Measurement methodology for surface defects inventory of building wall using smartphone with light detection and ranging sensor

被引:12
作者
Blaszczak-Bak, Wioleta [1 ]
Suchocki, Czeslaw [2 ]
Kozakiewicz, Tomasz [1 ]
Janicka, Joanna [1 ]
机构
[1] Univ Warmia & Mazury, Fac Geoengn, Olsztyn, Poland
[2] Koszalin Univ Technol, Fac Civil Engn Environm & Geodet Sci, Koszalin, Poland
关键词
Smartphone; LiDAR; TLS; Crack; Target;
D O I
10.1016/j.measurement.2023.113286
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The popularity of smartphones along with advances in sensor technologies has opened new possibilities for scientific application and low-cost observation. Particularly useful is the LiDAR sensor, which can be used to measure building elements. The aim of study is to propose a new methodology of using the smartphone with LiDAR Apple iPhone XR, in examining wall cracks and resulting displacement. Due to the fact, that the measured walls were quasi-flat and homogeneous, dedicated spatial measurement targets (SMTs) were used for measurement. These SMTs are designed to change the geometry of the tested object. The methodology proposed in the study includes measurements using a smartphone with LiDAR in variants with and without SMTs, and its analysis. The test results are compared with the measurements using a terrestrial laser scanner (TLS). Analysis showed that for detecting small cracks such as 0.5-1.0 mm, smartphone measurement with LiDAR and SMT is better than TLS.
引用
收藏
页数:13
相关论文
共 45 条
  • [1] Ameen W., 2018, APPL SCI, V8, P1
  • [2] AN P, 2022, MEAS J INT MEAS CONF, V188, P1, DOI DOI 10.1016/J.MEASUREMENT.2021.110598
  • [3] Measurement of Rock Joint Surfaces by Using Smartphone Structure from Motion (SfM) Photogrammetry
    An, Pengju
    Fang, Kun
    Jiang, Qiangqiang
    Zhang, Haihua
    Zhang, Yi
    [J]. SENSORS, 2021, 21 (03) : 1 - 22
  • [4] [Anonymous], 2011, LEICA SCANSTATION C1, P1
  • [5] Comparison of low cost 3D structured light scanners for face modeling
    Bakirman, Tolga
    Gumusay, Mustafa Umit
    Reis, Hatice Catal
    Selbesoglu, Mahmut Oguz
    Yosmaoglu, Serra
    Yaras, Mehmet Cem
    Seker, Dursun Zafer
    Bayram, Bulent
    [J]. APPLIED OPTICS, 2017, 56 (04) : 985 - 992
  • [6] CAO J, 2022, MEAS J INT MEAS CONF, V196, P1, DOI DOI 10.1016/J.MEASUREMENT.2022.111273
  • [7] Towards automatic flatness quality assessment for building indoor acceptance via terrestrial laser scanning
    Cao, Yuxing
    Liu, Jiepeng
    Feng, Shenqiang
    Li, Dongsheng
    Zhang, Sheng
    Qi, Hongtuo
    Cheng, Guozhong
    Chen, Y. Frank
    [J]. MEASUREMENT, 2022, 203
  • [8] Chen S.E., 2012, Laser scanner technology, P71, DOI [10.5772/32794, DOI 10.5772/32794]
  • [9] Benchmarking Different SfM-MVS Photogrammetric and iOS LiDAR Acquisition Methods for the Digital Preservation of a Short-Lived Excavation: A Case Study from an Area of Sinkhole Related Subsidence
    Corradetti, Amerigo
    Seers, Thomas
    Mercuri, Marco
    Calligaris, Chiara
    Busetti, Alice
    Zini, Luca
    [J]. REMOTE SENSING, 2022, 14 (20)
  • [10] A comparison between stereophotogrammetry and smartphone structured light technology for three-dimensional face scanning
    D'Ettorre, Giorgio
    Farronato, Marco
    Candida, Ettore
    Quinzi, Vincenzo
    Grippaudo, Cristina
    [J]. ANGLE ORTHODONTIST, 2022, 92 (03) : 358 - 363