Early detection of the Pedestrian's intention to cross the street. - Sebastian Köhler 004; Michael Goldhammer; Sebastian Bauer 002; Konrad Doll; Ulrich Brunsmann; Klaus Dietmayer (ITSC, 2012)

Cooperative multi sensor network for traffic safety applications at intersections. - Michael Goldhammer; Elias Strigel; Daniel Alexander Meissner; Ulrich Brunsmann; Konrad Doll; Klaus Dietmayer (ITSC, 2012)

Early prediction of a pedestrian's trajectory at intersections. - Michael Goldhammer; Matthias Gerhard; Stefan Zernetsch; Konrad Doll; Ulrich Brunsmann (ITSC, 2013)

Stationary Detection of the Pedestrian?s Intention at Intersections. - Sebastian Köhler 004; Michael Goldhammer; Sebastian Bauer 002; Stephan Zecha; Konrad Doll; Ulrich Brunsmann; Klaus Dietmayer (IEEE Intell. Transp. Syst. Mag., 2013)

Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks. - Michael Goldhammer; Konrad Doll; Ulrich Brunsmann; Andre Gensler; Bernhard Sick (ICPR, 2014)

Analysis on termination of pedestrians' gait at urban intersections. - Michael Goldhammer; Andreas Hubert; Sebastian Köhler 004; Klaus Zindler; Ulrich Brunsmann; Konrad Doll; Bernhard Sick (ITSC, 2014)

Stereo-Vision-Based Pedestrian's Intention Detection in a Moving Vehicle. - Sebastian Köhler 004; Michael Goldhammer; Klaus Zindler; Konrad Doll; Klaus Dietmayer (ITSC, 2015)

Trajectory prediction of cyclists using a physical model and an artificial neural network. - Stefan Zernetsch; Sascha Kohnen; Michael Goldhammer; Konrad Doll; Bernhard Sick (Intelligent Vehicles Symposium, 2016)

Selbstlernende Algorithmen zur videobasierten Absichtserkennung von Fußgängern. - Michael Goldhammer (2017)

Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning. - Michael Goldhammer; Sebastian Köhler 004; Stefan Zernetsch; Konrad Doll; Bernhard Sick; Klaus Dietmayer (IEEE Trans. Intell. Transp. Syst., 2020)