Florian Wirth

Dr.-Ing. Florian Wirth

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

Forschung

  • 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)
  • Parameter analysis regarding the "Responsibility Sensitive Safety" approach
  • Conditional behavior prediction of interacting agents on road map graphs with deep learning

Veröffentlichungen

Florian Wirth, Carlos Fernandez-Lopez, Christoph Stiller. Bedingte Verhaltensprädiktion interagierender Agenten. In 15. Workshop Fahrerassistenzsysteme. Berkheim, Germany. Uni-DAS, 2023. [ .pdf ]

Florian Wirth. Conditional Behavior Prediction of Interacting Agents on Map Graphs with Neural Networks. Dissertation, Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie (KIT), Karlsruhe, 2023. [ DOI | http ]

Florian Wirth, Julian Wadephul, Alexander Scheid, Carlos Fernandez-Lopez, Christoph Stiller. Model-based State Estimation of Two-Wheelers. In Proc. IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, USA, May 2022. [ DOI | .pdf ]

Maximilian Naumann*, Florian Wirth*, Fabian Oboril, Kay-Ulrich Scholl, Maria Soledad Elli, Ignacio Alvarez, Jack Weast, Christoph Stiller. On Responsibility Sensitive Safety in Car-following Situations - A Parameter Analysis on German Highways. In Proc. IEEE Intelligent Vehicles Symposium (IV), Nagoya, Japan, June 2021. [ DOI | http ]

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

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"). [ DOI | .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. [ DOI | http ]

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 ]

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 Proc. IEEE Intelligent Vehicles Symposium (IV), Seiten 114--118. IEEE, 2019. [ DOI | http ]

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 ]

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