Ulrich Hofmann

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 10

Top Topics

Reinforcement Learning

Driving Behavior

Bayesian Nonparametric

Top Venues

Publications

Fabian Konstantinidis, Moritz Sackmann, Ulrich Hofmann, Christoph Stiller
Graph-Based Adversarial Imitation Learning for Predicting Human Driving Behavior. IV (2024)
Fabian Konstantinidis, Moritz Sackmann, Ulrich Hofmann, Christoph Stiller
Modeling Interaction-Aware Driving Behavior using Graph-Based Representations and Multi-Agent Reinforcement Learning. ITSC (2023)
Moritz Sackmann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke
Modeling Driver Behavior using Adversarial Inverse Reinforcement Learning. IV (2022)
Tobias Leemann, Moritz Sackmann, Jörn Thielecke, Ulrich Hofmann
Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling. CoRR (2021)
Moritz Sackmann, Tobias Leemann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke
Multi-Step Training for Predicting Roundabout Traffic Situations. ITSC (2021)
Fabian Konstantinidis, Ulrich Hofmann, Moritz Sackmann, Jörn Thielecke, Oliver De Candido, Wolfgang Utschick
Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios. ITSC (2021)
Tobias Leemann, Moritz Sackmann, Jörn Thielecke, Ulrich Hofmann
Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling. ESANN (2021)
Moritz Sackmann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke
Prediction Error Reduction of Neural Networks for Car-Following Using Multi-Step Training. ITSC (2020)
Moritz Sackmann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke
Classification of Driver Intentions at Roundabouts. VEHITS (2020)
Carina Vogl, Moritz Sackmann, Ludwig Kürzinger, Ulrich Hofmann
Frenet Coordinate Based Driving Maneuver Prediction at Roundabouts Using LSTM Networks. CSCS (2020)
Frank Dierkes, Marvin Raaijmakers, Max Theo Schmidt, Mohamed Essayed Bouzouraa, Ulrich Hofmann, Markus Maurer
Towards a Multi-hypothesis Road Representation for Automated Driving. ITSC (2015)
Martin Kellner, Ulrich Hofmann, Mohamed Essayed Bouzouraa, Stephan Neumaier
Multi-cue, Model-Based Detection and Mapping of Road Curb Features Using Stereo Vision. ITSC (2015)
Max Theo Schmidt, Ulrich Hofmann, Stephan Neumaier
3D Lane Boundary Tracking Using Local Linear Segments. ITSC (2015)
Martin Kellner, Ulrich Hofmann, Mohamed Essayed Bouzouraa, Hannah Kasper, Stephan Neumaier
Laserscanner based road curb feature detection and efficient mapping using local curb descriptions. ITSC (2014)
Max Theo Schmidt, Ulrich Hofmann, Mohamed Essayed Bouzouraa
A novel goal oriented concept for situation representation for ADAS and automated driving. ITSC (2014)
Martin Kellner, Mohamed Essayed Bouzouraa, Ulrich Hofmann
Road curb detection based on different elevation mapping techniques. Intelligent Vehicles Symposium (2014)
Tobias Weiherer, Sayed Bouzouraa, Ulrich Hofmann
An interval based representation of occupancy information for driver assistance systems. ITSC (2013)
Kai Schueler, Marvin Raaijmakers, Stephan Neumaier, Ulrich Hofmann
Detecting parallel moving vehicles with monocular omnidirectional side cameras. Intelligent Vehicles Symposium (2013)
Tobias Weiherer, Mohamed Essayed Bouzouraa, Ulrich Hofmann
A generic map based environment representation for driver assistance systems applied to detect convoy tracks. ITSC (2012)
Kai Schueler, Tobias Weiherer, Mohamed Essayed Bouzouraa, Ulrich Hofmann
360 Degree multi sensor fusion for static and dynamic obstacles. Intelligent Vehicles Symposium (2012)
Michael Baer, Ulrich Hofmann, Stefan Gies
Multiple track 4D-road representation. Intelligent Vehicles Symposium (2010)
Mohamed Essayed Bouzouraa, Ulrich Hofmann
Fusion of occupancy grid mapping and model based object tracking for driver assistance systems using laser and radar sensors. Intelligent Vehicles Symposium (2010)