Trajectory prediction on top-down scenes and associated model
US11195418B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 22, 2019 |
| Grant date | Dec 7, 2021 |
| Priority date | — |
| Expiry date | Jul 31, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30241
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are discussed for determining prediction probabilities of an object based on a top-down representation of an environment. Data representing objects in an environment can be captured. Aspects of the environment can be represented as map data. A multi-channel image representing a top-down view of object(s) in the environment can be generated based on the data representing the objects and map data. The multi-channel image can be used to train a machine learned model by minimizing an error between predictions from the machine learned model and a captured trajectory associated with the object. Once trained, the machine learned model can be used to generate prediction probabilities of objects in an environment, and the vehicle can be controlled based on such prediction probabilities.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.