FURI | Fall 2022

Metrics Validation for Automated Vehicle Operational Safety

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One of the biggest questions facing the safe deployment and commercialization of automated driving system (ADS)-equipped vehicles (AVs) today is, “What level of operational safety performance is required compared to that of a human-driven vehicle (HDV)?” To answer this question, a methodology to quantitatively measure and contrast the operational safety performance of AVs and HDVs is required. Using CARLA, an open-source simulator for autonomous driving research, vehicles will be tested in various scenarios using vehicle controllers dictated by operational safety performance metrics. This research aims to improve those vehicle controllers and help validate those performance metrics.

Student researcher

Shujauddin Rahimi

Computer science

Hometown: Glendale, Arizona, United States

Graduation date: Fall 2022

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