Pedestrian crossing intent yielding
US12344273B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 2, 2022 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | May 18, 2043 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2554/4045
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that determine yield behavior for an autonomous vehicle, and can include identifying an agent that is in a vicinity of an autonomous vehicle navigating through a scene at a current time point. Scene features can be obtained and can include features of (i) the agent and (ii) the autonomous vehicle. An input that can include the scene features can be processed using a first machine learning model that is configured to generate (i) a crossing intent prediction that includes a crossing intent score that represents a likelihood that the agent intends to cross a roadway in a future time window after the current time, and (ii) a crossing action prediction that includes a crossing action score that represents a likelihood that the agent will cross the roadway in the future time window after the current time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.