Collaborative SLAM and AR-guided navigation for floor layout inspection

Kihyun Yu; Jeong Hyeon Ahn; Jongmin Lee; Myungho Kim; Jung Hyun Han

doi:10.1007/s00371-020-01911-8

Collaborative SLAM and AR-guided navigation for floor layout inspection

Kihyun Yu, Jeong Hyeon Ahn, Jongmin Lee, Myungho Kim, Jung Hyun Han

Department of Computer Science and Engineering

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

This paper presents how visual SLAM and AR interfaces are integrated for inspecting the floor layouts, which is a standard stage in building a semiconductor fabrication plant (commonly called a fab). The proposed system supports multiple inspectors working in a large fab floor through client–server communications. The inspectors/clients scan the fab floor using smartphones to construct the floor map collaboratively, and then, its discrepancy from the given floor plan is checked by the server. The inspection results are broadcast to all clients and visualized via AR to help the inspectors move to unscanned areas. The experiments made with the proposed system show its accuracy and efficiency. By solving a real-world industrial problem, the proposed system proves the benefits that can be brought by integrating collaborative SLAM technique and AR-guided navigation interface.

Original language	English
Pages (from-to)	2051-2063
Number of pages	13
Journal	Visual Computer
Volume	36
Issue number	10-12
DOIs	https://doi.org/10.1007/s00371-020-01911-8
Publication status	Published - 2020 Oct 1

Bibliographical note

Funding Information:
This work was supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2020-0-00861) and National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2017M3C4A7066316).

Funding Information:
This work was supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2020-0-00861) and National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2017M3C4A7066316).

Publisher Copyright:
© 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

Keywords

Augmented reality
Discrepancy check
Inspection
SLAM

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Computer Graphics and Computer-Aided Design

Access to Document

10.1007/s00371-020-01911-8

Cite this

@article{318fb67215a848fd8dbc3b1d11f2c5aa,

title = "Collaborative SLAM and AR-guided navigation for floor layout inspection",

abstract = "This paper presents how visual SLAM and AR interfaces are integrated for inspecting the floor layouts, which is a standard stage in building a semiconductor fabrication plant (commonly called a fab). The proposed system supports multiple inspectors working in a large fab floor through client–server communications. The inspectors/clients scan the fab floor using smartphones to construct the floor map collaboratively, and then, its discrepancy from the given floor plan is checked by the server. The inspection results are broadcast to all clients and visualized via AR to help the inspectors move to unscanned areas. The experiments made with the proposed system show its accuracy and efficiency. By solving a real-world industrial problem, the proposed system proves the benefits that can be brought by integrating collaborative SLAM technique and AR-guided navigation interface.",

keywords = "Augmented reality, Discrepancy check, Inspection, SLAM",

author = "Kihyun Yu and Ahn, {Jeong Hyeon} and Jongmin Lee and Myungho Kim and Han, {Jung Hyun}",

note = "Funding Information: This work was supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2020-0-00861) and National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2017M3C4A7066316). Funding Information: This work was supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2020-0-00861) and National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2017M3C4A7066316). Publisher Copyright: {\textcopyright} 2020, Springer-Verlag GmbH Germany, part of Springer Nature.",

year = "2020",

month = oct,

day = "1",

doi = "10.1007/s00371-020-01911-8",

language = "English",

volume = "36",

pages = "2051--2063",

journal = "Visual Computer",

issn = "0178-2789",

publisher = "Springer Verlag",

number = "10-12",

}

TY - JOUR

T1 - Collaborative SLAM and AR-guided navigation for floor layout inspection

AU - Yu, Kihyun

AU - Ahn, Jeong Hyeon

AU - Lee, Jongmin

AU - Kim, Myungho

AU - Han, Jung Hyun

N1 - Funding Information: This work was supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2020-0-00861) and National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2017M3C4A7066316). Funding Information: This work was supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2020-0-00861) and National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2017M3C4A7066316). Publisher Copyright: © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

PY - 2020/10/1

Y1 - 2020/10/1

N2 - This paper presents how visual SLAM and AR interfaces are integrated for inspecting the floor layouts, which is a standard stage in building a semiconductor fabrication plant (commonly called a fab). The proposed system supports multiple inspectors working in a large fab floor through client–server communications. The inspectors/clients scan the fab floor using smartphones to construct the floor map collaboratively, and then, its discrepancy from the given floor plan is checked by the server. The inspection results are broadcast to all clients and visualized via AR to help the inspectors move to unscanned areas. The experiments made with the proposed system show its accuracy and efficiency. By solving a real-world industrial problem, the proposed system proves the benefits that can be brought by integrating collaborative SLAM technique and AR-guided navigation interface.

AB - This paper presents how visual SLAM and AR interfaces are integrated for inspecting the floor layouts, which is a standard stage in building a semiconductor fabrication plant (commonly called a fab). The proposed system supports multiple inspectors working in a large fab floor through client–server communications. The inspectors/clients scan the fab floor using smartphones to construct the floor map collaboratively, and then, its discrepancy from the given floor plan is checked by the server. The inspection results are broadcast to all clients and visualized via AR to help the inspectors move to unscanned areas. The experiments made with the proposed system show its accuracy and efficiency. By solving a real-world industrial problem, the proposed system proves the benefits that can be brought by integrating collaborative SLAM technique and AR-guided navigation interface.

KW - Augmented reality

KW - Discrepancy check

KW - Inspection

KW - SLAM

UR - http://www.scopus.com/inward/record.url?scp=85088020115&partnerID=8YFLogxK

U2 - 10.1007/s00371-020-01911-8

DO - 10.1007/s00371-020-01911-8

M3 - Article

AN - SCOPUS:85088020115

SN - 0178-2789

VL - 36

SP - 2051

EP - 2063

JO - Visual Computer

JF - Visual Computer

IS - 10-12

ER -

Collaborative SLAM and AR-guided navigation for floor layout inspection

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this