Generative adversarial network enriched driving simulation
US10768629B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 24, 2018 |
| Grant date | Sep 8, 2020 |
| Priority date | — |
| Expiry date | Nov 23, 2038 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2050/0088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method and a system for training a computer-based autonomous driving model used for an autonomous driving operation by an autonomous vehicle are described. The method includes: creating time-dependent three-dimensional (3D) traffic environment data using at least one of real traffic element data and simulated traffic element data; creating simulated time-dependent 3D traffic environmental data by applying a time-dependent 3D generic adversarial network (GAN) model to the created time-dependent 3D traffic environment data; and training a computer-based autonomous driving model using the simulated time-dependent 3D traffic environmental data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.