Monocular Semantic Occupancy Grid Mapping With Convolutional Variational Encoder-Decoder Networks

In this letter, we research and evaluate end-to-end learning of monocular semantic-metric occupancy grid mapping from weak binocular ground truth. The network learns to predict four classes, as well as a camera to bird's eye view mapping. At the core, it utilizes a variational encoder-decoder n...

Ausführliche Beschreibung