activities

A collection of my professional and academic activities

advisor

talks and lectures

  • An End-to-End differentiable stack for Automated Driving, Autonomous Driving Meetup, Ehningen, Germany, February 2024
  • Von Sensoren bis zur Entscheidungsfindung: Das komplexe Gehirn autonomer Fahrzeuge, VDI Wissensforum - Umfelderfassung im Fahrzeug, Nürnberg, Germany, November 2023
  • Von Sensoren bis zur Entscheidungsfindung: Das komplexe Gehirn autonomer Fahrzeuge, Esslingen University, Stuttgart, Germany, November 2023
  • Guest Lectures on Image Segmentation and (Convolutional) Neural Networks in course “Digital Image Processing”, University of Stuttgart, Germany, June 2023
  • Scalable 3D Scene Understanding for Autonomous Driving, Munich University of Applied Science, Germany, November 2022
  • Domain Adaptation for Automotive 3D Scene Understanding, Autonomous Driving Meetup, Munich, Germany, Sept 2022
  • Guest Lecture on (Convolutional) Neural Networks in course “Digital Image Processing”, University of Stuttgart, Germany, June 2022
  • Quantifying point cloud realism through adversarially learned latent representations, German Conference on Pattern Recognition (GCPR), virtual, Oct 2021 (video)
  • Deep domain adaptation for LiDAR perception, Workshop Autonomy at Scale, Intelligent Vehicles Symposium (IV), virtual, June 2021 (more)

organizer and editor

  • IEEE Intelligent Vehicles Symposium, Area Chair
  • Third Workshop Autonomy@Scale, IEEE Intelligent Vehicles Symposium, Associate Editor and Organizer, Anchorage, USA, June 2023 (more)
  • Second Workshop Autonomy@Scale, IEEE Intelligent Vehicles Symposium, Associate Editor and Organizer, Aachen, Germany, June 2022 (more)

supervised (PhD) students

  • Peizheng Li (doctoral thesis on open world object detection for automated vehicles), 2023 - present
  • Abinav Kalyanasundaram (master thesis on uncertainty estimation for open set detection in camera images), 2022
  • Bjarne Johannsen (master thesis on domain invariant feature learning via geometric cues for cross-sensor semantic segmentation of LiDAR point clouds), 2021/22
  • Andre Bühler (master thesis on GAN-based synthesis of 3D point clouds conditioned on continuous object dimensions), 2021
  • Ahmed Agha (internship about cross-sensor domain translation of 3D LiDAR point clouds), 2020

competitions