System and method for training a machine learning model deployed on a simulation platform
US11328219B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 12, 2018 |
| Grant date | May 10, 2022 |
| Priority date | — |
| Expiry date | Mar 16, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG07C5/085
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
System and method for training a machine learning model are disclosed. In one embodiment, for each of the driving scenarios, responsive to sensor data from one or more sensors of a vehicle and the driving scenario, driving statistics and environment data of the vehicle are collected while the vehicle is driven by a human driver in accordance with the driving scenario. Upon completion of the driving scenario, the driver is requested to select a label for the completed driving scenario and the selected label is stored responsive to the driver selection. Features are extracted from the driving statistics and the environment data based on predetermined criteria. The extracted features include some of the driving statistics and some of the environment data collected at the different points in time during the driving scenario.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.