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Kürsat Petek

Your position
Postal address:

Albert-Ludwigs-Universität Freiburg
Technische Fakultät
Robot Learning Lab
Georges-Köhler-Allee 080
D-79110 Freiburg i. Br., Germany

Office: 080-00-024
Email: petek@cs.uni-freiburg.de
Phone: +49 761 203-8013

About me

  • 08/2020 - current: Ph.D. Student in the Autonomous Intelligent Systems group led by Prof. Dr. Wolfram Burgard; collaborating with Robot Learning Lab led by Prof. Dr. Abhinav Valada
  • 06/2016 - 05/2020: M.Sc. in Electrical Engineering and Information Technology, Karlsruhe Institute of Technology (KIT)
  • 10/2012 - 06/2016: B.Sc. in Electrical Engineering and Information Technology, Karlsruhe Institute of Technology (KIT)

Research Interests

  • Perception
  • Self-supervised, weakly-supervised learning
  • Domain adaptation
  • Online/offline mapping, 3D reconstruction
  • Visual SLAM, localization and odometry

Current Research Projects

Publications

2023

  • Markus Käppeler*, Kürsat Petek*, Niclas Vödisch*, Wolfram Burgard, Abhinav Valada
    SPINO: Few-Shot Panoptic Segmentation With Foundation Models
    arXiv preprint arXiv:2309.10726, 2023,
    Paper BibTeX
  • Niclas Vödisch*, Kürsat Petek*, Wolfram Burgard, Abhinav Valada
    CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation
    Robotics: Science and Systems (RSS), Daegu, South Korea, 2023.,
    Paper BibTeX
  • Nikhil Gosala*, Kürsat Petek*, Wolfram Burgard, Abhinav Valada
    SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023.,
    Paper BibTeX

2022

  • Kürsat Petek*, Kshitij Sirohi*, Daniel Büscher, Wolfram Burgard
    Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation
    IEEE International Conference on Robotics and Automation (ICRA) 2022, Philadelphia, USA,
    Paper BibTeX

2020

  • Jan-Hendrik Pauls*, Kürsat Petek*, Fabian Poggenhans, Cristoph Stiller
    Monocular Localization in HD Maps by Combining Semantic Segmentation and Distance Transform

    The International Conference on Intelligent Robots and Systems (IROS) 2020, Las Vegas, USA,
    Paper BibTeX