Active learning and validation system for vehicles
US11886195B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 30, 2020 |
| Grant date | Jan 30, 2024 |
| Priority date | — |
| Expiry date | Feb 1, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/40
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A method includes generating a parameter of a trajectory associated with a scenario using a path planner. The parameter is generated based on a training dataset. The method includes comparing the parameter of the trajectory against a validation parameter associated with a validation dataset. The validation parameter is based on human-based vehicle driving trajectory data associated with scenarios that satisfy a level of similarity with the scenario. The method further includes determining a level of similarity between the parameter associated with the scenario and the validation parameter associated with the scenarios, and, subsequent to determining that the level of similarity fails to satisfy a similarity threshold, the method concludes with providing training data associated with the scenario to the training dataset so that a subsequent parameter of a subsequent trajectory generated by the path planner and associated with the scenario satisfies the level of similarity against the validation parameter.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.