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An automated target-oriented scanning system for infrastructure applications

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conference contribution
posted on 2020-12-10, 12:31 authored by Ruodan Lu, Yuening Ma, Liang Guo, Tony ThorpeTony Thorpe, Ioannis Brilakis
Point cloud pre-processing is essential for emerging applications such as digital twinning but currently requires a lot of manual effort before the resulting data can be used. Practitioners usually use default scan range settings to take full scans, which generate huge point cloud datasets containing millions of points. However, only a fraction of the dataset is used for subsequent twinning processes and the remaining data is “noise”. Researchers need to perform substantial cropping work to enable the point cloud can be used for detecting objects of interest. However, the problem of object detection in the post-processing stage also remains unresolved. This paper describes a new system TOSS to conduct a target-oriented scanning process. It streamlines the scan-to-gDT (geometric digital twin) process by automatically identifying the region of interest and its corresponding scanning path. TOSS consists of a cost-effective 3- DoF rotational laser scanner, a vision-based object detection algorithm, and a geometric-camera-model-based scanning control algorithm. Preliminary results on a real-world bridge indicate that TOSS can produce accurate scans of regions of interest (average: 95.5% Precision and 89.4% Recall). It is fully scalable and can be adapted to various infrastructure types, including buildings, bridges, industrial plants, tunnels, and roads. The algorithms also have great potential to be embedded in a traditional scanner’s software.

History

School

  • Architecture, Building and Civil Engineering

Published in

Construction Research Congress 2020 : Computer Applications

Source

2020 ASCE Construction Research Congress (CRC 20)

Publisher

ASCE

Version

  • AM (Accepted Manuscript)

Rights holder

© The Authors

Publisher statement

This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://ascelibrary.org/doi/pdf/10.1061/9780784482865.049.

Acceptance date

2019-10-21

Publication date

2020-11-09

Language

  • en

Location

Tempe, Arizona, USA

Event dates

8th March 2020 - 10th March 2020

Depositor

Dr Ruodan Lu. Deposit date: 26 March 2020

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