Multi-agent trajectory prediction
US11816901B2 · kind B2 · utility
2Cited by
1References
6Claims
0Family size
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Key dates
| Filing date | Feb 26, 2021 |
| Grant date | Nov 14, 2023 |
| Priority date | — |
| Expiry date | Dec 10, 2041 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2554/4045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for training a trajectory prediction model and performing a vehicle maneuver include encoding a set of training data to generate encoded training vectors, where the training data includes trajectory information for agents over time. Trajectory scenarios are simulated based on the encoded training vectors, with each simulated trajectory scenario representing one or more agents with respective agent trajectories, to generate simulated training data. A predictive neural network model is trained using the simulated training data to generate predicted trajectory scenarios based on a detected scene.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.