ESTIMATION OF PROBABILITY OF COLLISION WITH INCREASING SEVERITY LEVEL FOR AUTONOMOUS VEHICLES
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United States of America
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Jan 20, 2022
app pub date -
Jul 13, 2021
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Jul 13, 2021
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Abstract
Computer-implemented methods and processing systems for estimating a probability of failure for different severity levels for an Automated Driving System (ADS) feature in a virtual test environment are provided. The estimation of a probability of crash of different severities may be enabled by utilizing a limit state function (LSF) that attains increasingly negative or positive values after crash (e.g., when TTC=0 or PET=0). This may be achieved by defining a function for severity that is more negative for more severe crashes. The LSF may include a function of the delta speed at collision (i.e., minus delta speed at collision).
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