Verfahren und Vorrichtung zur Erkennung von Objekten

Details

Veröffentlichungs-Nr.

EP3985411

Aktenzeichen

EP20202567

Anmeldetag

19. Oktober 2020

Veröffentlichung

19. März 2025

Erteilung

19. März 2025

Rechtsraum

EP

IPC

G01S7/41G01S13/931G06N3/04G06N3/08G06V20/58// G01S13/72

Abstract

A method is provided for detecting objects by using a radar sensor and by using a device configured to establish a neural network. A plurality of raw radar data points is captured. At least one object class is defined comprising a predefined object type and a geometrical shape for enclosing an object. Via a first stage of the neural network, a semantic segmentation is performed for the data points regarding the object class and background, and for each data point, a rough approximation is estimated for a spatial condition of the geometrical shape. Based on this rough approximation and via a second stage of the neural network, a subset of the data points is selected based on the semantic segmentation, and for each data point of the subset, a refined approximation for the spatial condition of the geometrical shape and a confidence score for the refined approximation are estimated.

Anmelder

Firmen

Aptiv Technologies AG
Aptiv Technologies Limited

Land

🇨🇭 Schweiz

Fachgebiete