Vehicle sensor data acquisition
AssigneeFord Global Technologies, LLC
InventorsDavid Michael Herman, Shaheer Zafar
Life of this patent
Estimating the term…
Abstract
A system is disclosed that includes a computer that includes a processor and a memory, the memory including instructions executable by the processor to acquire real world sensor data from a mobile platform for a first time period. The real world sensor data from the mobile platform can be input to a first neural network to predict sensor data of the mobile platform for a second time period that is prior to the first time period. The predicted sensor data and the real world sensor data can be input to a simulation of the mobile platform; wherein the simulation outputs predicted real world operation of the mobile platform based on the predicted sensor data for the second time period and the real world sensor data for the first time period.
Claims20
A system, comprising:
- a computer that includes a processor and a memory, the memory including instructions executable by the processor to:
- acquire real world sensor data from a mobile platform for a first time period;
- input the real world sensor data from the mobile platform to a first neural network to predict sensor data of the mobile platform for a second time period that is prior to the first time period wherein the predicted sensor data from the second time period is generated by the first neural network and wherein the real world sensor data acquired from the mobile platform is limited to the first time period;
- and;
- input the predicted sensor data and the real world sensor data to a simulation of the mobile platform;
- wherein the simulation outputs predicted real world operation of the mobile platform based on the predicted sensor data for the second time period and the real world sensor data for the first time period.
A method, comprising:
- acquiring real world sensor data from a mobile platform for a first time period;
- inputting the real world sensor data from the mobile platform to a first neural network to predict sensor data of the mobile platform for a second time period that is prior to the first time period wherein the predicted sensor data from the second time period is generated by the first neural network and wherein the real world sensor data acquired from the mobile platform is limited to the first time period;
- and;
- inputting the predicted sensor data and the real world sensor data to a simulation of the mobile platform;
- wherein the simulation outputs predicted real world operation of the mobile platform based on the predicted sensor data for the second time period and the real world sensor data for the first time period.
Dependencies are inferred from the claim text.