Generating simulated sensor data for training and validation of detection models
US10228693B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 13, 2017 |
| Grant date | Mar 12, 2019 |
| Priority date | — |
| Expiry date | Feb 24, 2037 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T90/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A scenario is defined that including models of vehicles and a typical driving environment. A model of a subject vehicle is added to the scenario and sensor locations are defined on the subject vehicle. Perception of the scenario by sensors at the sensor locations is simulated to obtain simulated sensor outputs. The simulated sensor outputs are annotated to indicate the location of obstacles in the scenario. The annotated sensor outputs may then be used to validate a statistical model or to train a machine learning model. The simulates sensor outputs may be modeled with sufficient detail to include sensor noise or may include artificially added noise to simulate real world conditions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.