Stefan Hoermann

Publication Activity (10 Years)

Years Active: 2003-2019
Publications (10 Years): 16

Top Topics

Object Extraction

Recurrent Neural Networks

Autonomous Driving

Top Venues

Intelligent Vehicles Symposium

Publications

Nico Engel, Stefan Hoermann, Markus Horn, Vasileios Belagiannis, Klaus Dietmayer
DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks. CoRR (2019)
Marcel Schreiber, Stefan Hoermann, Klaus Dietmayer
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks. ICRA (2019)
Nico Engel, Stefan Hoermann, Markus Horn, Vasileios Belagiannis, Klaus Dietmayer
DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks. ITSC (2019)
Nico Engel, Stefan Hoermann, Philipp Henzler, Klaus Dietmayer
Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs. ITSC (2018)
Nico Engel, Stefan Hoermann, Philipp Henzler, Klaus Dietmayer
Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs. CoRR (2018)
Marcel Schreiber, Stefan Hoermann, Klaus Dietmayer
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks. CoRR (2018)
Stefan Hoermann, Philipp Henzler, Martin Bach, Klaus Dietmayer
Object Detection on Dynamic Occupancy Grid Maps Using Deep Learning and Automatic Label Generation. CoRR (2018)
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)
Daniel Stumper, Fabian Gies, Stefan Hoermann, Klaus Dietmayer
Offline Object Extraction from Dynamic Occupancy Grid Map Sequences. Intelligent Vehicles Symposium (2018)
Daniel Stumper, Fabian Gies, Stefan Hoermann, Klaus Dietmayer
Offline Object Extraction from Dynamic Occupancy Grid Map Sequences. CoRR (2018)
Stefan Hoermann, Martin Bach, Klaus Dietmayer
Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling. ICRA (2018)
Stefan Hoermann, Daniel Stumper, Klaus Dietmayer
Probabilistic long-term prediction for autonomous vehicles. Intelligent Vehicles Symposium (2017)
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)
Stefan Hoermann, Martin Bach, Klaus Dietmayer
Learning Long-Term Situation Prediction for Automated Driving. ICMLA (2017)
Stefan Hoermann, Martin Bach, Klaus Dietmayer
Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling. CoRR (2017)
Stefan Hoermann, Tobias Hlavka, Michael Schermann, Helmut Krcmar
Determinants of vendor profitability in two contractual regimes: an empirical analysis of enterprise resource planning projects. J. Inf. Technol. 30 (4) (2015)
Stefan Hoermann, Michael Schermann, Marco Aust, Helmut Krcmar
Risk Profiles in Individual Software Development and Packaged Software Implementation Projects: A Delphi Study at a German-Based Financial Services Company. Int. J. Inf. Technol. Proj. Manag. 5 (4) (2014)
Michael Schermann, Michael Lang, Stefan Hoermann, Burt Swanson, Helmut Krcmar
When Does Learning Pay Off? The Relationship of Organizational Learning and ITO Vendor Profitability. ICIS (2014)
Stefan Hoermann, Paulo Vinicius Koerich Borges
Vehicle Localization and Classification Using Off-Board Vision and 3-D Models. IEEE Trans. Robotics 30 (2) (2014)
Stefan Hoermann, Marco Aust, Michael Schermann, Helmut Krcmar
Comparing Risks in Individual Software Development and Standard Software Implementation Projects: A Delphi Study. HICSS (2012)
Stefan Hoermann, Konrad Dongus, Michael Schermann, Helmut Krcmar
Do Vendors Include Transaction Characteristics in Their Risk Estimation? An Empirical Analysis of ERP Projects. ICIS (2012)
Martin Sutter, Michael Schermann, Stefan Hoermann, Helmut Krcmar
Calculating the conditional value at risk in IS projects: towards a single measure of project risk. ECIS (2011)
Stefan Hoermann, Paulo Vinicius Koerich Borges
Robot localization using 3D-models and an off-board monocular camera. ICCV Workshops (2011)
Stefan Hoermann, Harald Kienegger, Melanie Langermeier, Manuel Mayer, Helmut Krcmar
Comparing Risk and Success Factors in ERP Projects: A Literature Review. AMCIS (2011)
Stefan Hoermann, Michael Schermann, Helmut Krcmar
Variations in risk exposure: a longitudinal analysis of enterprise software projects. ECIS (2011)
Stefan Hoermann, Christoph Rensing, Ralf Steinmetz
Wiederverwendung von Lernressourcen mittels Authoring by Aggregation im ResourceCenter. DeLFI (2005)
Leandro Soares Indrusiak, Manfred Glesner, Ricardo Augusto da Luz Reis, Giuliana Alcántara, Stefan Hoermann, Ralf Steinmetz
Reducing Authoring Costs of Online Training in Microelectronics Design by Reusing Design Documentation Content. MSE (2003)
Stefan Hoermann, Ronny John, Cornelia Seeberg, Ralf Steinmetz
Evaluation von Datenbanken zur Speicherung von strukturierten Metadaten am Beispiel LOM. DeLFI (2003)
Stefan Hoermann, Cornelia Seeberg, Luka Divac-Krnic, Oliver Merkel, Andreas Faatz, Ralf Steinmetz
Representation of Knowledge as Support for Authors of Reusable Educational Content. WWW (Posters) (2003)
Stefan Hoermann, Cornelia Seeberg, Luka Divac-Krnic, Oliver Merkel, Andreas Faatz, Ralf Steinmetz
Building Structures of Reusable Educational Content Based on LOM. CAiSE Workshops (2003)