Probabilistic prediction of dynamic object behavior for autonomous vehicles
US11521396B1 · kind B1 · utility
24Cited by
1References
20Claims
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Key dates
| Filing date | Jan 30, 2020 |
| Grant date | Dec 6, 2022 |
| Priority date | — |
| Expiry date | Jan 27, 2041 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2556/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are described that probabilistically predict dynamic object behavior. In particular, in contrast to existing systems which attempt to predict object trajectories directly (e.g., directly predict a specific sequence of well-defined states), a probabilistic approach is instead leveraged that predicts discrete probability distributions over object state at each of a plurality of time steps. In one example, systems and methods predict future states of dynamic objects (e.g., pedestrians) such that an autonomous vehicle can plan safer actions/movement.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.