Dynamic Occupancy Grid Mapping with Recurrent Neural Networks
Marcel Schreiber,Vasileios Belagiannis,Claudius Gläser,Klaus Dietmayer,Marcel Schreiber,Vasileios Belagiannis,Claudius Gläser,Klaus Dietmayer
Modeling and understanding the environment is an essential task for autonomous driving. In addition to the detection of objects, in complex traffic scenarios the motion of other road participants is of special interest. Therefore, we propose to use a recurrent neural network to predict a dynamic occupancy grid map, which divides the vehicle surrounding in cells, each containing the occupancy proba...
