Resilient and Safe Automated Driving – The Next Big Thing
- Institut
- Lehrstuhl für Fahrzeugtechnik
- Typ
- Bachelorarbeit Semesterarbeit Masterarbeit
- Inhalt
- experimentell
- Beschreibung
BACKGROUND
In this thesis you will contribute to resilience and safety in remote automated driving. Resilience is a concept that includes two steps:
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Detect an unsafe behavior that you don't want in your system
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recover into safe behavior again
While theoretically well described, this concepts lacks practical application, especially in remote driving. We need your help to change that! Together with other students you will work on a resilience concept that is at the end of your thesis applied to our real world vehicle EDGAR. You may contribute via one of the following topics:
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Scenario Testing for Resilience KPIs for Remote Operation
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Network Emulation Framework for Resilience
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Case Studies of Use Cases for Resilience in Remote Operation
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Refinement of an Ability Awareness Protocol
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Research towards Explainability of Resliience Mechanisms
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Steady State Analysis of a Teleoperation Software Stack
YOUR ROLE
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Literature research: Review of literature on Resilience, Remote Operation and your particular focus
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Development & implementation: Development & implementation of your concepts in a real-world teleoperation software stack
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Analysis and Validation: Analyse and discuss your results scientifically
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- Voraussetzungen
WHAT SHOULD YOU BRING ALONG?
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Strong interest & motivation for autonomous driving
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Initiative & independent way of working
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Programming skills, e.g. C++/Python
If interested, please send us a grade sheet with your CV!
Nijinshan Karunainayagam | ✉ nijinshan.karunainayagam @tum.de
Nils Gehrke | ✉ nils.gehrke@tum.de
Xiyan Su | ✉ xiyan.su@tum.de-
- Verwendete Technologien
- C++, Python, ROS2
- Tags
- FTM Studienarbeit, FTM AV, FTM AV Safe Operation, FTM Karunainayagam, FTM Gehrke, FTM Su, FTM Informatik
- Möglicher Beginn
- sofort
- Kontakt
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Nijinshan Karunainayagam, M. Eng.
Raum: MW3507
Tel.: +49 89 289 15386
nijinshan.karunainayagamtum.de - Ausschreibung
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