FPSNET: An Architecture for Neural-Network-Based Feature Point Extraction for SLAM

FPSNET: An Architecture for Neural-Network-Based Feature Point Extraction for SLAM

The hardware architecture of a deep-neural-network-based feature point extraction method is proposed for the simultaneous localization and mapping (SLAM) in robotic applications, which is named the Feature Point based SLAM Network (FPSNET). Some key techniques are deployed to improve the hardware an...

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Bibliographic Details
Main Authors:	Fasih Ud Din Farrukh, Weiyi Zhang, Chun Zhang, Zhihua Wang, Hanjun Jiang
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Series:	Electronics
Subjects:	SLAM SuperPoint convolutional neural network ReLU ASIC
Online Access:	https://www.mdpi.com/2079-9292/11/24/4168

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