Neural networks with attention al bottlenecks for trajectory planning
US11565715B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 14, 2020 |
| Grant date | Jan 31, 2023 |
| Priority date | — |
| Expiry date | Oct 11, 2040 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2555/60
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for planning a trajectory of a vehicle. One of the methods includes obtaining input data for planning a driving trajectory for a vehicle, the input data comprising an intended route for the vehicle and data characterizing an environment in a vicinity of the vehicle; processing the input data using an input encoder neural network to generate feature data that includes a respective feature representation for each of a plurality of locations in the environment; applying spatial attention to the feature representations to generate a respective attention weight for each of the plurality of locations; generating a respective attended feature representation for each of the plurality of locations; generating a bottlenecked representation of the attended feature representations; and generating a planned future trajectory from at least the bottlenecked representation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.