Transferring synthetic lidar system data to real world domain for autonomous vehicle training applications
US11734935B2 · kind B2 · utility
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3References
19Claims
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Key dates
| Filing date | May 7, 2021 |
| Grant date | Aug 22, 2023 |
| Priority date | — |
| Expiry date | Dec 4, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are disclosed for correlating synthetic LiDAR data to a real-world domain for use in training an model for use by autonomous vehicle when operating in an environment. To do this, the system will obtain a data set of synthetic LiDAR data, along with images of a real-world environment. The system will transfer the synthetic LiDAR data to a two-dimensional representation, use the two-dimensional representation and the images to train a model that a vehicle can use to operate in a real-world environment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.