Generating trajectory labels from short-term intention and long-term result
US11900224B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 26, 2019 |
| Grant date | Feb 13, 2024 |
| Priority date | — |
| Expiry date | Oct 7, 2042 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2554/40
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating training data for training a machine learning model to perform trajectory prediction. One of the methods includes: obtaining a training input, the training input including (i) data characterizing an agent in an environment as of a first time and (ii) data characterizing a candidate trajectory of the agent in the environment for a first time period that is after the first time. A long-term label for the candidate trajectory that indicates whether the agent actually followed the candidate trajectory for the first time period is determined. A short-term label for the candidate trajectory that indicates whether the agent intended to follow the candidate trajectory is determined. A ground-truth probability for the candidate trajectory is determined. The training input is associated with the ground-truth probability for the candidate trajectory in the training data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.