Lars Hammarstrand

Associate professor, Electrical engineering

Lars Hammarstrand is an Associate Professor in the Signal processing research group. His main research interests are in the intersection of machine learning and Bayesian inference, especially with application to (visual) localization and mapping, sensor fusion, nonlinear filtering, and object tracking.
Undergraduate courses

Massive open online courses (MOOCs)

PhD courses

A lecture series on Sensor fusion and nonlinear filtering can be found on my  YouTube channel here​.​

Google scholar profile

Page manager Published: Mon 23 Aug 2021.