Feedback-based control model generation for an autonomous vehicle
US10449958B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 15, 2017 |
| Grant date | Oct 22, 2019 |
| Priority date | — |
| Expiry date | Dec 29, 2037 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2556/45
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
A computer system receives data sets for a driving maneuver at a location, such as data regarding a state of a vehicle, an external environment indicated by external sensors, and user feedback regarding the driving maneuver. Data sets may be collected from users having various demographic and behavioral attributes. Users may be selected using design of experiment (DOE) algorithms to cover a wide range of possible combinations. A stochastic response surface model (SRSM) is generated that relates sensor data (vehicle state and environmental) to user feedback regarding safety and comfort. The SRSM may be generated using Gaussian process regression (GPR) in order to model uncertainty. The SRSM is then used to generate a control model using an optimization under uncertainty (OUU) algorithm.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.