Automatic feature extraction from imagery
US11657072B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 16, 2019 |
| Grant date | May 23, 2023 |
| Priority date | — |
| Expiry date | Oct 23, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S17/931
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An apparatus, or corresponding method, for building or updating a map database is described. In one example, the apparatus includes an image correlation module, a training device, and a learned model or neural network. The image correlation module is configured to correlate a first aerial image and terrestrial sensor data collected at a terrestrial vehicle based on at least one control point from the terrestrial data. The learned model training device is configured to define a learned model based using at least one control point from the terrestrial sensor data as ground truth for analysis of the first aerial image. The learned model inference module is configured to receive a second aerial image and apply the learned model on the second aerial image for identification of mapping information for the map data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.