Stefan Hoermann

17 papers A* 2B 4C 1Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2019	—	`conf`	DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks. ITSC Nico Engel, Stefan Hoermann, Markus Horn, Vasileios Belagiannis, Klaus Dietmayer
2019	J	`jnl`	DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks. CoRR Nico Engel, Stefan Hoermann, Markus Horn, Vasileios Belagiannis, Klaus Dietmayer
2019	A*	`conf`	Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks. ICRA Marcel Schreiber, Stefan Hoermann, Klaus Dietmayer
2018	—	`conf`	Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs. ITSC Nico Engel, Stefan Hoermann, Philipp Henzler, Klaus Dietmayer
2018	J	`jnl`	Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs. CoRR Nico Engel, Stefan Hoermann, Philipp Henzler, Klaus Dietmayer
2018	A*	`conf`	Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling. ICRA Stefan Hoermann, Martin Bach, Klaus Dietmayer
2018	J	`jnl`	Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks. CoRR Marcel Schreiber, Stefan Hoermann, Klaus Dietmayer
2018	B	`conf`	Object Detection on Dynamic Occupancy Grid Maps Using Deep Learning and Automatic Label Generation. Intelligent Vehicles Symposium Stefan Hoermann, Philipp Henzler, Martin Bach, Klaus Dietmayer
2018	J	`jnl`	Object Detection on Dynamic Occupancy Grid Maps Using Deep Learning and Automatic Label Generation. CoRR Stefan Hoermann, Philipp Henzler, Martin Bach, Klaus Dietmayer
2018	B	`conf`	Offline Object Extraction from Dynamic Occupancy Grid Map Sequences. Intelligent Vehicles Symposium Daniel Stumper, Fabian Gies, Stefan Hoermann, Klaus Dietmayer
2018	J	`jnl`	Offline Object Extraction from Dynamic Occupancy Grid Map Sequences. CoRR Daniel Stumper, Fabian Gies, Stefan Hoermann, Klaus Dietmayer
2017	J	`jnl`	Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling. CoRR Stefan Hoermann, Martin Bach, Klaus Dietmayer
2017	B	`conf`	Entering crossroads with blind corners. A safe strategy for autonomous vehicles. Intelligent Vehicles Symposium Stefan Hoermann, Felix Kunz, Dominik Nuss, Stephan Reuter, Klaus Dietmayer
2017	C	`conf`	Learning Long-Term Situation Prediction for Automated Driving. ICMLA Stefan Hoermann, Martin Bach, Klaus Dietmayer
2017	B	`conf`	Probabilistic long-term prediction for autonomous vehicles. Intelligent Vehicles Symposium Stefan Hoermann, Daniel Stumper, Klaus Dietmayer
2014	J	`jnl`	Vehicle Localization and Classification Using Off-Board Vision and 3-D Models. IEEE Trans. Robotics Stefan Hoermann, Paulo Vinicius Koerich Borges
2011	—	`conf`	Robot localization using 3D-models and an off-board monocular camera. ICCV Workshops Stefan Hoermann, Paulo Vinicius Koerich Borges