Training machine learning model based on training instances with: training instance input based on autonomous vehicle sensor data, and training instance output based on additional vehicle sensor data
US10676085B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 29, 2018 |
| Grant date | Jun 9, 2020 |
| Priority date | — |
| Expiry date | Nov 14, 2038 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2754/00
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Various implementations described herein generate training instances that each include corresponding training instance input that is based on corresponding sensor data of a corresponding autonomous vehicle, and that include corresponding training instance output that is based on corresponding sensor data of a corresponding additional vehicle, where the corresponding additional vehicle is captured at least in part by the corresponding sensor data of the corresponding autonomous vehicle. Various implementations train a machine learning model based on such training instances. Once trained, the machine learning model can enable processing, using the machine learning model, of sensor data from a given autonomous vehicle to predict one or more properties of a given additional vehicle that is captured at least in part by the sensor data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.