Landmark detection using curve fitting for autonomous driving applications
US12373689B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 27, 2023 |
| Grant date | Jul 29, 2025 |
| Priority date | — |
| Expiry date | Aug 11, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/471
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In various examples, one or more deep neural networks (DNNs) are executed to regress on control points of a curve, and the control points may be used to perform a curve fitting operation—e.g., Bezier curve fitting—to identify landmark locations and geometries in an environment. The outputs of the DNN(s) may thus indicate the two-dimensional (2D) image-space and/or three-dimensional (3D) world-space control point locations, and post-processing techniques—such as clustering and temporal smoothing—may be executed to determine landmark locations and poses with precision and in real-time. As a result, reconstructed curves corresponding to the landmarks—e.g., lane line, road boundary line, crosswalk, pole, text, etc.—may be used by a vehicle to perform one or more operations for navigating an environment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.