Optimization of a Fault-Injection Framework for Automated Driving Systems

Institut
Lehrstuhl für Fahrzeugtechnik
Typ
Semesterarbeit /
Inhalt
experimentell / konstruktiv /  
Beschreibung

BACKGROUND

Fault-Injection is a well-known method to test fault tolerance algorithms and mechanisms of various systems. Especially in Cyber-Physical Systems, like autonomous robots and vehicles, the structured injection of faults into the system is advantageous to validate and verifiy the system’s robustness and resilience in the presence of faults. Even in the automotive functional safety standard (ISO26262), fault-injection is recommended to use.
In this project, you have the chance to work on an existing ROS2 (Robot Operating System) fault-injection framework. This fault-injection framework should be optimized in terms of its usability, modularity, and generalization. The main tasks will be getting comfortable and understanding the current version, identifying problems and discontinuities, and working on new features to handle those. Using a ROS2 software stack of a teleoperation system for automated driving, you can validate and test your work continuously.

 

YOUR ROLE

  • Onboarding: Get comfortable with the current fault-injection framework and its used mechanisms
  • Critical Analysis: Analyse existing problems and impediments in terms of usability, modularity and generalization
  • Implementation: propose solutions for the problem(s) and implement suitable solutions (according to literature or community)
  • Documentation: Document your code and work continuously
Voraussetzungen

WHAT SHOULD YOU BRING ALONG?

  • Strong interest & motivation for automated driving systems
  • Initiative & independent way of working
  • Programming skills, e.g. C++

YOUR BENEFITS?

  • Opportunity to work on a real-world teleoperation stack
  • Option to write a master thesis afterwards
Verwendete Technologien
C++, ROS2
Tags
FTM Studienarbeit, FTM AV, FTM AV Safe Operation, FTM Karunainayagam, FTM Informatik
Möglicher Beginn
01.03.2025
Kontakt
Nijinshan Karunainayagam, M. Eng.
Raum: MW3507
Tel.: +49 89 289 15386
nijinshan.karunainayagamtum.de
Ausschreibung