Prof. Dr.-Ing. Fabian Lurz



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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Complex-Valued Neural Networks for Millimeter Wave FMCW-Radar Angle Estimations (2022) Kaiser K, Daugalas J, Lopez-Randulfe J, Knoll A, Weigel R, Lurz F Conference contribution A Light Weight 3x3 Switched Polarity URA Antenna and Receive System for Direction Finding (2022) Depold A, Dorn C, Erhardt S, Weigel R, Lurz F Conference contribution, Conference Contribution Integrated Classification and Tracking of Vulnerable Road Users using Automotive Radars (2022) Dubey A, Lurz F Conference contribution, Abstract of lecture BayesRadar : Bayesian Metric-Kalman Filter Learning for Improved and Reliable Radar Target Classification (2021) Dubey A, Santra A, Fuchs J, Lübke M, Weigel R, Lurz F Conference contribution, Conference Contribution Integrated Classification and Localization of Targets using Bayesian Framework in Automotive Radars (2021) Dubey A, Santra A, Fuchs J, Lübke M, Weigel R, Lurz F Conference contribution, Conference Contribution Influence of parasitic modes in SAW resonators on the measurement accuracy of wireless time domain sampling readers (2021) Lurz F, Hagelauer A Conference contribution, Abstract of lecture Data-driven Radar Processing Using a Parametric Convolutional Neural Network for Human Activity Classification (2021) Stadelmayer T, Santra A, Weigel R, Lurz F Journal article, Original article Improved Target Detection and Feature Extraction using a Complex-Valued Adaptive Sinc Filter on Radar Time Domain Data (2021) Stadelmayer T, Santra A, Stadelmayer M, Weigel R, Lurz F Conference contribution, Conference Contribution A Bayesian Framework for Integrated Deep Metric Learning and Tracking of Vulnerable Road Users Using Automotive Radars (2021) Dubey A, Santra A, Fuchs J, Lübke M, Weigel R, Lurz F Journal article, Original article Radar-based monitoring of glass fiber reinforced composites during fatigue testing (2021) Moll J, Maetz T, Maelzer M, Krozer V, Mischke K, Krause S, Bagemiel O, et al. Journal article