Direct initial orbit determination

no code implementations • 28 Aug 2023 • Chee-Kheng Chng, Trent Jansen-Sturgeon, Timothy Payne, Tat-Jun Chin

Initial orbit determination (IOD) is an important early step in the processing chain that makes sense of and reconciles the multiple optical observations of a resident space object.

Machine Learning for Semi-Automated Meteorite Recovery

no code implementations • 29 Sep 2020 • Seamus Anderson, Martin Towner, Phil Bland, Christopher Haikings, William Volante, Eleanor Sansom, Hadrien Devillepoix, Patrick Shober, Benjamin Hartig, Martin Cupak, Trent Jansen-Sturgeon, Robert Howie, Gretchen Benedix, Geoff Deacon

We present a novel methodology for recovering meteorite falls observed and constrained by fireball networks, using drones and machine learning algorithms.

BIG-bench Machine Learning

A Dynamic Trajectory Fit to Multi-Sensor Fireball Observations

1 code implementation • 3 Nov 2019 • Trent Jansen-Sturgeon, Eleanor K. Sansom, Hadrien A. R. Devillepoix, Philip A. Bland, Martin C. Towner, Robert M. Howie, Benjamin A. D. Hartig

Here we describe an alternative method to meteoroid triangulation, called the Dynamic Trajectory Fit.

Earth and Planetary Astrophysics

3D Meteoroid Trajectories

1 code implementation • 8 Feb 2018 • Eleanor K. Sansom, Trent Jansen-Sturgeon, Mark G. Rutten, Phil A. Bland, Hadrien A. R. Devillepoix, Robert M. Howie, Morgan A. Cox, Martin C. Towner, Martin Cupak, Benjamin A. D. Hartig

We show that a straight line is not valid for these two meteorite dropping events and propose a three dimensional particle filter to model meteoroid positions without any straight line constraints.

Earth and Planetary Astrophysics