Institut für Mess- und Regelungstechnik (MRT)
Florian Wirth

M.Sc. Florian Wirth

  • Karlsruher Institut für Technologie
    Institut für Mess- und Regelungstechnik
    Engler-Bunte-Ring 21
    Gebäude 40.32
    D-76131 Karlsruhe


  • Probabilistic Pedestrian Prediction
  • Deep Learning in Automated Driving
  • State Estimation and Prediction of Vulnerable Road Users (VRUs)
  • Data Acquisition and Labeling within the European General Data Protection Regulation (DSGVO)

Laufende Abschlussarbeiten


Elias Birkefeld, Florian Wirth, Christoph Stiller. Extrinsische Kamera zu Lidar Kalibrierung in Virtual Reality. In Forum Bildverarbeitung, Karlsruhe, Germany, November 2020. [ .pdf ]

Javier Lorenzo Díaz, Ignacio Parra Alonso, Florian Wirth, Christoph Stiller, David Fernandez Llorca, Miguel A. Sotelo. RNN-Based Pedestrian Crossing Prediction Using Activity and Pose-Related Features. In Proc. IEEE Intelligent Vehicles Symposium (IV), Las Vegas, USA, June 2020.

Florian Wirth, Tao Wen, Carlos Fernandez Lopez, Christoph Stiller. Model-Based Prediction of Two-Wheelers. In Proc. IEEE Intelligent Vehicles Symposium (IV), Las Vegas, USA, June 2020. (2nd Place "Best Paper Award"). [ .pdf ]

Florian Wirth, Jannik Quehl, Jeffrey Ota, Christoph Stiller. PointAtMe: Efficient 3D Point Cloud Labeling in Virtual Reality. In Proc. IEEE Intelligent Vehicles Symposium (IV), Paris, France, June 2019. [ DOI | .pdf ]

Florian Wirth, Stephan Krane, Melanie Loos, Eike Rehder, Carlos Fernandez Lopez. What Does a Good Prediction Look Like? In Proc. IEEE International Conference on Intelligent Transportation Systems (ITSC), Auckland, New Zealand, Oktober 2019. [ DOI | .pdf ]

Alexander Masalov, Pavel Matrenin, Jeffrey Ota, Florian Wirth, Christoph Stiller, Heath Corbet, Eric Lee. Specialized Cyclist Detection Dataset: Challenging Real-World Computer Vision Dataset for Cyclist Detection Using a Monocular RGB Camera. In 2019 IEEE Intelligent Vehicles Symposium (IV), Seiten 114--118. IEEE, 2019. [ DOI | http ]

Eike Rehder, Florian Wirth, Martin Lauer, Christoph Stiller. Pedestrian prediction by planning using deep neural networks. In Proc. IEEE Int. Conf. International Conference on Robotics and Automation, May 2018. [ DOI | http ]