Young Researcher Paper Award 2023
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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 35, Number 7(4) (2023)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 2549-2566
S&M3340 Technical Paper of Special Issue (A) https://doi.org/10.18494/SAM4295 Published: July 31, 2023 Construction and Development of Visual Simultaneous Localization and Mapping System for Multi-person Dynamic Spaces [PDF] Neng-Sheng Pai, Xi-Zhi Huang, Pi-Yun Chen, Zi-Heng Zhong, and Wei-Zhe Huang (Received December 28, 2022; Accepted June 28, 2023) Keywords: edge computing, vision system, simultaneous localization and mapping, semantic segmentation
In this study, we developed a visual simultaneous localization and mapping (SLAM) dynamic object filtering system applicable to multi-person dynamic spaces. When a visual mobile vehicle with an edge computing platform is used in the dynamic living space, the visual SLAM system will likely be disturbed by dynamic persons, leading to poor mapping and localization. We also implemented the dynamic object filtering function by preprocessing with a semantic segmentation neural network and designed a high-performance neural network architecture for the edge computing platform. The proposed design is capable of real-time operation to improve the effect of dynamic objects on the visual SLAM system.
Corresponding author: Pi-Yun Chen  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Neng-Sheng Pai, Xi-Zhi Huang, Pi-Yun Chen, Zi-Heng Zhong, and Wei-Zhe Huang, Construction and Development of Visual Simultaneous Localization and Mapping System for Multi-person Dynamic Spaces, Sens. Mater., Vol. 35, No. 7, 2023, p. 2549-2566. |
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