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Trajectory predictions form the basis for many planning and action modules in advanced driver assistance systems (ADAS) and autonomous vehicles (AV). One approach being investigated in the TarA project is whether it is possible to draw conclusions about the performance and safety of the system by measuring the divergence of its predictions.
Supervisor: Daniel Betschinske, M.Sc.
2023/12/20
In this thesis, conducted in collaboration with Daimler Truck AG within the context of the ATDa project, research will be undertaken to explore the opportunities and limitations associated with a novel function designed to detect free space around a truck. The objectives are to perform a comprehensive literature review of ongoing and existing implementations and a comparative analysis of similar driving functions.
Supervisor: Cristian Martinez, M.Sc.