Determination of similarities of scenarios for safeguarding highly automated driving functions.

Context

Future innovations in the automotive industry will be in the area of automated driving and highly networked communication. In order to be able to adequately test and secure these technologies, virtualization solutions are increasingly being used.
Scenario-based approaches can be used to test and validate systems. Within the scope of this work, critical scenarios are to be found on the basis of measurement data from real and simulated journeys. Subsequently, an approach is to be developed that identifies a catalog of relevant scenarios by means of a similarity analysis.

Tasks

• You identify critical parameters in a scenario.
• You contribute ideas for the similarity analysis of different scenarios.
• You implement and visualize the developed methods and ideas.
• You are involved in projects and actively participate in the project context.

Requirements

• Character strengths: Showing self-initiative & "out-of-the-box" thinking
• Study focus: information technology, signal processing, computer vision, machine learning
• Experience: Python and/or Matlab