To date, there are little reliable data on the position, velocity and acceleration characteristics of Unidentified Aerial Phenomena (UAP). The dual hardware and software system described in this document provides a means to address this gap. We describe a weatherized multi-camera system which can capture images in the visible, infrared and near infrared wavelengths. We then describe the software we will use to calibrate the cameras and to robustly localize objects-of-interest in three dimensions. We show how object localizations captured over time will be used to compute the velocity and acceleration of airborne objects.
@article{arxiv.2305.18555,
title = {A Hardware and Software Platform for Aerial Object Localization},
author = {Matthew Szenher and Alex Delacroix and Eric Keto and Sarah Little and Mitch Randall and Wesley Andrés Watters and Eric Masson and Richard Cloete},
journal= {arXiv preprint arXiv:2305.18555},
year = {2023}
}