Sensor modeling of laser scanners for automated scan planning on construction jobsites

Pingbo Tang, Fahd Saleh Alaswad

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

15 Scopus citations

Abstract

A challenge of using terrestrial laser scanners on jobsites is to effectively plan the scanning locations and configure scanners' technical parameters according to the domain requirements and site conditions. With time limits in the field, it is challenging to manually design and analyze scanning plans considering technical capabilities of scanners and environmental conditions (e.g., occlusions) for ensuring that all needed spatial information is captured with the required levels of accuracy and detail. In addition, the information requirements of construction tasks may vary spatially and temporally, further complicating the scan planning. These facts can lead to longer data collection time, unexpected interferences on jobsites, and missing data. This paper proposes an approach of automated laser scan planning based on sensor models of terrestrial laser scanners. We developed a sensor model capturing the relationships between various data collection parameters (e.g., data collection distances) and data quality metrics (e.g., accuracies and densities of 3D point clouds). Given the user-specified data quality requirements, an optimization algorithm can use this sensor model to identify scanning plans that minimize the data collection time while optimizing the data qualities and spatial information coverage.

Original languageEnglish (US)
Title of host publicationConstruction Research Congress 2012
Subtitle of host publicationConstruction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress
Pages1021-1031
Number of pages11
DOIs
StatePublished - Sep 19 2012
EventConstruction Research Congress 2012: Construction Challenges in a Flat World - West Lafayette, IN, United States
Duration: May 21 2012May 23 2012

Publication series

NameConstruction Research Congress 2012: Construction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress

Other

OtherConstruction Research Congress 2012: Construction Challenges in a Flat World
CountryUnited States
CityWest Lafayette, IN
Period5/21/125/23/12

Keywords

  • Automation
  • Construction management
  • Inspection planning
  • Laser scanning
  • Sensor modeling

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

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  • Cite this

    Tang, P., & Alaswad, F. S. (2012). Sensor modeling of laser scanners for automated scan planning on construction jobsites. In Construction Research Congress 2012: Construction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress (pp. 1021-1031). (Construction Research Congress 2012: Construction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress). https://doi.org/10.1061/9780784412329.103