Ulrich Hofmann

According to our database, Ulrich Hofmann authored at least 21 papers between 2010 and 2024.

Collaborative distances:

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

2024

Graph-Based Adversarial Imitation Learning for Predicting Human Driving Behavior.

Fabian Konstantinidis, Moritz Sackmann, Ulrich Hofmann, Christoph Stiller

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

Modeling Interaction-Aware Driving Behavior using Graph-Based Representations and Multi-Agent Reinforcement Learning.

Fabian Konstantinidis, Moritz Sackmann, Ulrich Hofmann, Christoph Stiller

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Modeling Driver Behavior using Adversarial Inverse Reinforcement Learning.

Moritz Sackmann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2021

Multi-Step Training for Predicting Roundabout Traffic Situations.

Moritz Sackmann, Tobias Leemann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios.

Fabian Konstantinidis, Ulrich Hofmann, Moritz Sackmann, Jörn Thielecke, Oliver De Candido, Wolfgang Utschick

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling.

Tobias Leemann, Moritz Sackmann, Jörn Thielecke, Ulrich Hofmann

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Classification of Driver Intentions at Roundabouts.

Moritz Sackmann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke

Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

Prediction Error Reduction of Neural Networks for Car-Following Using Multi-Step Training.

Moritz Sackmann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Frenet Coordinate Based Driving Maneuver Prediction at Roundabouts Using LSTM Networks.

Carina Vogl, Moritz Sackmann, Ludwig Kürzinger, Ulrich Hofmann

Proceedings of the CSCS '20: Computer Science in Cars Symposium, 2020

2015

3D Lane Boundary Tracking Using Local Linear Segments.

Max Theo Schmidt, Ulrich Hofmann, Stephan Neumaier

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Multi-cue, Model-Based Detection and Mapping of Road Curb Features Using Stereo Vision.

Martin Kellner, Ulrich Hofmann, Mohamed Essayed Bouzouraa, Stephan Neumaier

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Towards a Multi-hypothesis Road Representation for Automated Driving.

Frank Dierkes, Marvin Raaijmakers, Max Theo Schmidt, Mohamed Essayed Bouzouraa, Ulrich Hofmann, Markus Maurer

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014

Road curb detection based on different elevation mapping techniques.

Martin Kellner, Mohamed Essayed Bouzouraa, Ulrich Hofmann

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

A novel goal oriented concept for situation representation for ADAS and automated driving.

Max Theo Schmidt, Ulrich Hofmann, Mohamed Essayed Bouzouraa

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Laserscanner based road curb feature detection and efficient mapping using local curb descriptions.

Martin Kellner, Ulrich Hofmann, Mohamed Essayed Bouzouraa, Hannah Kasper, Stephan Neumaier

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013

Detecting parallel moving vehicles with monocular omnidirectional side cameras.

Kai Schueler, Marvin Raaijmakers, Stephan Neumaier, Ulrich Hofmann

Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

An interval based representation of occupancy information for driver assistance systems.

Tobias Weiherer, Sayed Bouzouraa, Ulrich Hofmann

Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2012

360 Degree multi sensor fusion for static and dynamic obstacles.

Kai Schueler, Tobias Weiherer, Mohamed Essayed Bouzouraa, Ulrich Hofmann

Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

A generic map based environment representation for driver assistance systems applied to detect convoy tracks.

Tobias Weiherer, Mohamed Essayed Bouzouraa, Ulrich Hofmann

Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

2010

Fusion of occupancy grid mapping and model based object tracking for driver assistance systems using laser and radar sensors.

Mohamed Essayed Bouzouraa, Ulrich Hofmann

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

Multiple track 4D-road representation.

Michael Baer, Ulrich Hofmann, Stefan Gies

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010