One embodiment of the present invention discloses a process of providing a report predicting potential risks relating to an operator driving a vehicle using information obtained from various interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud network. After activating interior and exterior sensors mounted on a vehicle operated by a driver for obtaining data relating to external surroundings and internal environment, the data is forwarded to VOC for generating a current fingerprint associated with the driver. The current fingerprint represents current driving status in accordance with the collected real-time data. Upon uploading the current fingerprint to the cloud via a communications network, a historical fingerprint which represents historical driving information associated with the driver is retrieved. In one aspect, the process is capable of generating a driving analysis report which predicts potential risks associated with the driver according to the current and historical fingerprints.

Present embodiments relate to utilities, for non-limiting example, water, fuel, power, or remaining waste capacity system for use with a recreational vehicle (RV). More specifically, but without limitation, present embodiments relate to a predictive analysis system for use with the utilities systems of an RV.

Present embodiments relate to utilities, for non-limiting example, water, fuel, power, or remaining waste capacity system for use with a recreational vehicle (RV). More specifically, but without limitation, present embodiments relate to a predictive analysis system for use with the utilities systems of an RV.

The deterioration notification system includes a history storage unit that stores respective histories of the amount of solar radiation to the vehicle and the outside air temperature of the vehicle, an arithmetic processing unit that performs deterioration determination of the instrument panel based on the respective histories of the amount of solar radiation and the outside air temperature, and a notification unit that notifies the user of the replacement of the instrument panel. The arithmetic processing unit includes an estimation unit that estimates a temperature history of the instrument panel based on each history of the solar radiation amount and the outside air temperature, a calculation unit that calculates a total heat load amount received by the instrument panel based on the temperature history, and a determination unit that determines whether or not the instrument panel is deteriorated based on the total heat load amount.

The deterioration notification system includes a history storage unit that stores respective histories of the amount of solar radiation to the vehicle and the outside air temperature of the vehicle, an arithmetic processing unit that performs deterioration determination of the instrument panel based on the respective histories of the amount of solar radiation and the outside air temperature, and a notification unit that notifies the user of the replacement of the instrument panel. The arithmetic processing unit includes an estimation unit that estimates a temperature history of the instrument panel based on each history of the solar radiation amount and the outside air temperature, a calculation unit that calculates a total heat load amount received by the instrument panel based on the temperature history, and a determination unit that determines whether or not the instrument panel is deteriorated based on the total heat load amount.

A computer-implemented method of aircraft tire maintenance is disclosed including the steps of receiving data of a plurality of pressure and temperature measurements, each of the plurality of pressure and temperature measurements having an associated time stamp; determining stable points in the plurality of pressure and temperature measurements; and using the stable points for determining tire maintenance. A computer readable medium with instructions to implement the method and a processing system to implement the method are also disclosed.

A computer-implemented method of aircraft tire maintenance is disclosed including the steps of receiving data of a plurality of pressure and temperature measurements, each of the plurality of pressure and temperature measurements having an associated time stamp; determining stable points in the plurality of pressure and temperature measurements; and using the stable points for determining tire maintenance. A computer readable medium with instructions to implement the method and a processing system to implement the method are also disclosed.

The invention relates to a method for checking an AI-based information processing system used in the partially automated or fully automated control of a vehicle, wherein at least one sensor of the vehicle provides sensor data, the captured sensor data are evaluated by an AI-based information processing system arranged in a first control circuit of the vehicle and, from the evaluated sensor data, at least one output for controlling the vehicle is generated. The AI-based information processing system is checked by a testing circuit arranged in a second control circuit of the vehicle using at least one testing method, and wherein a test result of the at least one testing method is stored, with a reference to the tested AI-based information processing system and to the at least one testing method used, in a multi-dimensional data structure in a database arranged in the vehicle.

The invention relates to a method for checking an AI-based information processing system used in the partially automated or fully automated control of a vehicle, wherein at least one sensor of the vehicle provides sensor data, the captured sensor data are evaluated by an AI-based information processing system arranged in a first control circuit of the vehicle and, from the evaluated sensor data, at least one output for controlling the vehicle is generated. The AI-based information processing system is checked by a testing circuit arranged in a second control circuit of the vehicle using at least one testing method, and wherein a test result of the at least one testing method is stored, with a reference to the tested AI-based information processing system and to the at least one testing method used, in a multi-dimensional data structure in a database arranged in the vehicle.

A computer-implemented method, for associating a user with a device type of a battery powered technical device having a device battery and belonging to a plurality of various device types. In one example, the method includes providing a usage behavior of the user; associating a usage category with the user's usage behavior; determining a predicted usage parameter profile of at least one usage parameter according to the usage category, wherein the at least one usage parameter is indicative of a mode of operation of the technical device affecting a load on the device battery; simulating a predicted ageing state profile for the predicted usage parameter profile for a predetermined duration for each type of device belonging to a plurality of device types to determine a predicted ageing state at a predetermined end of a useful life period; and selecting a device type depending on the predicted ageing state.