Tackling Clutter in Radar Data - Label Generation and Detection Using PointNet++
Johannes Kopp,Dominik Kellner,Aldi Piroli,Klaus Dietmayer,Johannes Kopp,Dominik Kellner,Aldi Piroli,Klaus Dietmayer
Radar sensors employed for environment perception, e.g. in autonomous vehicles, output a lot of unwanted clutter. These points, for which no corresponding real objects exist, are a major source of errors in following processing steps like object detection or tracking. We therefore present two novel neural network setups for identifying clutter. The input data, network architectures and training co...
