Patent · US Active

Method, artificial neural network, device, computer program, and machine-readable memory medium for the semantic segmentation of image data

US11908142B2 · kind B2 · utility

0Cited by

1References

11Claims

0Family size

Assignee

Robert Bosch GmbH · DE

Inventors

Ferran Diego Andilla · Barcelona, ES
Dimitrios Bariamis · Hildesheim, DE
Masato Takami · Uji, JP
Uwe Brosch · Hohenhameln, DE

Key dates

Filing date	Sep 26, 2019
Grant date	Feb 20, 2024
Priority date	—
Expiry date	Aug 8, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/20084
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method for the computing and memory resource-conserving semantic segmentation of image data of an imaging sensor with the aid of an artificial neural network, in particular, a convolutional neural network, the artificial neural network including an encoder path and a decoder path. The method includes: dividing an input tensor into at least one first slice tensor and at least one second slice tensor as a function of a division function, the input tensor being dependent on the image data; outputting the at least one first slice tensor to the decoder path of the neural network; connecting the at least one first slice tensor to the at least one second slice tensor as a function of a connecting function to obtain an output tensor; and outputting the output tensor to the encoder path of the artificial neural network.

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