Deep Learning for Autonomous Vehicle Vision LundLinköping
Title: Deep Learning for Autonomous Vehicle Vision LundLinköping
SNIC Project: Berzelius-2021-92
Project Type: LiU Berzelius
Principal Investigator: Joakim Johnander <joakim.johnander@liu.se>
Affiliation: Linköpings universitet
Duration: 2021-12-09 – 2022-07-01
Classification: 10207
Keywords:

Abstract

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.