Young Researcher Paper Award 2023

Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

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.
Sensors and Materials
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


 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)

(translation service)

The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 34, Number 7(2) (2022)
Copyright(C) MYU K.K.
pp. 2615-2624
S&M2994 Research Paper of Special Issue
Published: July 14, 2022

Multi-sensorial Image Dataset Collected from Mobile Mapping System for Asphalt Pavement Management [PDF]

JaeKang Lee and Yong Huh

(Received November 13, 2021; Accepted January 18, 2022)

Keywords: asphalt pavement management, image registration, mobile mapping system, infrared dataset

In this study, we present a new dataset for managing asphalt pavement surfaces, especially for crack detection. To achieve this goal, we installed a multi-sensor system on the mobile mapping system (MMS) and obtained real-time RGB and IR images, and then the geometric constraint method was applied to find corresponding feature points to spatially register these images. Finally, three environmental data consisting of temperature, humidity, and wind speed are added to the images according to time and location. These data are integrated according to the proposed database model. The proposed system was tested and the databases were constructed for our experiment site, namely, the Capital Region First Ring Expressway in Goyang-si, Gyeonggi Province, South Korea. A total of 800 multi-sensorial images were collected from the expressway. The developed database can be used to train deep learning networks so that it will support detecting road signs or damage on asphalt surfaces.

Corresponding author: JaeKang Lee

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
JaeKang Lee and Yong Huh, Multi-sensorial Image Dataset Collected from Mobile Mapping System for Asphalt Pavement Management, Sens. Mater., Vol. 34, No. 7, 2022, p. 2615-2624.

Forthcoming Regular Issues

Forthcoming Special Issues

Applications of Novel Sensors and Related Technologies for Internet of Things
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
Call for paper

Special Issue on Advanced Data Sensing and Processing Technologies for Smart Community and Smart Life
Guest editor, Tatsuya Yamazaki (Niigata University)
Call for paper

Special Issue on Advanced Sensing Technologies and Their Applications in Human/Animal Activity Recognition and Behavior Understanding
Guest editor, Kaori Fujinami (Tokyo University of Agriculture and Technology)
Call for paper

Special Issue on International Conference on Biosensors, Bioelectronics, Biomedical Devices, BioMEMS/NEMS and Applications 2023 (Bio4Apps 2023)
Guest editor, Dzung Viet Dao (Griffith University) and Cong Thanh Nguyen (Griffith University)
Conference website
Call for paper

Special Issue on Piezoelectric Thin Films and Piezoelectric MEMS
Guest editor, Isaku Kanno (Kobe University)
Call for paper

Special Issue on Advanced Micro/Nanomaterials for Various Sensor Applications (Selected Papers from ICASI 2024)
Guest editor, Sheng-Joue Young (National United University)
Conference website
Call for paper

Copyright(C) MYU K.K. All Rights Reserved.