Deep Learning for Autonomous Vehicle Vision LundLinköping
||Deep Learning for Autonomous Vehicle Vision LundLinköping|
||Joakim Johnander <email@example.com>|
||2021-12-09 – 2022-07-01|
Deep learning has become a cornerstone in surround sensing systems in autonomous vehicles. In this project, several novel types of neural networks are to be tried for different tasks in such surround sensing systems. The primary research questions revolve around processing videos in order to capture the dynamics of the scene. The project is a collaboration between Linköping and Lund, specifically the projects Berzelius-2021-18 and Berzelius-2021-60.