Systems and methods for generating physically realistic trajectories
US12110042B1 · kind B1 · utility
5Cited by
3References
20Claims
0Family size
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Key dates
| Filing date | Oct 14, 2021 |
| Grant date | Oct 8, 2024 |
| Priority date | — |
| Expiry date | Sep 1, 2042 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2556/50
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
Example aspects of the present disclosure describe the generation of more realistic trajectories for a moving actor with a hybrid technique using an algorithmic trajectory shaper in a machine-learned trajectory prediction pipeline. In this manner, for example, systems and methods of the present disclosure leverage the predictive power of machine-learning approaches combined with a priori knowledge about physically realistic trajectories for a given actor as encoded in an algorithmic approach.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.