented. Under the machine learning framework, we build a single-hidden layer feedforward neural network (SLFN）to represent the GLS system, which takes the digital control signal at the drives of the GLS syst...
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| Publicat a: | Sensors (Basel) |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5796465/ https://ncbi.nlm.nih.gov/pubmed/29329240 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18010197 |
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