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Rescan Strategy for Time Efficient View and Path Planning in Automated Inspection System

Authors
Kwon, HoonNa, MinwooSong, Jae-Bok
Issue Date
10월-2019
Publisher
KOREAN SOC PRECISION ENG
Keywords
Active vision; Model-based robotic inspection; View planning; Path planning
Citation
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, v.20, no.10, pp.1747 - 1756
Indexed
SCIE
SCOPUS
KCI
Journal Title
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING
Volume
20
Number
10
Start Page
1747
End Page
1756
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/62702
DOI
10.1007/s12541-019-00186-x
ISSN
2234-7593
Abstract
In 3D robotic inspection systems, view planning and path planning are important to minimize the operation time of the system. In this study, an automated inspection system is proposed that consists of a structured light scanner, a collaborative robot, and a rotary table. In addition, a rescan strategy algorithm is proposed that can minimize the operation time of the system and enhance the reliability of the inspection task. This algorithm uses a small number of viewpoints for view planning by selecting an area to be rescanned. At the same time, path planning with the rotation and alignment of viewpoints using a rotary table make it possible to reduce the scanning time. Experimental results on various objects have verified that the proposed method can be applied to the 3D quality inspection task with a reasonable operation time.
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공과대학 (기계공학부)
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