Andrew Price is a Canadian born machine learning researcher and
Aerospace engineer. He has lived, studied and worked in Canada, Japan,
Sri Lanka and Switzerland. He is a native English speaker but can get
by with French and Japanese. He is PADI open water diver certified.
He is married and has two annoying boys.
His research interests include robotics and computer vision for space
applications. He has experience with spacecraft qualification testing,
in-flight measurements, signal-processing, environmental noise controllers,
dataset image rendering, machine learning and network compression. Links
to the various projects can be found on this site under "Projects".
Module-Wise network Quantization for 6D Object Pose Estimation.
This project employed machine learning to perform Six Degree of
Freedom (6DoF) pose estimation on a number of different
datasets. We then compressed the network using our novel
module-wise compression approach. In certain cases, we were
able to demonstrate higher accuracy with a network compressed
by a factor of 32X. This is highly promising for 6DoF pose
estimation edge computing on spacecraft.