1 citations · 1 across the 2 of their papers we have counts for
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Concept for an Automatic Annotation of Automotive Radar Data Using AI-segmented Aerial Camera Images
Marcel Hoffmann, Sandro Braun, Oliver Sura +4
This paper presents an approach to automatically annotate automotive radar data with AI-segmented aerial camera images. For this, the images of an unmanned aerial vehicle (UAV) abo…
Super-Resolution Radar Imaging with Sparse Arrays Using a Deep Neural Network Trained with Enhanced Virtual Data
Christian Schuessler, Marcel Hoffmann, Martin Vossiek
This paper introduces a method based on a deep neural network (DNN) that is perfectly capable of processing radar data from extremely thinned radar apertures. The proposed DNN proc…
Implementation of Real-Time Automotive SAR Imaging
Marcel Hoffmann, Theresa Noegel, Christian Schüßler +4
This paper presents measures to reduce the computation time of automotive synthetic aperture radar (SAR) imaging to achieve real-time capability. For this, the image formation, whi…
Achieving Efficient and Realistic Full-Radar Simulations and Automatic Data Annotation by exploiting Ray Meta Data of a Radar Ray Tracing Simulator
Christian Schüßler, Marcel Hoffmann, Vanessa Wirth +4
In this work a novel radar simulation concept is introduced that allows to simulate realistic radar data for Range, Doppler, and for arbitrary antenna positions in an efficient way…