Abstract: The present disclosure is directed to systems and methods for detecting human intervention over a driving operation of a vehicle that can be operated in a semi-autonomous or an autonomous mode or at least partially in a manual mode. In any one or more aspects, the systems and methods can determine a time period or distance traveled by the vehicle during the intervention of the operation of the vehicle as compared to a time period or distance traveled by the vehicle when operating in the semi-autonomous or autonomous mode, which if desired can be used to determine risk for insurance underwriting of the vehicle.

Abstract: The present disclosure is directed to systems and methods for detecting human intervention over a driving operation of a vehicle that can be operated in a semi-autonomous or an autonomous mode or at least partially in a manual mode. In any one or more aspects, the systems and methods can determine a time period or distance traveled by the vehicle during the intervention of the operation of the vehicle as compared to a time period or distance traveled by the vehicle when operating in the semi-autonomous or autonomous mode, which if desired can be used to determine risk for insurance underwriting of the vehicle.

Abstract: Disclosed are various embodiments for a data aggregation application. Operational data and image data may be captured from a client device. Odometer readings can be extracted from the image data. The operational data and image data can be verified by comparing an instrument panel depicted in the image data to a known instrument panel depiction.

Abstract: Disclosed are various embodiments for a data aggregation application. Operational data and image data may be captured from a client device. Odometer readings can be extracted from the image data. The operational data and image data can be verified by comparing an instrument panel depicted in the image data to a known instrument panel depiction.

Abstract: Disclosed are various embodiments for a data aggregation application. Operational data and image data may be captured from a client device. Odometer readings can be extracted from the image data. The operational data and image data can be verified by comparing an instrument panel depicted in the image data to a known instrument panel depiction.

Abstract: Disclosed are various embodiments for a data aggregation application. Operational data and image data may be captured from a client device. Odometer readings can be extracted from the image data. The operational data and image data can be verified by comparing an instrument panel depicted in the image data to a known instrument panel depiction.

Abstract: Disclosed are various embodiments for a data aggregation application. Operational data and image data may be captured from a client device. Odometer readings can be extracted from the image data. The operational data and image data can be verified by comparing an instrument panel depicted in the image data to a known instrument panel depiction.

Abstract: Disclosed are various embodiments for a data aggregation application. Operational data and image data may be captured from a client device. Odometer readings can be extracted from the image data. The operational data and image data can be verified by comparing an instrument panel depicted in the image data to a known instrument panel depiction.

Abstract: Disclosed are various embodiments for a data aggregation application. Operational data and image data may be captured from a client device. Odometer readings can be extracted from the image data. The operational data and image data can be verified by comparing an instrument panel depicted in the image data to a known instrument panel depiction.

Abstract: Disclosed are various embodiments for a fingerprinting application. Data and optionally additional metadata for an operational automobile are captured by an application executed on a mobile device inside the automobile. An fingerprinting application matches the data to known data profiles to confirm the identity or type of the automobile. Diagnostics of the automobile can be determined by variations in the data with respect to a defined standard. The data can include one or more of audio data, accelerometer data, vibration, data and orientation data.

Abstract: Disclosed are various embodiments for a data aggregation application. Operational data and image data may be captured from a client device. Odometer readings can be extracted from the image data. The operational data and image data can be verified by comparing an instrument panel depicted in the image data to a known instrument panel depiction.