Kilian Rambach
Kilian Rambach
Bosch Center for Artificial Intelligence
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
Method for operating a MIMO radar
M Schoor, G Kuehnle, K Rambach, B Loesch
US Patent 9,448,302, 2016
MIMO radar: Time division multiplexing vs. code division multiplexing
K Rambach, B Yang
IET Digital Library, 2017
Direction of arrival estimation using a multiple-input-multiple-output radar with applications to automobiles
K Rambach
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
Method for determining a time multiplexing sequence for a MIMO radar
K Rambach, MK Vogel
US Patent 9,730,219, 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
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
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
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
Reconstruction of elevation information from radar data
G Hakobyan, K Rambach
US Patent App. 17/147,079, 2021
Histogram-based Deep Learning for Automotive Radar
M Tatarchenko, K Rambach
2023 IEEE Radar Conference (RadarConf23), 1-6, 2023
Processing of radar signals including suppression of motion artifacts
G Hakobyan, K Rambach
US Patent 11,585,894, 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
Data-based updating of the training of classifier networks
CK Mummadi, JH Metzen, K Rambach, R Hutmacher
US Patent App. 17/479,161, 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
Hybrid evaluation of radar data for classifying objects
K Rambach, LK Morgan, AE Cozma
US Patent App. 17/366,511, 2022
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