Generating data using radar observation model based on machine learning
US10976410B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 26, 2020 |
| Grant date | Apr 13, 2021 |
| Priority date | — |
| Expiry date | Jun 26, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/12
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A method includes obtaining a first track associated with a first time. A first track associated with a first time is obtained. First predicted state data associated with a second time that is later than the first time, are generated based on the first track. Radar measurement data associated with the second time are obtained from one or more radar sensors. Track data are generated by a machine learning model based on the first predicted state data and the radar measurement data. Second predicted state data associated with the second time are generated based on the first track. A second track associated with the second time is generated based on the track data and the second predicted state data. The second track associated with the second time is provided to an autonomous vehicle control system for autonomous control of a vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.