Colocated MIMO radar: Cramer-Rao bound and optimal time division multiplexing for DOA estimation of moving targets. - Kilian Rambach; Bin Yang 009 (ICASSP, 2013)

Optimal time division multiplexing schemes for DOA estimation of a moving target using a colocated MIMO radar. - Kilian Rambach; Markus Vogel; Bin Yang 009 (ISSPIT, 2014)

Direction-of-arrival estimation and Cramer-Rao bound for multi-carrier MIMO radar. - Michael Ulrich; Kilian Rambach; Bin Yang 009 (EUSIPCO, 2016)

Direction of arrival estimation using a multiple-input-multiple-output radar with applications to automobiles - Kilian Rambach (2017)

DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities. - Elias Eulig; Piyapat Saranrittichai; Chaithanya Kumar Mummadi; Kilian Rambach; William Beluch; Xiahan Shi; Volker Fischer 003 (ICCV, 2021)

DeepHybrid: Deep Learning on Automotive Radar Spectra and Reflections for Object Classification. - Adriana-Eliza Cozma; Lisa Morgan; Martin Stolz; David Stöckel; Kilian Rambach (ITSC, 2021)

Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra. - Kanil Patel; William Beluch; Kilian Rambach; Adriana-Eliza Cozma; Michael Pfeiffer 001; Bin Yang 009 (CoRR, 2021)

Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation. - Chaithanya Kumar Mummadi; Robin Hutmacher; Kilian Rambach; Evgeny Levinkov; Thomas Brox; Jan Hendrik Metzen (CoRR, 2021)

Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing. - Kanil Patel; William Beluch; Kilian Rambach; Michael Pfeiffer 001; Bin Yang 009 (CoRR, 2021)

Histogram-based Deep Learning for Automotive Radar. - Maxim Tatarchenko; Kilian Rambach (CoRR, 2023)

Radar Spectra-Language Model for Automotive Scene Parsing. - Mariia Pushkareva; Yuri Feldman; Csaba Domokos; Kilian Rambach; Dotan Di Castro (CoRR, 2024)