Object identification using radar data

US11789113B2 · kind B2 · utility

Assignee

• ZF FRIEDRICHSHAFEN AG · DE

Inventors

• Benjamin Sick · Bodolz, DE
• Michael Walter · Kornwestheim, DE

Key dates

• Filing date: Mar 12, 2019
• Grant date: Oct 17, 2023
• Expiry date: May 19, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30252
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

An evaluation device for obtaining a segmentation of an environment from a radar recording of the environment, that has an input interface configured to obtain initial training data, where the initial training data comprise radar data of the radar recording and initial characteristics of objects located in the environment recorded with a radar sensor that generates the radar recordings, and where the evaluation device is configured to forward propagate an artificial neural network with the initial training data to obtain second characteristics of the objects determined with the artificial neural network in the forward propagation, and to obtain weighting factors for neural connections of the artificial neural network through backward propagation of the artificial neural network with the differences between the second characteristics and the initial characteristics, in order to obtain the segmentation of the environment through renewed forward propagation with these radar data.