Digital person training method and system, and digital person driving system
US12236635B1 · kind B1 · utility
Inventors
Key dates
| Filing date | Aug 19, 2024 |
| Grant date | Feb 25, 2025 |
| Priority date | — |
| Expiry date | Aug 19, 2044 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T10/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This application provides a digital person training method and system, and a digital person driving system. According to the method, human-body pose estimation data in training data is extracted, and the human-body pose estimation data is input into an optimized pose estimation network to obtain human-body pose optimization data. Generation losses of position optimization data and acceleration optimization data in the human-body pose optimization data are calculated based on a loss function of the optimized pose estimation network, so as to minimize errors between position estimation data and acceleration estimation data and a real value. In this way, the optimized pose estimation network is driven to update a network parameter to obtain an optimal driving model that is based on the optimized pose estimation network. The errors between the position estimation data and the acceleration estimation data and the real value are minimized.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.