20 citations · 54 across the 13 of their papers we have counts for
6 papers · 1 filter
Improving the discovery of near-Earth objects with machine-learning methods
Peter Vereš, Richard Cloete, Matthew J. Payne +1
We present a comprehensive analysis of the digest2 parameters for candidates of the Near-Earth Object Confirmation Page (NEOCP) that were reported between 2019 and 2024. Our study…
Commissioning An All-Sky Infrared Camera Array for Detection Of Airborne Objects
Laura Dominé, Ankit Biswas, Richard Cloete +13
To date there is little publicly available scientific data on Unidentified Aerial Phenomena (UAP) whose properties and kinematics purportedly reside outside the performance envelop…
The Scientific Investigation of Unidentified Aerial Phenomena (UAP) Using Multimodal Ground-Based Observatories
Wesley Andrés Watters, Abraham Loeb, Frank Laukien +35
(Abridged) Unidentified Aerial Phenomena (UAP) have resisted explanation and have received little formal scientific attention for 75 years. A primary objective of the Galileo Proje…
SkyWatch: A Passive Multistatic Radar Network for the Measurement of Object Position and Velocity
Mitch Randall, Alex Delacroix, Carson Ezell +7
(Abridged) Quantitative three-dimensional (3D) position and velocity estimates obtained by passive radar will assist the Galileo Project in the detection and classification of aeri…
A Hardware and Software Platform for Aerial Object Localization
Matthew Szenher, Alex Delacroix, Eric Keto +5
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 des…
Multi-Band Acoustic Monitoring of Aerial Signatures
Andrew Mead, Sarah Little, Paul Sail +4
The Galileo Project's acoustic monitoring, omni-directional system (AMOS) aids in the detection and characterization of aerial phenomena. It uses a multi-band microphone suite span…