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 3(2) (2023)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 929-940
S&M3219 Research Paper of Special Issue https://doi.org/10.18494/SAM4223 Published: March 20, 2023 Space-constrained Mobile Laser-point Cloud Data Acquisition Method [PDF] Fengzhu Liu, Bogang Yang, Ying Yang, Yali Zhao, and Xi Zhai (Received October 31, 2022; Accepted February 20, 2023) Keywords: mobile laser-point cloud, ground laser-point cloud, data fusion, indoor mapping, outdoor mapping
The mobile laser-point cloud measurement system has been widely used in urban high-precision mapping. In some urban spaces with many high-rise buildings and indoor spaces, high-precision point cloud data cannot be directly obtained due to weak or no global navigation satellite system (GNSS) signals. We propose a space-constrained mobile vehicle-mounted laser scanning data acquisition plan that can effectively utilize the advantages of ground 3D laser scanning and mobile vehicle-mounted laser scanning. In addition, the plan adopts multi-source point cloud data fusion technology to obtain high-precision complete point cloud data both indoors and outdoors. The validity and reliability of the plan are verified by data acquisition experiments, which provide a useful reference for future high-precision mapping.
Corresponding author: Bogang Yang, Ying Yang  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Fengzhu Liu, Bogang Yang, Ying Yang, Yali Zhao, and Xi Zhai, Space-constrained Mobile Laser-point Cloud Data Acquisition Method, Sens. Mater., Vol. 35, No. 3, 2023, p. 929-940. |
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