6 Einträge gefunden

1. Data-driven Radar Processing Using a Parametric Convolutional Neural Network for Human Activity Classification

   1. Stadelmayer, Thomas
   2. Santra, Avik
   3. Weigel, Robert
   4. Lurz, Fabian

   2021 - TUHH Open Research
2. A Bayesian framework for integrated deep metric learning and tracking of vulnerable road users using automotive radars

   1. Dubey, Anand
   2. Santra, Avik
   3. Fuchs, Jonas Benjamin
   4. Lübke, Maximilian
   5. Weigel, Robert
   6. Lurz, Fabian

   2021 - TUHH Open Research - frei zugänglich
3. Radar image reconstruction from Raw ADC data using parametric variational autoencoder with domain adaptation

   1. Stephan, Michael
   2. Stadelmayer, Thomas
   3. Santra, Avik
   4. Fischer, Georg
   5. Weigel, Robert
   6. Lurz, Fabian

   2021 - TUHH Open Research
4. Improved Target Detection and Feature Extraction using a Complex-Valued Adaptive Sine Filter on Radar Time Domain Data

   1. Stadelmayer, Thomas
   2. Santra, Avik
   3. Stadelmayer, Markus
   4. Weigel, Robert
   5. Lurz, Fabian

   2021 - TUHH Open Research
5. Integrated Classification and Localization of Targets Using Bayesian Framework In Automotive Radars

   1. Dubey, Anand
   2. Santra, Avik
   3. Fuchs, Jonas Benjamin
   4. Lubke, Maximilian
   5. Weigel, Robert
   6. Lurz, Fabian

   2021 - TUHH Open Research
6. Bayesradar : Bayesian Metric-Kalman filter learning for improved and reliable radar target classification

   1. Dubey, Anand
   2. Santra, Avik
   3. Fuchs, Jonas Benjamin
   4. Lübke, Maximilian
   5. Weigel, Robert
   6. Lurz, Fabian

   2021 - TUHH Open Research