Computer-implemented method and system for generating synthetic sensor data, and training method

US12392903B2 · kind B2 · utility

Assignee

• DSPACE GMBH · DE

Inventor

• Daniel HASENKLEVER · Paderborn, DE

Key dates

• Filing date: Mar 1, 2021
• Grant date: Aug 19, 2025
• Expiry date: May 30, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/08
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

A method generates synthetic sensor data corresponding to a LiDAR sensor of a vehicle, the synthetic sensor data including superimposed distance and intensity information. The method includes: providing a hierarchical variational autoencoder; conditioning a first feature vector and a second feature vector with a second data set, the second data set including distance and intensity information; combining the conditioned first feature vector and the conditioned second feature vector into a resulting third feature vector; and decoding the resulting third feature vector to generate a third data set of synthetic sensor data, the third data set including superimposed distance and intensity information.