Training a machine learning based model of a vehicle perception component based on sensor settings
US10514462B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 31, 2018 |
| Grant date | Dec 24, 2019 |
| Priority date | — |
| Expiry date | Oct 31, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/59
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for configuring a perception component of a vehicle having one or more sensors includes generating a first set of training data that includes first sensor data corresponding to a first setting of one or more sensor parameters, and an indicator of the first setting. The method also includes generating a second set of training data that includes second sensor data corresponding to a second setting of the sensor parameter(s), and an indicator of the second setting. The method further includes training the perception component, at least by training a machine learning based model using the first and second training data sets. The trained perception component is configured to generate signals descriptive of a current state of the vehicle environment by processing sensor data generated by the sensor(s), and one or more indicators indicating which setting of the sensor parameter(s) corresponds to which portions of the generated sensor data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.