Computer-Implemented Method for Training an Articial Intelligence Module to Determine a Tire Type of a Motor Vehicle: abstract simplified (18042262)

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  • This abstract for appeared for patent application number 18042262 Titled 'Computer-Implemented Method for Training an Articial Intelligence Module to Determine a Tire Type of a Motor Vehicle'

Simplified Explanation

This abstract describes a computer-based method for training an artificial intelligence module to determine the type of tire on a motor vehicle. The method involves using a dataset that includes ultrasound data, speed data, and tire data. The ultrasound data captures the sound waves produced by the rolling tire, the speed data records the vehicle's speed, and the tire data identifies the type of tire. The method then generates a modified training dataset by organizing the ultrasound and speed data as input and the tire data as output. Finally, the AI module is trained using this modified dataset.


Original Abstract Submitted

A computer-implemented method for training an artificial intelligence module to determine a tire type of a motor vehicle is disclosed. The method includes providing a measured value dataset on a data carrier, wherein the measured value dataset contains at least one data entry regarding ultrasound data, speed data and tire data, wherein the ultrasound data describe at least one ultrasonic wave that was produced by rolling of a tire of the motor vehicle, wherein the speed data describe a speed of the motor vehicle, wherein the tire data describe a tire type of the motor vehicle. The method further includes generating a modified training dataset based on the measured value dataset. Generating the modified training dataset includes (i) forming an input dataset based on the ultrasound data and the speed data of the measured value dataset, (ii) forming an output dataset based on the tire data of the measured value dataset, and (iii) training the AI module based on the modified training dataset.

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