Determination of similarities between scenarios for safeguarding highly automated driving functions

Context

Future innovations in the automotive industry will focus on automated driving and highly networked communication. Virtualization solutions are increasingly being used to adequately test and validate these technologies.
Scenario-based approaches can be used to test and validate systems. In this project, critical scenarios are to be identified on the basis of measurement data from real and simulated journeys. Subsequently, an approach is to be developed that uses a similarity analysis to identify a catalog of relevant scenarios.

Tasks

• You identify critical parameters in a scenario.
• You will contribute ideas for the similarity analysis of different scenarios.
• You implement and visualize the developed methods and ideas.
• You are involved in projects and play an active role 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