Kürsat Petek
Albert-Ludwigs-Universität Freiburg |
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
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[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)
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[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
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[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.
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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
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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