System and method for generating realistic simulation data for training an autonomous driver
US11270165B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 15, 2019 |
| Grant date | Mar 8, 2022 |
| Priority date | — |
| Expiry date | Oct 15, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30168
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for training a model for generating simulation data for training an autonomous driving agent, comprising: analyzing real data, collected from a driving environment, to identify a plurality of environment classes, a plurality of moving agent classes, and a plurality of movement pattern classes; generating a training environment, according to one environment class; and in at least one training iteration: generating, by a simulation generation model, a simulated driving environment according to the training environment and according to a plurality of generated training agents, each associated with one of the plurality of agent classes and one of the plurality of movement pattern classes; collecting simulated driving data from the simulated environment; and modifying at least one model parameter of the simulation generation model to minimize a difference between a simulation statistical fingerprint, computed using the simulated driving data, and a real statistical fingerprint, computed using the real data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.