Trajectory prediction method and device
US12333784B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 7, 2021 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | Apr 17, 2044 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB62D15/025
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided are a trajectory prediction method and device, a storage medium, and a computer program to avoid low accuracy and low reliability of a prediction result in conventional trajectory prediction methods. A trajectory prediction neural network acquires input current trajectory data and current map data of current environment when a moving subject moves in the current environment. The current trajectory data and the current map data are expressed as a current trajectory point set and a current map point set in a high-dimensional space. A global scene feature is extracted according to the current trajectory point set and the current map point set. The global scene feature has a trajectory feature and a map feature of the current environment. Multiple prediction trajectory point sets of the moving subject and a probability corresponding to each prediction trajectory point set are predicted and output according to the global scene feature.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.