Radar clustering using machine learning
US12379468B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 13, 2022 |
| Grant date | Aug 5, 2025 |
| Priority date | — |
| Expiry date | Sep 6, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/582
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A processor-implemented method for radar-based tracking of an object includes transmitting radio frequency (RF) signals. In response to the transmitted RF signals, one or more return RF signals are received. Features of the one or more return RF signals are extracted. A graph comprising multiple nodes is generated. Each node of the graph corresponds to the one or more return RF signals and indicates a potential target object detection. An existence of a plurality of edges is determined. Each edge connects a pair of nodes in the graph based on features of the return RF signals. The existence of each edge indicates that the pair of nodes connected correspond to a same target object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.