Generating training data for deep learning models for building high definition maps
US12111177B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 2, 2020 |
| Grant date | Oct 8, 2024 |
| Priority date | — |
| Expiry date | Jun 4, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2219/004
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
According to an aspect of an embodiment, operations may comprise receiving sensor data from one or more vehicles, determining, by combining the received sensor data, a high definition map comprising a point cloud, and labeling one or more objects in the point cloud. The operations may also comprise generating training data by receiving a new image captured by one of the vehicles, receiving a pose of the vehicle when the new image was captured, determining an object having a label in the point cloud that is observable from the pose of the vehicle, determining a position of the object in the new image, and labeling the new image by assigning the label of the object to the new image, the labeled new image comprising the training data. The operations may also comprise training a deep learning model using the training data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.