Locating and/or classifying objects based on radar data, with improved reliability at different distances
US11269059B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 17, 2019 |
| Grant date | Mar 8, 2022 |
| Priority date | — |
| Expiry date | Jun 7, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S2013/93271
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A method is described for locating and/or classifying at least one object, a radar sensor that is used including at least one transmitter and at least one receiver for radar waves. The method includes: the signal recorded by the receiver is converted into a two- or multidimensional frequency representation; at least a portion of the two- or multidimensional frequency representation is supplied as an input to an artificial neural network, ANN that includes a sequence of layers with neurons, at least one layer of the ANN being additionally supplied with a piece of dimensioning information which characterizes the size and/or absolute position of objects detected in the portion of the two- or multidimensional frequency representation; the locating and/or the classification of the object is taken from the ANN as an output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.