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EuRAD: Analysis of a Machine Learning Based Virtual Array Augmentation Technique for Automotive Radar
Proceedings of the 19th European Radar Conference Analysis of a Machine Learning Based Virtual Array Augmentation Technique for Automotive Radar Maximilian Eschbaumer, Simon Achatz, Gabor Balazs Infineon Technologies AG, Neubiberg, Germany {maximilian.eschbaumer, simon.achatz, gabor.balazs}@infineon.com II. AI MODEL Abstract — The goal of array augmentation in automotive radar is enhancing the d
EuRAD: mm-Wave Radar Hand Shape Classification Using Deformable Transformers
Proceedings of the 19th European Radar Conference mm-Wave Radar Hand Shape Classification Using Deformable Transformers Athmanarayanan Lakshmi Narayanan#1 , Asma Beevi K. T.#2 , Haoyang Wu*#3 , Jingyi Ma*#4 , W. Margaret Huang#5 # Intel Labs, Santa Clara CA, USA Intel Labs, Intel Labs China, China { 1 athma.lakshmi.narayanan, 2 asma.kuriparambil.thekkumpate, 3 haoyang.wu, 4 jingyi.ma, 5 margaret
EuRAD: Spiking Neural Networks for Gesture Recognition Using Time Domain Radar Data
Proceedings of the 19th European Radar Conference Spiking Neural Networks for Gesture Recognition Using Time Domain Radar Data Ahmed Shaaban#*1 , Wolfgang Furtner#2 , Robert Weigel*3 , Fabian Lurz*4 # Infineon Technologies AG, Munich, Germany for Electronics Engineering, University of Erlangen-Nuremberg, Erlangen, Germany {1 Ahmed.Shaaban, 2 Wolfgang.Furtner}@infineon.com, {3 Robert.Weigel, 4 Fa
EuRAD: W-Band GB-SAR for 3D Imaging
Proceedings of the 19th European Radar Conference W-Band GB-SAR for 3D Imaging A. Beni, T. Consumi, L. Miccinesi, M. Pieraccini Department of Information Engineering, University of Florence, Italy alessandra.beni@unifi.it A way to reduce the size of a GB-SAR is operating at a higher frequency. Recently, a new class of mm wave radars have been designed, for automotive purposes [9]. These small an
EuRAD: Variable Traffic Scenario Generation for Testing Automotive Radar Sensors
Proceedings of the 19th European Radar Conference Variable Traffic Scenario Generation for Testing Automotive Radar Sensors Patrick Rippl# , Pirmin Schoeder* , Timo Grebner* , Christian Waldschmidt* , and Thomas Walter# # Ulm University of Applied Sciences, Germany of Microwave Engineering, Ulm University, Germany {# name.surname}@thu.de, {* name.surname}@uni-ulm.de * Institute II. W ORKING P
EuRAD: Investigation of Error and Noise Effects in Irregular Near-Field Imaging via the Multi-Level Fast Spectral Domain Algorithm
Proceedings of the 19th European Radar Conference Investigation of Error and Noise Effects in Irregular Near-Field Imaging via the Multi-Level Fast Spectral Domain Algorithm Matthias M. Saurer1 and Thomas F. Eibert2 Chair of High-Frequency Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, 80290 Munich, Germany {1 matthias.saurer, 2 eibert} @tum.de
EuRAD: Contact-Free Pedestrian Tracking Using Massive MIMO-OFDM Communication System
Proceedings of the 19th European Radar Conference Contact-Free Pedestrian Tracking Using Massive MIMO-OFDM Communication System Chenglong Li†1 , Sibren De Bast‡2 , Yang Miao‡♯3 , Emmeric Tanghe†4 , Sofie Pollin‡5 , Wout Joseph†6 † WAVES group, Department of Information Technology, Ghent University-imec, 9052 Ghent, Belgium ‡ Department of Electrical Engineering, KU Leuven, 3000 Leuven, Belgium ♯
EuRAD: Instantaneous Ego-Motion Estimation Using a Coherent Radar Network
Proceedings of the 19th European Radar Conference Instantaneous Ego-Motion Estimation Using a Coherent Radar Network Marcel Hoffmann#1 , Lena Krabbe#2 , Christian Sch¨ußler#3 , Peter Gulden*4 , Martin Vossiek#5 # Institute of Microwaves and Photonics (LHFT), Friedrich-Alexaner-Universit¨at Erlangen-N¨urnberg, Germany * indie Semiconductor, Germany 1 2 3 { marcel.mh.hoffmann, lena.krabbe, christi
EuRAD: Tomographic Processing of Bistatic Airborne SAR Data from the TomoSense Campaign
Proceedings of the 19th European Radar Conference Tomographic Processing of Bistatic Airborne SAR Data from the TomoSense Campaign Mauro Mariotti d'Alessandro#1 , Stefano Tebaldini#2 # Politecnico di Milano, DEIB, Italy {1 mauro.mariotti, 2 stefano.tebaldini}@polimi.it alignment of the images, the other is the compensation of any phase delay not included in the φ = kz · z model; two powerful al
EuRAD: Joint Pedestrian Gesture Recognition and Orientation Estimation from Multistatic Radar Data
Proceedings of the 19th European Radar Conference Joint Pedestrian Gesture Recognition and Orientation Estimation from Multistatic Radar Data Nicolai Kern1 , Ahmed Badr, Timo Grebner1 , Pirmin Schoeder1 , Christian Waldschmidt1 Ulm University, Institute of Microwave Engineering, 89081 Ulm, Germany 1 {author}@uni-ulm.de Abstract — Radar-based detection of traffic gestures can play an important ro