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Research on the topic of perception sensor simulation development and validation in ADAS/automated driving is being conducted at the Institute of Automotive Engineering Darmstadt (FZD). To this end, this thesis aims to develop a method that can be used to systematically derive test scenarios for the development and validation of lidar and radar sensor simulations.
Supervisor: Kristof Hofrichter, M.Sc.
At the Institute of Automotive Engineering (FZD) at TU Darmstadt, we develop modeling and validation strategies for Automated Driving Systems (ADS) within the framework of the DFG MiRoVA research project. To simulate the operational and tactical driving behavior of varying automation levels and system designs, this thesis investigates the application of stochastic state machines.
Supervisor: Can Kemmler, M.Sc.
An accurate collection an interpretation of the data plays a central role for the development of driving assistance systems. HD-Maps provide detailed information about the road infrastructure, traffic rules and geometric properties. In order to evaluate and train driving functions, a ground truth is necessary to verify the algorithms.
Supervisor: Cristian Martinez, M.Sc.
Research on the topic of perception sensor simulation in ADAS/automated driving is being conducted at the Institute for Automotive Engineering Darmstadt (FZD) in collaboration with Porsche. To this end, approaches for simulating degradation effects in lidar sensors will be investigated and developed.
Supervisor: Kristof Hofrichter, M.Sc.