SafeML's out-of-distribution detection is fed into a Bayesian network so that unreliable ML perception shifts an autonomous platoon into a fallback safety state.
IEEE Access10, 39769–39781 (2022)
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Incorporating Failure of Machine Learning in Dynamic Probabilistic Safety Assurance
SafeML's out-of-distribution detection is fed into a Bayesian network so that unreliable ML perception shifts an autonomous platoon into a fallback safety state.