Systems and methods for generating motion forecast data for actors with respect to an autonomous vehicle and training a machine learned model for the same
US11636307B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 12, 2020 |
| Grant date | Apr 25, 2023 |
| Priority date | — |
| Expiry date | Jul 11, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08G1/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for generating motion forecast data for actors with respect to an autonomous vehicle and training a machine learned model for the same are disclosed. The computing system can include an object detection model and a graph neural network including a plurality of nodes and a plurality of edges. The computing system can be configured to input sensor data into the object detection model; receive object detection data describing the location of the plurality of the actors relative to the autonomous vehicle as an output of the object detection model; input the object detection data into the graph neural network; iteratively update a plurality of node states respectively associated with the plurality of nodes; and receive, as an output of the graph neural network, the motion forecast data with respect to the plurality of actors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.