  Meteorites with known orbital origins are key to our understanding of Solar
System formation and the source of life on Earth. However, these pristine
samples of space material are incredibly rare. Less than 40 of the 60,000
meteorites held in collections around the world have known dynamical origins.
Fireball networks have been developed globally in a unified effort to increase
this number by using multiple observatories to record, triangulate, and
dynamically analyse ablating meteoroids as they enter our atmosphere. The
accuracy of the chosen meteoroid triangulation method directly influences the
accuracy of the determined orbit and the likelihood of possible meteorite
recovery.
  There are three leading techniques for meteoroid triangulation discussed in
the literature: the Method of Planes, the Straight Line Least Squares method,
and the Multi-Parameter Fit method. Here we describe an alternative method to
meteoroid triangulation, called the Dynamic Trajectory Fit. This approach uses
the meteoroid's 3D dynamic equations of motion to fit a realistic trajectory
directly to multi-sensor line-of-sight observations. This method has the
ability to resolve fragmentation events, fit systematic observatory timing
offsets, and determine mass estimates of the meteoroid along its observable
trajectory.
  Through a comprehensive Monte-Carlo analysis of over 100,000 trajectory
simulations, we find this new method to more accurately estimate meteoroid
trajectories of slow entry events ($<$25\,km/s) and events observed from low
convergence angles ($<$10$^{\circ}$) compared to existing meteoroid
triangulation techniques. Additionally, we triangulate an observed fireball
event with visible fragmentation using the various triangulation methods to
show that the proposed Dynamic Trajectory Fit implementing fragmentation to
best match the captured multi-sensor line-of-sight data.
