Analysis and Design of a Sensor Setup for Autonomous City Buses
- Institut
- Lehrstuhl für Fahrzeugtechnik (TUM-ED)
- Typ
- Bachelorarbeit Semesterarbeit
- 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. Extending these technologies to larger public transport vehicles requires a careful analysis of sensing requirements and sensor placement in order to ensure reliable perception in dense urban environments.
City buses introduce new perception challenges due to their larger dimensions, different mounting positions for sensors, and specific operational scenarios such as frequent stops, close interactions with pedestrians and cyclists, and operation in narrow urban streets.
The goal of this thesis is to analyze and design a suitable sensor setup for autonomous city bus applications.
- Voraussetzungen
YOUR ROLE
- Analyze perception requirements for autonomous city bus operation in urban environments
- Investigate suitable sensor modalities (e.g., LiDAR, radar, cameras) for bus applications
- Evaluate sensor placement options considering the geometry and operational constraints of city buses
- Identify coverage gaps and perception challenges in typical urban scenarios
- Propose and evaluate an optimized sensor configuration for autonomous bus operation
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 (and niklas.krauss<script>document.write('@');</script>
<noscript>(at)</noscript>tum.de in CC) an application with your CV and transcript of records. We look forward to receive your application.- Verwendete Technologien
- Autonomous Driving, Sensors
- 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