Interventions in the vehicle dynamics for autonomous driving maneuvers

In addition to simulations, the use of real vehicles is an essential component in the development of integrated vehicle safety systems. In order to realize reproducible driving maneuvers for integrated vehicle safety systems, the use of soft dummies as well as the possibility of controlling vehicles via software are indispensable, in addition to the precise localization of objects in real time. While simulations are comparatively inexpensive to carry out, working with real vehicles is resource-intensive. Therefore, the selection of relevant driving maneuvers plays a central role in the development of integrated safety systems.

Current projects

KEPF

User-oriented test systematics for piloted driving

AUSM

Automated Driving in Silent-Mode

Completed projects

STF

Safe Trajectory Control by using Driving Robots

Publications

F. Kruber, E. Sánchez Morales, S. Chakraborty and M. Botsch, "Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles", IEEE Intelligent Vehicles Symposium, Las Vegas, 2020

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.