Future object trajectory predictions for autonomous machine applications
US11514293B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 9, 2019 |
| Grant date | Nov 29, 2022 |
| Priority date | — |
| Expiry date | Aug 8, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In various examples, historical trajectory information of objects in an environment may be tracked by an ego-vehicle and encoded into a state feature. The encoded state features for each of the objects observed by the ego-vehicle may be used—e.g., by a bi-directional long short-term memory (LSTM) network—to encode a spatial feature. The encoded spatial feature and the encoded state feature for an object may be used to predict lateral and/or longitudinal maneuvers for the object, and the combination of this information may be used to determine future locations of the object. The future locations may be used by the ego-vehicle to determine a path through the environment, or may be used by a simulation system to control virtual objects—according to trajectories determined from the future locations—through a simulation environment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.