Comparison of random forest and long short-term memory network performances in classification tasks using radar. - Christian Wöhler; Ole Schumann; Markus Hahn; Jürgen Dickmann (SDF, 2017)

Semantic Segmentation on Radar Point Clouds. - Ole Schumann; Markus Hahn; Jürgen Dickmann; Christian Wöhler (FUSION, 2018)

Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Data. - Markus Horn; Ole Schumann; Markus Hahn; Jürgen Dickmann; Klaus Dietmayer (SDF, 2018)

Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification? - Nicolas Scheiner; Ole Schumann; Florian Kraus; Nils Appenrodt; Jürgen Dickmann; Bernhard Sick (FUSION, 2020)

Detection and Tracking on Automotive Radar Data with Deep Learning. - Julius F. Tilly; Stefan Haag; Ole Schumann; Fabio Weishaupt; Bharanidhar Duraisamy; Jürgen Dickmann; Martin Fritzsche (FUSION, 2020)

Scene Understanding With Automotive Radar. - Ole Schumann; Jakob Lombacher; Markus Hahn; Christian Wöhler; Jürgen Dickmann (IEEE Trans. Intell. Veh., 2020)

RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications. - Ole Schumann; Markus Hahn; Nicolas Scheiner; Fabio Weishaupt; Julius F. Tilly; Jürgen Dickmann; Christian Wöhler (FUSION, 2021)

Polarimetric Information Representation for Radar based Road User Detection with Deep Learning. - Julius F. Tilly; Ole Schumann; Fabio Weishaupt; Jürgen Dickmann; Gerd Waniliek (FUSION, 2021)

Machine learning applied to radar data: classification and semantic instance segmentation of moving road users - Ole Schumann (2021)

Road User Detection on Polarimetric Pre-CFAR Radar Data Level. - Julius F. Tilly; Fabio Weishaupt; Ole Schumann; Jürgen Dickmann; Gerd Wanielik (IEEE Robotics Autom. Lett., 2023)