Determining yaw with learned motion model
US11906967B1 · kind B1 · utility
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Key dates
| Filing date | Mar 31, 2020 |
| Grant date | Feb 20, 2024 |
| Priority date | — |
| Expiry date | Feb 7, 2042 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB62D6/005
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
Techniques to use a trained model to determine a yaw of an object are described. For example, a system may implement various techniques to generate multiple representations for an object in an environment. Each representation vary based on the technique and data used. An estimation component may estimate a representation from the multiple representations. The model may be implemented to output a yaw for the object using the multiple representations, the estimated representation, and/or additional information. The output yaw may be used to track an object, generate a trajectory, or otherwise control a vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.