| Explore, Approach, and Terminate: Evaluating Subtasks in Active Visual Object Search Based on Deep Reinforcement Learning JF Schmid, M Lauri, S Frintrop 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 16 | 2019 |
| Predicting I/O performance in HPC using artificial neural networks JF Schmidt, JM Kunkel Supercomputing Frontiers and Innovations 3 (3), 19-33, 2016 | 16 | 2016 |
| Ground texture based localization using compact binary descriptors JF Schmid, SF Simon, R Mester 2020 IEEE International Conference on Robotics and Automation (ICRA), 1315-1321, 2020 | 12 | 2020 |
| Features for Ground Texture Based Localization--A Survey JF Schmid, SF Simon, R Mester arXiv preprint arXiv:2002.11948, 2020 | 11 | 2020 |
| HD Ground-A Database for Ground Texture Based Localization JF Schmid, SF Simon, R Radhakrishnan, S Frintrop, R Mester 2022 International Conference on Robotics and Automation (ICRA), 7628-7634, 2022 | 5 | 2022 |
| Ground Texture Based Localization: Do We Need to Detect Keypoints? JF Schmid, SF Simon, R Mester 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 5 | 2020 |
| Deep Metric Learning for Ground Images R Radhakrishnan, JF Schmid, R Scholz, L Schmidt-Thieme arXiv preprint arXiv:2109.01569, 2021 | 3 | 2021 |
| Features for Ground Texture Based Localization--A Survey J Fabian Schmid, SF Simon, R Mester arXiv e-prints, arXiv: 2002.11948, 2020 | 1 | 2020 |
| Vorhersage von E/A-Leistung im Hochleistungsrechnen unter der Verwendung von neuronalen Netzen JF Schmid Universität Hamburg, Fachbereich Informatik, 2015 | 1 | 2015 |
| Method and device for mapping a deployment environment for at least one mobile unit and for locating at least one mobile unit in a deployment environment, and locating system … JF Schmid, S Simon US Patent App. 18/044,494, 2024 | | 2024 |
| Ground texture based localization JF Schmid Universitätsbibliothek Johann Christian Senckenberg, 2023 | | 2023 |
| Model-Based Parameter Optimization for Ground Texture Based Localization Methods JF Schmid, SF Simon, R Mester arXiv preprint arXiv:2109.01559, 2021 | | 2021 |
| Model-Based Parameter Optimization for Ground Texture Based Localization Methods J Fabian Schmid, SF Simon, R Mester arXiv e-prints, arXiv: 2109.01559, 2021 | | 2021 |
| Ground Texture Based Localization Using Compact Binary Descriptors J Fabian Schmid, SF Simon, R Mester arXiv e-prints, arXiv: 2002.11061, 2020 | | 2020 |
Rudolf MesterNTNU Trondheim, NorwayOverená e-mailová adresa na: ntnu.no