| Camera tracking in lighting adaptable maps of indoor environments T Caselitz, M Krawez, J Sundram, M Van Loock, W Burgard 2020 IEEE International Conference on Robotics and Automation (ICRA), 3334-3340, 2020 | 8 | 2020 |
| Building Dense Reflectance Maps of Indoor Environments using an RGB-D Camera M Krawez, T Caselitz, D Büscher, M Van Loock, W Burgard | 7* | |
| Lan-grasp: Using large language models for semantic object grasping R Mirjalili, M Krawez, S Silenzi, Y Blei, W Burgard arXiv preprint arXiv:2310.05239, 2023 | 6 | 2023 |
| Fm-loc: Using foundation models for improved vision-based localization R Mirjalili, M Krawez, W Burgard 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 5 | 2023 |
| Real-time outdoor illumination estimation for camera tracking in indoor environments M Krawez, T Caselitz, J Sundram, M Van Loock, W Burgard IEEE Robotics and Automation Letters 6 (3), 6084-6091, 2021 | 3 | 2021 |
| Method for simulating the illumination of an indoor scene observed by a camera illuminated by outdoor light and system J Sundram, M Van Loock, M Krawez, T Caselitz, W Burgard US Patent App. 17/679,597, 2022 | 1 | 2022 |
| Adaptable maps for visual camera localization under dynamic illumination M Krawez Dissertation, Universität Freiburg, 2022, 2022 | | 2022 |
| Method and system for building a lighting adaptable map of an indoor scene and using it for estimating an unknown light setting J Sundram, M Van Loock, T Caselitz, M Krawez, W Burgard US Patent App. 17/160,696, 2021 | | 2021 |
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergAdresse e-mail validée de utn.de
