Abstract
Terrestrial laser scanning is finding an increasing range of applications in the Architectural Engineering Construction and Facilities Management (AEC/FM) industry. While significant progress has been made in the performance of laser scanners and multi-scan registration, planning for scanning – i.e. the selection of locations for the scanner and registration targets – still done quite subjectively by surveyors and is underpinned by little or very basic scientific reasoning. This may lead 3D point cloud data being incomplete or insufficiently accurate to deliver the completeness and accuracy
in the subsequent measurement or modelling tasks.
In this paper, preliminary results are presented for a novel scientific approach for planning for scanning in the construction sector. The approach is designed to generate automatic laser scanning plans using as input: (1) the facility’s 3D BIM model; (2) the scanner’s characteristics; and (3) the scanning specifications in terms of individual point precision and surface area covered by the scanned data for each 3D BIM model object. The output is the smallest set of scanner locations required to achieve those requirements. The particular value of the proposed approach is its capacity to take model self-occlusions into account. The performance of this approach is assessed with a simple experiment simulating the scanning of a concrete structure.
in the subsequent measurement or modelling tasks.
In this paper, preliminary results are presented for a novel scientific approach for planning for scanning in the construction sector. The approach is designed to generate automatic laser scanning plans using as input: (1) the facility’s 3D BIM model; (2) the scanner’s characteristics; and (3) the scanning specifications in terms of individual point precision and surface area covered by the scanned data for each 3D BIM model object. The output is the smallest set of scanner locations required to achieve those requirements. The particular value of the proposed approach is its capacity to take model self-occlusions into account. The performance of this approach is assessed with a simple experiment simulating the scanning of a concrete structure.
Original language | English |
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Title of host publication | Proceedings of the 32nd International Symposium on Automation and Robotics in Construction and Mining (ISARC 2015) |
Subtitle of host publication | Connected to the Future |
Publisher | International Association for Automation and Robotics in Construction |
Pages | 1-8 |
Number of pages | 8 |
ISBN (Print) | 9781510809246 |
DOIs | |
Publication status | Published - 2015 |
Event | 32nd International Symposium on Automation and Robotics in Construction and Mining - Oulu, Finland Duration: 15 Jun 2015 → 18 Jun 2015 |
Conference
Conference | 32nd International Symposium on Automation and Robotics in Construction and Mining |
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Abbreviated title | ISARC 2015 |
Country/Territory | Finland |
City | Oulu |
Period | 15/06/15 → 18/06/15 |
Keywords
- Laser Scanning
- BIM
- 3D
- Point clouds
- Planning
- Quality
- Precision
- Covered surface
- Occlusion