1 citations · 1 across the 1 of their papers we have counts for
3 papers
A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping
Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser +1
A common approach for modeling the environment of an autonomous vehicle are dynamic occupancy grid maps, in which the surrounding is divided into cells, each containing the occupan…
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections
Michael Ulrich, Claudius Gläser, Fabian Timm
This paper presents an novel object type classification method for automotive applications which uses deep learning with radar reflections. The method provides object class informa…
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng, Christian Haase-Schütz, Lars Rosenbaum +5
Recent advancements in perception for autonomous driving are driven by deep learning. In order to achieve robust and accurate scene understanding, autonomous vehicles are usually e…