Unüberwachtes Lernen von Metrikdarstellungen aus Langsamen Merkmalen

Details

Veröffentlichungs-Nr.

EP3534235

Aktenzeichen

EP18180852

Anmeldetag

29. Juni 2018

Veröffentlichung

14. April 2021

Erteilung

14. April 2021

Rechtsraum

EP

IPC

G05D1/02

Abstract

A method of unsupervised learning of a metric representation and a corresponding system for a mobile device are proposed. The method determines a metric position information for a mobile device from an environmental representation. The mobile device comprises at least one sensor for acquiring sensor data and an odometer system configured to acquire displacement data of the mobile device. The method comprises a step of generating an environmental representation based on the acquired sensor data by applying an unsupervised learning algorithm. The mobile device moves along a trajectory and the displacement data and the sensor data are acquired while the mobile device is moving along the trajectory. In a step of calculating a set of mapping parameters, the set of mapping parameters is calculated based on the environmental representation and the displacement data. In a step of determining the metric position estimation, the metric position estimation is determined based on a further environmental representation and the calculated set of mapping parameters.

Anmelder

Firma

Honda Research Institute Europe GmbH

Land

🇩🇪 Deutschland

Fachgebiete