Efficiency improvement for machine learning of vehicle control using traffic state estimation
US11279361B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 3, 2019 |
| Grant date | Mar 22, 2022 |
| Priority date | — |
| Expiry date | Apr 22, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of improving efficiency of a vehicle behavior controller using a traffic state estimation network is described. The method includes feeding an input of a feature extraction network of the vehicle behavior controller with a sequence of images. The sequence of images include a highway section and corresponding traffic data. The method also includes disentangling an estimated behavior of a controlled ego vehicle. by the traffic state estimation network. The traffic state estimate network disentangles the estimated of the controlled ego vehicle from extracted traffic state features of the input provided by the feature extraction network. The method further includes selecting an action to adjust an autonomous behavior of the controlled ego vehicle according to the estimated behavior of the controlled ego vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.