Patent · US Active

Setting radar parameters for generating point clouds based upon raw radar data

US12399273B2 · kind B2 · utility

0Cited by

2References

20Claims

0Family size

Assignee

GM Cruise Holdings LLC · US

Inventors

Georg Kuschk · Garmisch-Partenkirchen, DE
Marc Unzueta Canals · Munich, DE
Michael Meyer · Indianapolis, US
Sven Möller · Munich, DE

Key dates

Filing date	Aug 31, 2022
Grant date	Aug 26, 2025
Priority date	—
Expiry date	Sep 5, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG01S7/417
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

Technologies described herein relate to learning parameter values of a preprocessing algorithm that is executed in a radar system. The preprocessing algorithm is configured to receive raw radar data as input and is further configured to generate three-dimensional point clouds as output, where the preprocessing algorithm generates the three-dimensional point clouds based upon the raw radar data and the parameter values that are assigned to the preprocessing algorithm. To learn the parameter values, the preprocessing algorithm is converted to auto-differentiated form and is added as an input network layer to a deep neural network (DNN) that is configured to identify objects represented in three-dimensional point clouds. The parameter values are learned jointly with weight matrices of the DNN.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.