Self-learning vehicle performance optimization
US11535274B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 26, 2020 |
| Grant date | Dec 27, 2022 |
| Priority date | — |
| Expiry date | Jun 8, 2040 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2556/50
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Provided herein is a system of a vehicle that comprises one or more sensors, one or more processors, and memory storing instructions that, when executed by the one or more processors, causes the system to perform: selecting a trajectory along a route of the vehicle; predicting a trajectory of another object along the route; adjusting the selected trajectory based on a predicted change, in response to adjusting the selected trajectory, to the predicted trajectory of the another object, the predicted change to the predicted trajectory of the another object being stored in a model; determining an actual change, in response to adjusting the selected trajectory, to a trajectory of the another object, in response to an interaction between the vehicle and the another object; updating the model based on the determined actual change to the trajectory of the another object; and selecting a future trajectory based on the updated model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.