Stefan Hörmann

According to our database, Stefan Hörmann authored at least 13 papers between 2011 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Long-term prediction using grid based environment models for urban autonomous driving.

Stefan Hörmann

PhD thesis, 2020

2019

DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks.

Nico Engel, Stefan Hoermann, Markus Horn, Vasileios Belagiannis, Klaus Dietmayer

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks.

Marcel Schreiber, Stefan Hoermann, Klaus Dietmayer

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Offline Object Extraction from Dynamic Occupancy Grid Map Sequences.

Daniel Stumper, Fabian Gies, Stefan Hoermann, Klaus Dietmayer

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Object Detection on Dynamic Occupancy Grid Maps Using Deep Learning and Automatic Label Generation.

Stefan Hoermann, Philipp Henzler, Martin Bach, Klaus Dietmayer

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs.

Nico Engel, Stefan Hoermann, Philipp Henzler, Klaus Dietmayer

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling.

Stefan Hoermann, Martin Bach, Klaus Dietmayer

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Probabilistic long-term prediction for autonomous vehicles.

Stefan Hoermann, Daniel Stumper, Klaus Dietmayer

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Entering crossroads with blind corners. A safe strategy for autonomous vehicles.

Stefan Hoermann, Felix Kunz, Dominik Nuss, Stephan Reuter, Klaus Dietmayer

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Automated vehicle system architecture with performance assessment.

Ömer Sahin Tas, Stefan Hörmann, Bernd Schäufele, Florian Kuhnt

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Learning Long-Term Situation Prediction for Automated Driving.

Stefan Hoermann, Martin Bach, Klaus Dietmayer

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2014

Vehicle Localization and Classification Using Off-Board Vision and 3-D Models.

Stefan Hoermann, Paulo Vinicius Koerich Borges

IEEE Trans. Robotics, 2014

2011

Robot localization using 3D-models and an off-board monocular camera.

Stefan Hoermann, Paulo Vinicius Koerich Borges

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011