Risk Assessment of Driving Maneuvers of Autonomous Vehicles under Positioning Uncertainty

Institut

Lehrstuhl für Fahrzeugtechnik

Typ

Masterarbeit /

Inhalt

experimentell /  

Beschreibung

BACKGROUND

Autonomous vehicles (AV)  promise safer and efficient mobility, but their reliability strongly depends on accurate positioning. GPS- or LiDAR faults can lead to inaccurate positioning. Even small localization errors can have a significant impact on safety-critical maneuvers.

Therefore, the effects of positioning inaccuracies for AVs shall be investigated in this Master Thesis. For this, a method for quantifying risk by considering the localization uncertainty and the current environmental context of the AV is to be researched on and developed. This risk assessment is applied on a real world AV software stack (Autoware) and analysed in a simulation environment under the effects of different localization uncertainties. 

YOUR ROLE

• broad literature review on AV Localization, Localization Uncertainty and Risk Assessment
• design and development of a risk assessment method considering internal and external states
• Analysis of the effects of localization uncertainties on the risk of AVs
• Interpretation and documentation of the results

Voraussetzungen

WHAT YOU SHOULD BRING WITH

• strong motivation in autonomous systems
• analytic way of thinking
• independent and proactive way of working

Verwendete Technologien

Autonomous Driving, Risk, Localization, 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