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Jonas Fuchs
Jonas Fuchs
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Cited by
Year
Radar-based heart sound detection
C Will, K Shi, S Schellenberger, T Steigleder, F Michler, J Fuchs, R Weigel, ...
Scientific reports 8 (1), 1-14, 2018
782018
Automotive radar interference mitigation using a convolutional autoencoder
J Fuchs, A Dubey, M Lübke, R Weigel, F Lurz
2020 IEEE International Radar Conference (RADAR), 315-320, 2020
292020
Single-snapshot direction-of-arrival estimation of multiple targets using a multi-layer perceptron
J Fuchs, R Weigel, M Gardill
2019 IEEE MTT-S International Conference on Microwaves for Intelligent …, 2019
212019
A dataset of radar-recorded heart sounds and vital signs including synchronised reference sensor signals
K Shi, S Schellenberger, C Will, T Steigleder, F Michler, J Fuchs, R Weigel, ...
Scientific data 7 (1), 1-12, 2020
202020
A multi-layer perceptron applied to number of target indication for direction-of-arrival estimation in automotive radar sensors
M Gardill, J Fuchs, C Frank, R Weigel
2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018
132018
A machine learning perspective on automotive radar direction of arrival estimation
J Fuchs, M Gardill, M Lübke, A Dubey, F Lurz
IEEE access 10, 6775-6797, 2022
112022
A bayesian framework for integrated deep metric learning and tracking of vulnerable road users using automotive radars
A Dubey, A Santra, J Fuchs, M Lübke, R Weigel, F Lurz
IEEE access 9, 68758-68777, 2021
112021
Spectrum-based single-snapshot super-resolution direction-of-arrival estimation using deep learning
M Gall, M Gardill, T Horn, J Fuchs
2020 German Microwave Conference (GeMiC), 184-187, 2020
92020
In-situ time-frequency analysis of the 77 ghz bands using a commercial chirp-sequence automotive fmcw radar sensor
M Gardill, J Schwendner, J Fuchs
2019 IEEE MTT-S International Microwave Symposium (IMS), 544-547, 2019
92019
Model order estimation using a multi-layer perceptron for direction-of-arrival estimation in automotive radar sensors
J Fuchs, R Weigel, M Gardill
2019 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet …, 2019
92019
Programmable systems for intelligence in automobiles (PRYSTINE): Final results after Year 3
N Druml, A Ryabokon, R Schorn, J Koszescha, K Ozols, A Levinskis, ...
2021 24th Euromicro Conference on Digital System Design (DSD), 268-277, 2021
72021
HARadNet: Anchor-free target detection for radar point clouds using hierarchical attention and multi-task learning
A Dubey, A Santra, J Fuchs, M Lübke, R Weigel, F Lurz
Machine Learning with Applications 8, 100275, 2022
62022
Programmable Systems for Intelligence in Automobiles (PRYSTINE): Technical Progress after Year 2
N Druml, B Debaillie, A Anghel, NC Ristea, J Fuchs, A Dubey, T Reißland, ...
2020 23rd Euromicro Conference on Digital System Design (DSD), 360-369, 2020
62020
An approach to over-the-air synchronization of commercial chirp-sequence automotive radar sensors
M Gardill, J Schwendner, J Fuchs
2020 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT …, 2020
62020
Channel characterization at 77 GHz for vehicular communication
M Lübke, H Hamoud, J Fuchs, A Dubey, R Weigel, F Lurz
2020 IEEE Vehicular Networking Conference (VNC), 1-4, 2020
52020
Region based single-stage interference mitigation and target detection
A Dubey, J Fuchs, V Madhavan, M Lübke, R Weigel, F Lurz
2020 IEEE Radar Conference (RadarConf20), 1-5, 2020
52020
Combining radar and communication at 77 GHz using a CDMA technique
M Lübke, J Fuchs, V Shatov, A Dubey, R Weigel, F Lurz
2020 IEEE MTT-S International Conference on Microwaves for Intelligent …, 2020
42020
Learning representations for neural networks applied to spectrum-based Direction-of-Arrival estimation for automotive radar
M Gall, M Gardill, J Fuchs, T Horn
2020 IEEE/MTT-S International Microwave Symposium (IMS), 1031-1034, 2020
32020
Generative adversial network based extended target detection for automotive MIMO radar
A Dubey, J Fuchs, M Lübke, R Weigel, F Lurz
2020 IEEE International Radar Conference (RADAR), 220-225, 2020
32020
Uncertainty analysis of deep neural network for classification of vulnerable road users using micro-doppler
A Dubey, J Fuchs, T Reissland, R Weigel, F Lurz
2020 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT …, 2020
32020
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