Extracting surveying goals from point clouds to support construction and infrastructure inspection

Pingbo Tang, Burcu Akinci

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

Inspectors need accurate and efficient methods for obtaining geometric information about facilities for construction and infrastructure management. Laser scanners can capture millions of 3D points, which have mm accuracy, in minutes, and hence can streamline extraction of geometric information. Currently, extraction of geometric information is done manually. This paper describes a case study, which shows that manual approach is inefficient and error-prone. Aiming at improving the efficiency and effectiveness of extracting survey goals, this paper discusses computer interpretable representations of surveying goals as a first step towards extraction of surveying goals. The described approach targets enabling surveyors to compose surveying goals as facility parts, features, operations tuples. Reasoning mechanisms can transform user-defined surveying goals described by these tuples into a sequence of measurement operations to generate results.C Copyright ASCE 2009.

Original languageEnglish (US)
Title of host publicationBuilding a Sustainable Future - Proceedings of the 2009 Construction Research Congress
Pages1164-1173
Number of pages10
DOIs
StatePublished - Sep 11 2009
Event2009 Construction Research Congress - Building a Sustainable Future - Seattle, WA, United States
Duration: Apr 5 2009Apr 7 2009

Publication series

NameBuilding a Sustainable Future - Proceedings of the 2009 Construction Research Congress

Other

Other2009 Construction Research Congress - Building a Sustainable Future
Country/TerritoryUnited States
CitySeattle, WA
Period4/5/094/7/09

Keywords

  • Construction and infrastructure inspection
  • Information retrieval
  • Laser scanning
  • Surveying goal

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

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