Machine learning for personalized driving
US10286915B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 17, 2017 |
| Grant date | May 14, 2019 |
| Priority date | — |
| Expiry date | Jan 17, 2037 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2556/10
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
An automated system for controlling a vehicle gathers a set of sensor information for a series of driving actions that comprises a driving path of an individual driver. A context is determined that is related to the set of sensor information for the series of driving actions that comprise the driving path of the individual driver. For example, the context may be a weather condition or when the driver merges into traffic. A personalization score is determined for the series of driving actions for the individual driver based on the context. A personalization score is determined for one or more other driving paths and a driving path with the highest personalization score is identified. The driving path with the highest personalization score is then chosen for automated driving.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.