Regression-based line detection for autonomous driving machines
US11604944B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 17, 2019 |
| Grant date | Mar 14, 2023 |
| Priority date | — |
| Expiry date | Dec 19, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/588
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In various examples, systems and methods are disclosed that preserve rich spatial information from an input resolution of a machine learning model to regress on lines in an input image. The machine learning model may be trained to predict, in deployment, distances for each pixel of the input image at an input resolution to a line pixel determined to correspond to a line in the input image. The machine learning model may further be trained to predict angles and label classes of the line. An embedding algorithm may be used to train the machine learning model to predict clusters of line pixels that each correspond to a respective line in the input image. In deployment, the predictions of the machine learning model may be used as an aid for understanding the surrounding environment—e.g., for updating a world model—in a variety of autonomous machine applications.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.