Autor/in Lurz, Fabian 6 Santra, Avik Weigel, Robert 6 Dubey, Anand 3 Fuchs, Jonas Benjamin 3 Stadelmayer, Thomas 3 Lübke, Maximilian 2 Fischer, Georg 1 Lubke, Maximilian 1 Stadelmayer, Markus 1 Stephan, Michael 1 alle zeigenListe einklappen
Radar image reconstruction from Raw ADC data using parametric variational autoencoder with domain adaptation Stephan, Michael Stadelmayer, Thomas Santra, Avik Fischer, Georg Weigel, Robert Lurz, Fabian 2021 - TUHH Open Research
Data-driven Radar Processing Using a Parametric Convolutional Neural Network for Human Activity Classification Stadelmayer, Thomas Santra, Avik Weigel, Robert Lurz, Fabian 2021 - TUHH Open Research
Bayesradar : Bayesian Metric-Kalman filter learning for improved and reliable radar target classification Dubey, Anand Santra, Avik Fuchs, Jonas Benjamin Lübke, Maximilian Weigel, Robert Lurz, Fabian 2021 - TUHH Open Research
Improved Target Detection and Feature Extraction using a Complex-Valued Adaptive Sine Filter on Radar Time Domain Data Stadelmayer, Thomas Santra, Avik Stadelmayer, Markus Weigel, Robert Lurz, Fabian 2021 - TUHH Open Research
Integrated Classification and Localization of Targets Using Bayesian Framework In Automotive Radars Dubey, Anand Santra, Avik Fuchs, Jonas Benjamin Lubke, Maximilian Weigel, Robert Lurz, Fabian 2021 - TUHH Open Research
A Bayesian framework for integrated deep metric learning and tracking of vulnerable road users using automotive radars Dubey, Anand Santra, Avik Fuchs, Jonas Benjamin Lübke, Maximilian Weigel, Robert Lurz, Fabian 2021 - TUHH Open Research - frei zugänglich