Work

Automatic Recognition of Piping System from Large-scale Terrestrial Laser Scanned Point Cloud

Year: 2012

Type: article

Abstract: Recently, changes of plant equipments become more frequent, and the construction of as-built models of the existing plant from laser scan data is expected to make the reconstruction processes more efficient. The purpose of this research is to propose an algorithm which can recognize a piping system from terrestrial laser scan data of plant equipments. The straight portion of pipes, connecting relationship of the piping system can be recognized in this algorithm. Eigenvalue analyses of the point clouds and of the normal vectors enable the recognition. Using only point clouds, the recognition algorithm can be applied to registered point clouds and can be performed in a fully automatic way. The recognition results of real plants have shown the effectiveness of the algorithm.

Source: Journal of the Japan Society for Precision Engineering

DOI: 10.2493/jjspe.78.722

Authors: Kazuaki KAWASHIMA, Satoshi KANAI, Hiroaki DATE

Institution: Hokkaido University

Language: English

Topic: 3D Surveying and Cultural Heritage

Subfield: Geology

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: bronze

OpenAlex ID: W2335518222

FWCI: 3.007

Cites: 7

Cited by: 11

Related to: 10