Deep-Learning based Spectrum Prediction for Cognitive Automotive Radar Interference Mitigation
Schwarz, Marius, Aponte, Axel Acosta, Hakobyan, Gor
Published in 2023 IEEE Radar Conference (RadarConf23) (01.05.2023)
Published in 2023 IEEE Radar Conference (RadarConf23) (01.05.2023)
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Conference Proceeding
Semi-Supervised Active Learning for Radar based Object Classification Using Track Consistency
Benz, Johannes, Weiss, Christian, Aponte, Axel Acosta, Hakobyan, Gor
Published in 2023 IEEE Radar Conference (RadarConf23) (01.05.2023)
Published in 2023 IEEE Radar Conference (RadarConf23) (01.05.2023)
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Conference Proceeding
Graph Neural Networks for Object Type Classification Based on Automotive Radar Point Clouds and Spectra
Saini, Loveneet, Acosta, Axel, Hakobyan, Gor
Published in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (04.06.2023)
Published in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (04.06.2023)
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Conference Proceeding
An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models
Klaiber, Michael J, Vogel, Sebastian, Acosta, Axel, Korn, Robert, Ecco, Leonardo, Back, Kristine, Guntoro, Andre, Feldner, Ingo
Published in arXiv.org (18.11.2019)
Published in arXiv.org (18.11.2019)
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Paper
Journal Article
Aufbereitung der von einem Machine Learning-Modell ermittelten Schätzungen für Objekteigenschaften
Hakobyan, Gor, Benz, Johannes, Acosta Aponte, Axel Javier, Weiss, Christian
Year of Publication 25.07.2024
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Year of Publication 25.07.2024
Patent