Method and system for risk modeling in autonomous vehicles
First Claim
1. A method for adaptive risk modeling for an autonomous vehicle, the method comprising:
- with sensor systems associated with the autonomous vehicle, generating;
a comparative autonomous model that compares autonomous vehicle operation to human driving operation in a set of driving scenarios,a mix model characterizing operation of the autonomous vehicle in mixed-traffic driving scenarios,a sensor-surrounding model characterizing surroundings of the autonomous vehicle;
with a supplementary data extraction system, generating;
a geography-dependent model characterizing geographic location-specific acceptable driving behaviors;
with a security diagnostic system associated with the autonomous vehicle, generating a security risk model characterizing security risks of the autonomous vehicle;
in response to an identified driving mission of the autonomous vehicle, generating values of;
a comparative autonomous parameter, a mix model parameter, a surrounding risk parameter, a geographic operation parameter, and a security risk parameter upon evaluating situational inputs associated with the identified driving mission with the comparative autonomous model, the mix model, the sensor-surrounding model, the geography-dependent model, and the security risk model;
upon generating values, generating a risk analysis upon processing values of the comparative autonomous parameter, the mix model parameter, the surrounding risk parameter, the geographic operation parameter, and the security risk parameter with a rule-based algorithm; and
contemporaneously with execution of the identified driving mission, implementing a response action associated with control of the autonomous vehicle, based upon the risk analysis.
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Abstract
A method for adaptive risk modeling for an autonomous vehicle, the method comprising: retrieving parameters of an identified driving mission of the autonomous vehicle; in response to the parameters of the identified driving mission, generating values of: a comparative autonomous parameter, a mix model parameter, a surrounding risk parameter, a geographic operation parameter, and a security risk parameter upon evaluating situational inputs associated with the identified driving mission with a comparative autonomous model, a mix model, a sensor-surrounding model, a geography-dependent model, and a security risk model generated using sensor and supplementary data extraction systems associated with the autonomous vehicle; upon generating values, generating a risk analysis with a rule-based algorithm; and contemporaneously with execution of the identified driving mission, implementing a response action associated with control of the autonomous vehicle, based upon the risk analysis.
25 Citations
19 Claims
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1. A method for adaptive risk modeling for an autonomous vehicle, the method comprising:
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with sensor systems associated with the autonomous vehicle, generating; a comparative autonomous model that compares autonomous vehicle operation to human driving operation in a set of driving scenarios, a mix model characterizing operation of the autonomous vehicle in mixed-traffic driving scenarios, a sensor-surrounding model characterizing surroundings of the autonomous vehicle; with a supplementary data extraction system, generating; a geography-dependent model characterizing geographic location-specific acceptable driving behaviors; with a security diagnostic system associated with the autonomous vehicle, generating a security risk model characterizing security risks of the autonomous vehicle; in response to an identified driving mission of the autonomous vehicle, generating values of;
a comparative autonomous parameter, a mix model parameter, a surrounding risk parameter, a geographic operation parameter, and a security risk parameter upon evaluating situational inputs associated with the identified driving mission with the comparative autonomous model, the mix model, the sensor-surrounding model, the geography-dependent model, and the security risk model;upon generating values, generating a risk analysis upon processing values of the comparative autonomous parameter, the mix model parameter, the surrounding risk parameter, the geographic operation parameter, and the security risk parameter with a rule-based algorithm; and contemporaneously with execution of the identified driving mission, implementing a response action associated with control of the autonomous vehicle, based upon the risk analysis. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 17)
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9. A method for adaptive risk modeling for an autonomous vehicle, the method comprising:
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retrieving parameters of an identified driving mission of the autonomous vehicle; in response to the parameters of the identified driving mission, generating values of;
a comparative autonomous parameter, a mix model parameter, a surrounding risk parameter, a geographic operation parameter, and a security risk parameter upon evaluating situational inputs associated with the identified driving mission with a comparative autonomous model, a mix model, a sensor-surrounding model, a geography-dependent model, and a security risk model generated using sensor and supplementary data extraction systems associated with the autonomous vehicle;upon generating values, generating a risk analysis upon processing values of the comparative autonomous parameter, the mix model parameter, the surrounding risk parameter, the geographic operation parameter, and the security risk parameter with a rule-based algorithm; and contemporaneously with execution of the identified driving mission, implementing a response action associated with control of the autonomous vehicle, based upon the risk analysis. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 18, 19)
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Specification