Institut für Mess- und Regelungstechnik (MRT)
Frank Bieder

M.Sc. Frank Bieder

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

Research

My research interest lies at the intersection of computer vision and machine learning in the context of mobile perception systems. Currently, I am working on deep learning methods for 3D scene understanding to enable map-less driving or self-localization in sparse planning maps. In particular, I am interested in exploring how to overcome data shortage by leveraging the 6D pose awareness of mobile systems in highly accurate semantic 3D maps . Exampels of my current research are:

Lehre

  • Übungsleiter der Vorlesung Messtechnik II (SS20, WS20/21)
  • Aufgabensteller Grundlagen der Mess- und Regelungstechnik (SS19, WS19/20, SS20)
  • Mechatronik-Praktikum (WS19/20)
  • Rechnergestützte Verfahren in der Mess- und Regelungstechnik (WS19/20, WS20/21)

Akademische Dienste

  • Reviewer for
    • IEEE ITS Intelligent Vehicles (IV2020)
    • IEEE RAS International Conference for Robotics and Automatisation (ICRA2021)

Zu vergebende Bachelor-, Diplom-, Master- und Studienarbeiten

Abgeschlossene Bachelor-, Diplom-, Master- und Studienarbeiten

  • Occlusion Handling for Automatic Data Generation using HD Maps and a highly accurate SLAM, master thesis, November 2020
  • Fusion of Simultaneously Learned Semantic Information from Different Representations,  master thesis, November 2020
  • A Comparison of Different Approachesto Solve the SLAM Problem on a Formula Student Driverless Race Car, master thesis, November 2020
  • Combining Sequential LiDAR Measurements For Semantic Segmentation of Multi-Layer Grid Maps, master thesis, November 2020
  • Panoptic Segmentation of Urban Scenarios, master thesis, September 2020

Veröffentlichungen

Frank Bieder, Sascha Wirges, Johannes Janosovits, Sven Richter, Zheyuan Wang, Christoph Stiller. Exploiting Multi-Layer Grid Maps for Surround-View Semantic Segmentation of Sparse LiDAR Data. In Proc. IEEE Int. Conf. Intelligent Vehicles, Las Vegas, USA, June 2020.

Frank Bieder, Muti Ur Rehman, Christoph Stiller. Fusion of Sequential Information for Semantic Grid Map Estimation. In Forum Bildverarbeitung, Karlsruhe, Germany, Nov 2020.