System and method for generating large simulation data sets for testing an autonomous driver
US10460208B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 2, 2019 |
| Grant date | Oct 29, 2019 |
| Priority date | — |
| Expiry date | Jan 2, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/56
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for creating synthetic data for testing an autonomous system, comprising at least one hardware processor adapted to execute a code for: producing a plurality of synthetic training signals, each simulating one of a plurality of signals simultaneously captured from a common training scene by a plurality of sensors, and a plurality of training depth maps each qualifying one of the plurality of synthetic training signals according to the common training scene; training a machine learning model based on the plurality of synthetic training signals and the plurality of training depth maps; using the machine learning model to compute a plurality of computed depth maps based on a plurality of real signals, the plurality of real signals are captured simultaneously from a common physical scene, each of the plurality of real signals are captured by one of the plurality of sensors, each of the plurality of computed depth maps.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.