Can EDGAR do Bus? - Transforming an Autonomous Vehicle Simulation Platform for City Bus Applications

Institut

Lehrstuhl für Fahrzeugtechnik (TUM-ED)

Typ

Bachelorarbeit / Semesterarbeit / Masterarbeit /

Inhalt

 

Beschreibung

MOTIVATION

Autonomous mobility is gaining increasing attention as technological progress accelerates. While companies such as Waymo, Wayve, and Nuro already operate autonomous vehicles in production environments providing ride-hailing services in the United States, the automation of public transport systems such as city buses is still at an early stage of development.

At the Technical University of Munich, the EDGAR research vehicle provides a flexible platform for autonomous driving research. EDGAR has been demonstrated in several projects, including the Wiesn Shuttle and the IAA Mobility 2025, showcasing the current capabilities of autonomous mobility technologies. However, transferring these capabilities to larger public transport vehicles such as city buses introduces new challenges in vehicle dynamics, perception, planning, and simulation.

The goal of this thesis is to research on what it takes to transform an autonomous driving platform into a platform suitable for city bus applications. For this the existing digital twin vEDGAR should be transformed into a bus simulation. The effects of this on the automation software shall be analyzed and evaluated. 

Voraussetzungen

YOUR ROLE

• Literature research on “Autonomous Driving”, "Bus Dynamics", “Bus Automation”
• Analyze the existing vEDGAR model and conceptualize a bus adaptation
• Define suitable validation strategy with suitable scenarios
• Implement the model within the vEDGAR simulation platform and validate the effects on the automation software
• Analysis of data and documentation of results

WHAT SHOULD YOU 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 (CC niklas.krauss@tum.de) an application with your CV and transcript of records. We look forward to receive your application.

Verwendete Technologien

Autonomous Driving, Vehicle Model, ROS2, CARLA, Simulation

Tags

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

Möglicher Beginn

sofort

Kontakt

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