System and method for generating simulated scenes from open map data for machine learning
US12307598B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 11, 2019 |
| Grant date | May 20, 2025 |
| Priority date | — |
| Expiry date | Oct 1, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for generating simulated scenes from open map data for machine learning are presented. The system includes an automatic scene generative pipeline that uses freely-available map information and random texture maps to create large-scale 3D urban scene layouts for supervised learning methods. The system generates synthetic datasets that have improved generalization capabilities with respect to a given target domain of interest using data from open maps and texture map from the same geographic locations. Data from the generation pipeline of the system improves a model's generalization to real image sets beyond arbitrarily-simulated sets or labeled real data from other geographical regions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.