Lidia Ghebreamlak

My name is Lidia Ghebreamlak and I just finished my Masters degree in computer science at the university of Eastern Finland and this study was done as part of my master’s thesis. Karelics provided a laptop for all the experiments to be conducted, as training a neural network model requires extensive computational resources. All the data collection from the physical robot was also accommodated by Karelics in their Joensuu office. PhD Ville Hautamäki from University of Eastern Finland and Msc Janne Karttunen from Karelics provided guidance every step of the way. I would like to take this opportunity to thank everyone at Karelics for making this study possible and my advisors for their guidance and patience.

Training depth estimation model in Nvidia Isaac Sim

Depth estimation plays a big role in robotics, autonomous driving (mapping, localization and obstacle avoidance), augmented reality and many other computer vision technologies across many

Lidia Ghebreamlak October 24, 2022