grid-map

Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs

The comprehensive representation and understanding of the driving environment is crucial to improve the safety and reliability of autonomous vehicles. In this paper, we present a new approach to establish an environment model containing a …

Object Detection on Dynamic Occupancy Grid Maps Using Deep Learning and Automatic Label Generation

We tackle the problem of object detection and pose estimation in a shared space downtown environment. For perception multiple laser scanners with 360◦ coverage were fused in a dynamic occupancy grid map (DOGMa). A single-stage deep convolutional …