Machine-learned model training for pedestrian attribute and gesture detection
US11710352B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 14, 2021 |
| Grant date | Jul 25, 2023 |
| Priority date | — |
| Expiry date | Jun 4, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for detecting attributes and/or gestures associated with pedestrians in an environment are described herein. The techniques may include receiving sensor data associated with a pedestrian in an environment of a vehicle and inputting the sensor data into a machine-learned model that is configured to determine a gesture and/or an attribute of the pedestrian. Based on the input data, an output may be received from the machine-learned model that indicates the gesture and/or the attribute of the pedestrian and the vehicle may be controlled based at least in part on the gesture and/or the attribute of the pedestrian. The techniques may also include training the machine-learned model to detect the attribute and/or the gesture of the pedestrian.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.