Patent · US Active

Neural network for classifying obstructions in an optical sensor

US12205340B2 · kind B2 · utility

0Cited by

0References

12Claims

0Family size

Assignee

Robert Bosch GmbH · DE

Inventors

Marcus Schmitt · London, GB
Magnus Ernst Daum · Offenbach, DE
Sebastian Johann Hermann Konopka · Stuttgart, DE
Thomas Hellmuth · Danville, US
Ulrich Stopper · Gerlingen, DE

Key dates

Filing date	Jul 7, 2022
Grant date	Jan 21, 2025
Priority date	—
Expiry date	Jul 31, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG06V20/56
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A neural network configured for classifying whether an image from an optical sensor characterizes an obstruction of the optical sensor or not. The classification is characterized by an output of the neural network for an input of the neural network and wherein the input is based on the image. The neural network comprises a first convolutional layer that characterizes a 1D-convolution along a vertical axis of a convolution output of a preceding convolutional layer and a second convolutional layer that characterizes a 1D-convolution along a horizontal axis of the convolution output. The output of the neural network is based on a first convolution output of the first convolutional layer and based on a second convolution output of the second convolutional layer.

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