Aktuelle Themenstellungen - Automatisiertes Fahren

Key Data

• Type of thesis: Bachelor/Master thesis
• Prior knowledge: Python
• Language: German or English
• Entry Date: Earliest possible date
• Department: Automated Driving

Topic and Goal of the Thesis

Vehicles are driving increasingly automated. But how can we prove that these vehicles are safe?
This is the key question to assure safety of automated vehicles. To prove this in realistic tests, driving scenarios on a variety of intersections have to be generated.
In this work, you shall investigate how real driving scenarios can be transferred realistically between different urban intersections. Especially the characteristics of intersections shall be considered, and existing driving scenarios shall be adapted to them. Based on the developed method, scenarios shall be generated and compared to real scenarios.

Working Points

• Literature research on the topics of description of urban intersections and generation of driving scenarios
• Analysis of the impact of intersection geometry and topology of the behaviour of road users
• Development of a method to transfer driving between intersections
• Comparison of generated scenarios to real-world data

Requirements

• Good English or German language skills
• Basic knowledge in automotive engineering
• Reliability, commitment, and enjoyment of working independently as well as methodically
• Experienced in python