Electro-Optical Sensors for Atmospheric Turbulence Strength Characterization with Embedded Edge AI Processing of Scintillation Patterns

Electro-Optical Sensors for Atmospheric Turbulence Strength Characterization with Embedded Edge AI Processing of Scintillation Patterns

This study introduces electro-optical (EO) sensors (TurbNet sensors) that utilize a remote laser beacon (either coherent or incoherent) and an optical receiver with CCD camera and embedded edge AI computer (Jetson Xavier Nx) for in situ evaluation of the path-averaged atmospheric turbulence refracti...

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Bibliographic Details
Main Authors: Ernst Polnau, Don L. N. Hettiarachchi, Mikhail A. Vorontsov
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Photonics
Subjects:
atmospheric turbulence
deep neural network
electro-optics sensor
embedded edge AI computing
NVIDIA Jetson Xavier Nx
real-time sensing
Online Access:https://www.mdpi.com/2304-6732/9/11/789

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https://www.mdpi.com/2304-6732/9/11/789

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