Transferring synthetic LiDAR system data to real world domain for autonomous vehicle training applications
US11016496B2 · kind B2 · utility
5Cited by
2References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Apr 10, 2019 |
| Grant date | May 25, 2021 |
| Priority date | — |
| Expiry date | Oct 14, 2039 |
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 autonomous vehicle in how to operate in an environment. To do this, the system will obtain a data set of synthetic LiDAR data, transfer the synthetic LiDAR data to a two-dimensional representation, use the two-dimensional representation to train a model of a real-world environment, and use the trained model of the real-world environment to train an autonomous vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.