Neural network based vehicle dynamics model
US11550329B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 13, 2021 |
| Grant date | Jan 10, 2023 |
| Priority date | — |
| Expiry date | Jul 17, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A system and method for implementing a neural network based vehicle dynamics model are disclosed. A particular embodiment includes: training a machine learning system with a training dataset corresponding to a desired autonomous vehicle simulation environment; receiving vehicle control command data and vehicle status data, the vehicle control command data not including vehicle component types or characteristics of a specific vehicle; by use of the trained machine learning system, the vehicle control command data, and vehicle status data, generating simulated vehicle dynamics data including predicted vehicle acceleration data; providing the simulated vehicle dynamics data to an autonomous vehicle simulation system implementing the autonomous vehicle simulation environment; and using data produced by the autonomous vehicle simulation system to modify the vehicle status data for a subsequent iteration.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.