most citedRadar-Based Recognition of Static Hand Gestures in American Sign Language

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV20241 cited

Radar-Based Recognition of Static Hand Gestures in American Sign Language

Christian Schuessler, Wenxuan Zhang, Johanna Bräunig +3

In the fast-paced field of human-computer interaction (HCI) and virtual reality (VR), automatic gesture recognition has become increasingly essential. This is particularly true for…

eess.SP2023

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…

eess.SP2023

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…

eess.SP2023

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…

eess.SP2023

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…