Invention Grant
- Patent Title: Locating and/or classifying objects based on radar data, with improved reliability at different distances
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Application No.: US16716703Application Date: 2019-12-17
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Publication No.: US11269059B2Publication Date: 2022-03-08
- Inventor: Kanil Patel , Kilian Rambach , Michael Pfeiffer
- Applicant: Robert Bosch GmbH
- Applicant Address: DE Stuttgart
- Assignee: Robert Bosch GmbH
- Current Assignee: Robert Bosch GmbH
- Current Assignee Address: DE Stuttgart
- Agency: Norton Rose Fulbright US LLP
- Agent Gerard Messina
- Priority: DE102018222800.0 20181221
- Main IPC: G01S7/41
- IPC: G01S7/41 ; G01S13/72 ; G01S13/931 ; G01S13/00

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.
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