Microvision, Inc.

Julia Nitsch

Christian Fellenberg

Jennifer Erdmann

Cornelia Hofsäss

Max Schmidt

Thorbjörn Posewsky

Cornelia HofsÄß

A method for classifying targets is proposed, which comprises the extraction of features from measurement data of one or several receiving elements of a sensor by means of a neuronal network or by means of a Gaussian Mixture Model, wherein the respective measurement data of the at least one receiving element of the sensor involve at least one section of a photon histogram, and wherein the neuronal network involves a fully connected neuronal network or a convolutional neuronal network.

Method and device for classifying targets

A method for classifying objects which comprises a provision of measuring data from a sensor for a feature extraction unit as well as extraction of modality-independent features from the measuring data by means of the feature extraction unit, wherein the modality-independent features are independent of a sensor modality of the sensor, so that a conclusion to the sensor modality of the sensor is not possible from the modality-independent features.

Method and device for classifying objects

Growing community of inventors

Hamburg, Germany

Julia Nitsch