Scenario Development and Testing of Uncertainty-Aware AV Behaviors

Institut

Lehrstuhl für Fahrzeugtechnik (TUM-ED)

Typ

Bachelorarbeit / Semesterarbeit / Masterarbeit /

Inhalt

experimentell /  

Beschreibung

MOTIVATION

Autonomous Vehicles (AVs) still faces a lot of challenges despite the success and technological achievements within the last few years. One of the core problems is the field of safety and safe operation. It has to be ensured that the AV operate safely under all condition, even when their perception of the environment is uncertain (e. g. due to bad weather, sensor noise, or unusual traffic situations). Safe decision making is therefore difficult to solve. To tackle this, different use cases has to be defined and modeled to validate a uncertainty aware system. 

In this project, you will contribute to cutting-edge research on safe autonomous driving, focusing on how an AV should adapt its behavior, especially when confidence in perception or prediction is reduced.

Your main task will be to design, implement, and evaluate driving scenarios that explicitly introduce uncertainty into the AV stack. Using the CARLA simulator together with the open source software stack Autoware, you will create urban and highway scenarios including adverse weather, partial sensor degradation, ambiguous obstacles, or unpredictable traffic participants. You will then systematically test and compare vehicle behavior with and without an uncertainty-aware safety module, and analyze metrics such as safety, number of stops, driving efficiency, and robustness.  

Voraussetzungen

Your Role

• Literature research on fault models, fail cases and uncertainties in AV decision making
• Tool onboarding with Autoware and CARLA
• Design and Implementation of selected urban and highway scenarios
• Evaluate implemented scenarios with safety and risk metrics
• Analysis of data and Documentation of results

What you should bring along

• Strong Motivation and Interest for AVs
• Basic Knowledge in Programming, e. g. Python, C++
• Structured and independent way of working

 

If you are interested in joining this project, feel free to send me an application with your CV and transcript of records. I look forward to receive your application.

 

Verwendete Technologien

Autonomous Driving, Safety, CARLA, ROS2

Tags

FTM Studienarbeit, FTM AV, FTM AV Safe Operation, FTM Karunainayagam

Möglicher Beginn

sofort

Kontakt

Nijinshan Karunainayagam, M. Eng.
Raum: MW3507
Tel.: +49 89 289 15386
nijinshan.karunainayagamtum.de