Method and system for ensemble vehicle control prediction in autonomous driving vehicles
US11130497B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 18, 2017 |
| Grant date | Sep 28, 2021 |
| Priority date | — |
| Expiry date | Jan 23, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/045
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
The present teaching relates to method, system, medium, and implementation of human-like vehicle control for an autonomous vehicle. Recorded human driving data are first received, which include vehicle state data, vehicle control data, and environment data. For each piece of recorded human driving data, a vehicle kinematic model based vehicle control signal is generated in accordance with a vehicle kinematic model based on a corresponding vehicle state and vehicle control data of the piece of recorded human driving data. A human-like vehicle control model is obtained, via machine learning, based on the recorded human driving data as well as the vehicle kinematic model based vehicle control signal generated based on vehicle kinematic model. Such derived human-like vehicle control model is to be used to generate a human-like vehicle control signal with respect to a target motion of an autonomous vehicle to achieve human-like vehicle control behavior.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.