Automated training data extraction method for dynamic models for autonomous driving vehicles
US11704554B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 6, 2019 |
| Grant date | Jul 18, 2023 |
| Priority date | — |
| Expiry date | Sep 3, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a method of training dynamic models for autonomous driving vehicles includes the operations of receiving a first set of training data from a training data source, the first set of training data representing driving statistics for a first set of features; training a dynamic model based on the first set of training data for the first set of features; determining a second set of features as a subset of the first set of features based on evaluating the dynamic model, each of the second set of features representing a feature whose performance score is below a predetermined threshold. The method further includes the following operations for each of the second set of features: retrieving a second set of training data associated with the corresponding feature of the second set of features, and retraining the dynamic model using the second set of training data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.