Focusing prediction distribution output for efficient sampling
US12084087B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 24, 2021 |
| Grant date | Sep 10, 2024 |
| Priority date | — |
| Expiry date | Dec 8, 2041 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2556/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for determining unified futures of objects in an environment are discussed herein. Techniques may include determining a first feature associated with an object in an environment and a second feature associated with the environment and based on a position of the object in the environment, updating a graph neural network (GNN) to encode the first feature and second feature into a graph node representing the object and encode relative positions of additional objects in the environment into one or more edges attached to the node. The GNN may be decoded to determine a distribution of predicted positions for the object in the future that meet a criterion, allowing for more efficient sampling. A predicted position of the object in the future may be determined by sampling from the distribution.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.