Machine learning for event detection and classification in autonomous vehicles
US10520947B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 27, 2017 |
| Grant date | Dec 31, 2019 |
| Priority date | — |
| Expiry date | Aug 8, 2037 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2556/10
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
The present disclosure provides systems and methods for automatic event detection and classification for autonomous vehicles. One example method includes obtaining, by one or more computing devices, vehicle data descriptive of vehicle conditions associated with an autonomous vehicle during an autonomous driving session. The method includes extracting, by the one or more computing devices, a plurality of features from the vehicle data. The method includes determining, by the one or more computing devices using a machine-learned classifier, a classification for each of one or more candidate events based at least in part on one or more of the plurality of features that are respectively associated with the one or more candidate events. The method includes associating, by the one or more computing devices, the classification determined for each of the one or more candidate events with the vehicle data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.