Patent · US Active

System and method for generating simulated scenes from open map data for machine learning

US12307598B2 · kind B2 · utility

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1References
25Claims
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Key dates

Filing dateJun 11, 2019
Grant dateMay 20, 2025
Priority date
Expiry dateOct 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.

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