System und Verfahren für ein Sensorfusionssystem mit Verteiltem Faltungsneuronalem Netzwerk

Details

Veröffentlichungs-Nr.

EP3929807

Aktenzeichen

EP21178070

Anmeldetag

7. Juni 2021

Veröffentlichung

21. Januar 2026

Erteilung

21. Januar 2026

Rechtsraum

EP

IPC

G06V20/56G06V10/94G06V10/82G06V10/80G06V10/40G06F18/25

Abstract

An early fusion network is provided that reduces network load and enables easier design of specialized ASIC edge processors through performing a portion of convolutional neural network layers at distributed edge and data-network processors prior to transmitting data to a centralized processor for fully-connected/deconvolutional neural networking processing. Embodiments can provide convolution and downsampling layer processing in association with the digital signal processors associated with edge sensors. Once the raw data is reduced to smaller feature maps through the convolution-downsampling process, this reduced data is transmitted to a central processor for further processing such as regression, classification, and segmentation, along with feature combination of the data from the sensors. In some embodiments, feature combination can be distributed to gateway or switch nodes closer to the edge sensors, thereby further reducing the data transferred to the central node and reducing the amount of computation performed there.

Anmelder

Firma

NXP USA, Inc.

Land

🇺🇸 USA

Fachgebiete