Physical model and machine learning combined method to simulate autonomous vehicle movement
US10343685B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 28, 2016 |
| Grant date | Jul 9, 2019 |
| Priority date | — |
| Expiry date | Feb 5, 2037 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2720/20
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
In one embodiment, a driving scenario is identified for a next movement for an autonomous vehicle, where the driving scenario is represented by a set of one or more predetermined parameters. A first next movement is calculated for the autonomous vehicle using a physical model corresponding to the driving scenario. A sideslip predictive model is applied to the set of predetermined parameters to predict a sideslip of the autonomous vehicle under the driving scenario. A second next movement of the autonomous vehicle is determined based on the first next movement and the predicted sideslip of the autonomous vehicle. The predicted sideslip is utilized to modify the first next movement to compensate the sideslip. Planning and control data is generated for the second next movement and the autonomous vehicle is controlled and driven based on the planning and control data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.