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Jan Fabian Schmid
Jan Fabian Schmid
Bosch Corporate Research
Verified email at de.bosch.com
Title
Cited by
Cited by
Year
Predicting I/O performance in HPC using artificial neural networks
JF Schmidt, JM Kunkel
Supercomputing Frontiers and Innovations 3 (3), 19-33, 2016
142016
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
122019
Features for Ground Texture Based Localization--A Survey
JF Schmid, SF Simon, R Mester
arXiv preprint arXiv:2002.11948, 2020
112020
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
92020
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
52020
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
22022
Deep Metric Learning for Ground Images
R Radhakrishnan, JF Schmid, R Scholz, L Schmidt-Thieme
arXiv preprint arXiv:2109.01569, 2021
12021
Vorhersage von E/A-Leistung im Hochleistungsrechnen unter der Verwendung von neuronalen Netzen
JF Schmid
Universität Hamburg, Fachbereich Informatik, 2015
12015
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
Features for Ground Texture Based Localization--A Survey
J Fabian Schmid, SF Simon, R Mester
arXiv e-prints, arXiv: 2002.11948, 2020
2020
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