Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks
Marcel Schreiber,Vasileios Belagiannis,Claudius Gläser,Klaus Dietmayer,Marcel Schreiber,Vasileios Belagiannis,Claudius Gläser,Klaus Dietmayer
In this work, we tackle the problem of modeling the vehicle environment as dynamic occupancy grid map in complex urban scenarios using recurrent neural networks. Dynamic occupancy grid maps represent the scene in a bird's eye view, where each grid cell contains the occupancy prob-ability and the two dimensional velocity. As input data, our approach relies on measurement grid maps, which contain oc...
