Auto-Cal: Automated and Continuous Geo-Referencing of All-Sky Imagers Using Fisheye Lens Modeling and Star Tracks
Sudha Kapali, Michael P. Henderson, Juanita Riccobono, Michael A. Migliozzi, Robert B. Kerr

TL;DR
Auto-Cal is an automated system that continuously calibrates All-Sky Imagers using fisheye lens modeling and star tracking, improving spatial accuracy and enabling reliable real-time space weather monitoring without manual intervention.
Contribution
It introduces an automated, nightly calibration framework for ASIs that adapts to environmental changes and provides real-time error estimates, enhancing long-term atmospheric and space weather observations.
Findings
Achieves high spatial accuracy in geo-referencing ASI data.
Operates unattended with nightly recalibrations.
Provides real-time confidence estimates for geo-located data.
Abstract
A fully automated and continuous calibration framework for All-Sky Imagers (ASIs) that significantly enhances the spatial accuracy and reliability of geo-referenced ASI data is presented. The technique addresses a critical bottleneck in ASI image data reliability and usability for real time space weather via automated geo-referencing under real-world field conditions. The system corrects the lens distortion in ASIs using a well-established fisheye lens model and automatically estimates camera orientation in terms of roll, pitch, and yaw angles relative to True North and the horizontal plane perpendicular to the zenith using star tracking. Unlike traditional methods that require manual intervention and periodic recalibration, Auto-Cal performs nightly unattended recalibrations using observed stellar motion, adapting to mechanical shifts or environmental changes. Each calibration step…
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