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Kürsat Petek

Albert-Ludwigs-Universität Freiburg
Technische Fakultät
Autonome Intelligente Systeme
Georges-Köhler-Allee 080
D-79110 Freiburg i. Br., Germany
Office:   080-00-024

petek@informatik.uni-freiburg.de
Phone:   +49 761 203-8013

About me

  • 08/2020 - up to now: Working at the Autonomous Intelligent Systems group
  • 06/2016 - 05/2020: Master o.Sc. in Electrical Engineering and Information Technology, Karlsruhe Institute of Technology (KIT)
  • 10/2012 - 06/2016: Bachelor o.Sc. in Electrical Engineering and Information Technology, Karlsruhe Institute of Technology (KIT)

Research Interests

  • Perception
  • Self-supervised, weakly-supervised learning
  • Online mapping and domain adaptation
  • Learning-based 3D reconstruction and mapping
  • Visual SLAM, localization and odometry

Current Research Projects

  • KaLiMU: Integrated Camera and Lidar Sensor for Mobile Robotics Applications
  • ISA 4.0: Intelligent Sensor System for Autonomous Monitoring of Production Plants in Industry 4.0

Publications

Conference Papers

  • [NEW] Markus Käppeler*, Kürsat Petek*, Niclas Vödisch*, Wolfram Burgard, Abhinav Valada
    SPINO: Few-Shot Panoptic Segmentation With Foundation Models
    arXiv preprint arXiv:2309.10726 (2023)
  • [NEW] 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
  • [NEW] Nikhil Gosala*, Kürsat Petek*, Paulo L.J. Drews-Jr, Wolfram Burgard, Abhinav Valada
    SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
    IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023.
  • 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), Philadelphia, USA, 2022
  • Jan-Hendrik Pauls*, Kürsat Petek*, Fabian Poggenhans, Christoph Stiller
    Monocular Localization in HD Maps by Combining Semantic Segmentation and Distance Transform
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020
  • * Equal contribution
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