Assessing Hazardous Behavior of Automated Vehicles Using Hidden Markov Models
AssigneeRobert Bosch GmbH
InventorArmin Reisgys
Life of this patent
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Abstract
A method for assessing the safety of a vehicle or vehicle component includes accessing a state model for the vehicle or vehicle component. The state model is based on a hidden Markov model (HMM). The hidden states of the HMM represent safe and unsafe states of the vehicle or vehicle component. Observations of the HMM include observable events regarding the vehicle or vehicle component. The method further includes accessing a time series of data for a vehicle or vehicle component. The time series of data contains determined values for the observable parameters. The method also includes estimating probabilities of occurrence of the unsafe states of the vehicle or vehicle component using the HMM and the time series of data.
Claims13
A method for assessing safety of a vehicle or vehicle component, comprising:
- accessing a state model for the vehicle or vehicle component, wherein (i) the state model is based on a hidden Markov model (HMM), (ii) hidden states of the HMM represent safe and unsafe states of the vehicle or vehicle component, and (iii) observations of the HMM contain observable events regarding the vehicle or vehicle component;
- accessing a time series of data for the vehicle or vehicle component, wherein the time series of data contains determined values for the observable events;
- and
- estimating probabilities of occurrence of the unsafe states of the vehicle or vehicle component using the HMM and the time series of data.
A method for training a state model to assess safety of a vehicle or vehicle component, comprising:
- accessing a state model for the vehicle or vehicle component, wherein (i) the state model is based on a hidden Markov model (HMM), (ii) hidden states of the HMM represent safe and unsafe states of the vehicle or vehicle component, and (iii) observations of the HMM contain observable events regarding the vehicle or vehicle component,
- accessing a first time series of data for a vehicle or vehicle component that contains determined values for the observable events;
- accessing a second time series of safe and unsafe states of the vehicle or vehicle component associated with the first time series;
- and
- configuring the parameters of the HMM based on the first and second time series.
Dependencies are inferred from the claim text.