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ORCIDStefan Hörmann 0002
Person information
- affiliation (PhD 2020): University of Ulm, Institute of Measurement, Control, and Microtechnology, Germany
Other persons with the same name
- Stefan Hörmann 0001 — Technical University of Munich, Germany
- Stefan Hörmann 0003 (aka: Stefan Hoermann 0003) — TU München, Lehrstuhl für Wirtschaftsinformatik, Department of Information Systems, Germany
- Stefan Hoermann 0004 — Darmstadt University of Technology, Multimedia Communications - KOM, Department of Electronical Engineering and Information Technology, Germany
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2020 – today
- 2020
[b1]Stefan Hörmann:
Long-term prediction using grid based environment models for urban autonomous driving. University of Ulm, Germany, 2020
2010 – 2019
- 2019
- [c11]Marcel Schreiber, Stefan Hoermann, Klaus Dietmayer:
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks. ICRA 2019: 9299-9305 - [c10]Nico Engel, Stefan Hoermann, Markus Horn, Vasileios Belagiannis
, Klaus Dietmayer:
DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks. ITSC 2019: 926-933 - [i6]Nico Engel, Stefan Hoermann, Markus Horn, Vasileios Belagiannis, Klaus Dietmayer:
DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks. CoRR abs/1904.09007 (2019) - 2018
- [c9]Stefan Hoermann, Martin Bach, Klaus Dietmayer:
Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling. ICRA 2018: 2056-2063 - [c8]Nico Engel, Stefan Hoermann, Philipp Henzler, Klaus Dietmayer:
Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs. ITSC 2018: 3852-3858 - [c7]Daniel Stumper, Fabian Gies, Stefan Hoermann, Klaus Dietmayer:
Offline Object Extraction from Dynamic Occupancy Grid Map Sequences. Intelligent Vehicles Symposium 2018: 389-396 - [c6]Stefan Hoermann, Philipp Henzler, Martin Bach, Klaus Dietmayer:
Object Detection on Dynamic Occupancy Grid Maps Using Deep Learning and Automatic Label Generation. Intelligent Vehicles Symposium 2018: 826-833 - [i5]Stefan Hoermann, Philipp Henzler, Martin Bach, Klaus Dietmayer:
Object Detection on Dynamic Occupancy Grid Maps Using Deep Learning and Automatic Label Generation. CoRR abs/1802.02202 (2018) - [i4]Daniel Stumper, Fabian Gies, Stefan Hoermann, Klaus Dietmayer:
Offline Object Extraction from Dynamic Occupancy Grid Map Sequences. CoRR abs/1804.03933 (2018) - [i3]Nico Engel, Stefan Hoermann, Philipp Henzler, Klaus Dietmayer:
Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs. CoRR abs/1805.08986 (2018) - [i2]Marcel Schreiber, Stefan Hoermann, Klaus Dietmayer:
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks. CoRR abs/1809.03782 (2018) - 2017
- [c5]Stefan Hoermann, Martin Bach, Klaus Dietmayer:
Learning Long-Term Situation Prediction for Automated Driving. ICMLA 2017: 1000-1005 - [c4]Ömer Sahin Tas, Stefan Hörmann, Bernd Schäufele, Florian Kuhnt:
Automated vehicle system architecture with performance assessment. ITSC 2017: 1-8 - [c3]Stefan Hoermann, Daniel Stumper, Klaus Dietmayer:
Probabilistic long-term prediction for autonomous vehicles. Intelligent Vehicles Symposium 2017: 237-243 - [c2]Stefan Hoermann, Felix Kunz, Dominik Nuss, Stephan Reuter, Klaus Dietmayer:
Entering crossroads with blind corners. A safe strategy for autonomous vehicles. Intelligent Vehicles Symposium 2017: 727-732 - [i1]Stefan Hoermann, Martin Bach, Klaus Dietmayer:
Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling. CoRR abs/1705.08781 (2017) - 2014
- [j1]Stefan Hoermann, Paulo Vinicius Koerich Borges:
Vehicle Localization and Classification Using Off-Board Vision and 3-D Models. IEEE Trans. Robotics 30(2): 432-447 (2014) - 2011
- [c1]Stefan Hoermann, Paulo Vinicius Koerich Borges:
Robot localization using 3D-models and an off-board monocular camera. ICCV Workshops 2011: 1006-1013
Coauthor Index
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