Laufende Projekte

KEPF

Kundenorientere Erprobungssystematik für pilotiertes Fahren

STF

Sichere Trajektorienführung mittels Fahrroboter

Veröffentlichungen

  • F. Kruber, J. Wurst, E. Sánchez Morales, S. Chakraborty and M. Botsch, "Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification", 30th IEEE Intelligent Vehicles Symposium, 2019.
  • F. Kruber, J. Wurst, S. Charkraborty and M. Botsch, "Highway traffic data - macroscopic, microscopic and criticality analysis for capturing relevant traffic scenarios and traffic modeling based on the highD data set", arxiv.org (open access platform), 2019.
  • F. Kruber, J. Wurst, and M. Botsch, „An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization”, IEEE International Conference on Intelligent Transportation Systems, 2018.