| Deep learning-based object classification on automotive radar spectra K Patel, K Rambach, T Visentin, D Rusev, M Pfeiffer, B Yang 2019 IEEE Radar Conference (RadarConf), 1-6, 2019 | 145 | 2019 |
| Test-time adaptation to distribution shift by confidence maximization and input transformation CK Mummadi, R Hutmacher, K Rambach, E Levinkov, T Brox, JH Metzen arXiv preprint arXiv:2106.14999, 2021 | 71 | 2021 |
| Colocated MIMO radar: Cramer-Rao bound and optimal time division multiplexing for DOA estimation of moving targets K Rambach, B Yang 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 33 | 2013 |
| MIMO radar: Time division multiplexing vs. code division multiplexing K Rambach, B Yang International Conference on Radar Systems (Radar 2017), 1-5, 2017 | 29 | 2017 |
| Method for operating a MIMO radar M Schoor, G Kuehnle, K Rambach, B Loesch US Patent 9,448,302, 2016 | 26 | 2016 |
| Direction of arrival estimation of two moving targets using a time division multiplexed colocated MIMO radar K Rambach, B Yang 2014 IEEE Radar Conference, 1118-1123, 2014 | 22 | 2014 |
| Investigation of uncertainty of deep learning-based object classification on radar spectra K Patel, W Beluch, K Rambach, AE Cozma, M Pfeiffer, B Yang 2021 IEEE Radar Conference (RadarConf21), 1-6, 2021 | 15 | 2021 |
| Direction of arrival estimation using a multiple-input-multiple-output radar with applications to automobiles K Rambach | 15 | 2017 |
| Deephybrid: Deep learning on automotive radar spectra and reflections for object classification AE Cozma, L Morgan, M Stolz, D Stoeckel, K Rambach 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 12 | 2021 |
| Diagvib-6: A diagnostic benchmark suite for vision models in the presence of shortcut and generalization opportunities E Eulig, P Saranrittichai, CK Mummadi, K Rambach, W Beluch, X Shi, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 11 | 2021 |
| Method for determining a time multiplexing sequence for a MIMO radar K Rambach, MK Vogel US Patent 9,730,219, 2017 | 10 | 2017 |
| Optimal time division multiplexing schemes for DOA estimation of a moving target using a colocated MIMO radar K Rambach, M Vogel, B Yang 2014 IEEE International Symposium on Signal Processing and Information …, 2014 | 8 | 2014 |
| Direction-of-arrival estimation and Cramer-Rao bound for multi-carrier MIMO radar M Ulrich, K Rambach, B Yang 2016 24th European Signal Processing Conference (EUSIPCO), 1931-1935, 2016 | 3 | 2016 |
| Radar spectra-language model for automotive scene parsing M Pushkareva, Y Feldman, C Domokos, K Rambach, D Di Castro arXiv preprint arXiv:2406.02158, 2024 | 2 | 2024 |
| Histogram-based deep learning for automotive radar M Tatarchenko, K Rambach 2023 IEEE Radar Conference (RadarConf23), 1-6, 2023 | 2 | 2023 |
| Processing of radar signals including suppression of motion artifacts G Hakobyan, K Rambach US Patent 11,585,894, 2023 | 2 | 2023 |
| Device and method to adapt a pretrained machine learning system to target data that has different distribution than the training data without the necessity of human annotations … CK Mummadi, E Levinkov, JH Metzen, K Rambach, R Hutmacher US Patent App. 17/747,361, 2022 | 1 | 2022 |
| Locating and/or classifying objects based on radar data, with improved reliability at different distances K Patel, K Rambach, M Pfeiffer US Patent 11,269,059, 2022 | 1 | 2022 |
| Object classification with content and location sensitive classifiers CK Mummadi, A Khoreva, K Sakmann, K Rambach, P Saranrittichai, ... US Patent App. 17/234,118, 2021 | 1 | 2021 |
| Reconstruction of elevation information from radar data G Hakobyan, K Rambach US Patent App. 17/147,079, 2021 | 1 | 2021 |