2019 Best Master Thesis Award
The Swedish Board for Radio Navigation (Radionavigeringsnämnden) selected the master thesis titled: GNSS Position Error Estimated by Machine Learning Techniques with Environmental Information Input as the best master thesis of 2019 in the topics of Position, Navigation and Time. This thesis was done in collaboration with Waysure Sweden AB, for the master’s programme in Engineering Design: Mechatronics at KTH – Royal Institute of Technology. See the thesis here.