This work is licensed under the Creative Commons Attribution 4.0 International License.
Kim, Y., & Bruland, A. (2019). Analysis and evaluation of tunnel contour quality index. Automation in Construction, 99, 223–237.KimY.BrulandA.2019Analysis and evaluation of tunnel contour quality index9922323710.1016/j.autcon.2018.12.008Search in Google Scholar
Costamagna, E., Oggeri, C., Segarra, P., Castedo, R., & Navarro, J. (2018). Assessment of contour profile quality in D&B tunnelling. Tunnelling and Underground Space Technology, 75, 67–80.CostamagnaE.OggeriC.SegarraP.CastedoR.NavarroJ.2018Assessment of contour profile quality in D&B tunnelling75678010.1016/j.tust.2018.02.007Search in Google Scholar
Soilán, M., Sánchez-Rodríguez, A., del Río-Barral, P., Perez-Collazo, C., Arias, P., & Riveiro, B. (2019). Review of laser scanning technologies and their applications for road and railway infrastructure monitoring. Infrastructures, 4(4), 58.SoilánM.Sánchez-RodríguezA.del Río-BarralP.Perez-CollazoC.AriasP.RiveiroB.2019Review of laser scanning technologies and their applications for road and railway infrastructure monitoring445810.3390/infrastructures4040058Search in Google Scholar
Zogg, H. M., & Ingensand, H. (2008). Terrestrial laser scanning for deformation monitoring: Load tests on the Felsenau Viaduct (CH). International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(B5), 555–562.ZoggH. M.IngensandH.2008Terrestrial laser scanning for deformation monitoring: Load tests on the Felsenau Viaduct (CH)37B5555562Search in Google Scholar
Xu, H., Li, H., Yang, X., Qi, S., & Zhou, J. (2019). Integration of terrestrial laser scanning and nurbs modeling for the deformation monitoring of an earth-rock dam. Sensors, 19(1), 22.XuH.LiH.YangX.QiS.ZhouJ.2019Integration of terrestrial laser scanning and nurbs modeling for the deformation monitoring of an earth-rock dam1912210.3390/s19010022Search in Google Scholar
Lenda, G., Siwiec, J., & Kudrys, J. (2020). Multi-Variant TLS and SfM Photogrammetric Measurements Affected by Different Factors for Determining the Surface Shape of a Thin-Walled Dome. Sensors, 20(24), 7095.LendaG.SiwiecJ.KudrysJ.2020Multi-Variant TLS and SfM Photogrammetric Measurements Affected by Different Factors for Determining the Surface Shape of a Thin-Walled Dome2024709510.3390/s20247095Search in Google Scholar
Brazeal, R. (2013). Low cost spherical registration targets for terrestrial laser scanning. SUR 6905-point cloud analysis.BrazealR.2013Low cost spherical registration targets for terrestrial laser scanningSearch in Google Scholar
Bazarnik, M. (2014). The potential of terrestrial 3D laser scanning in inventory and monitoring of tunnel railway (in Polish). Zeszyty Naukowo-Techniczne Stowarzyszenia Inżynierów i Techników Komunikacji w Krakowie. Seria: Materiały Konferencyjne.BazarnikM.2014The potential of terrestrial 3D laser scanning in inventory and monitoring of tunnel railway (in Polish)Search in Google Scholar
Suchocki, C., Damięcka-Suchocka, M., & Katzer, J. 5. Influence of factors on the value of the reflection strength of a laser beam in terrestrial laser scanning (in Polish).SuchockiC.Damięcka-SuchockaM.KatzerJ.Search in Google Scholar
Lemmens, M. (2011). Terrestrial laser scanning. In Geo-information (pp. 101–121). Springer, Dordrecht.LemmensM.2011Terrestrial laser scanningIn101121SpringerDordrecht10.1007/978-94-007-1667-4_6Search in Google Scholar
Remondino, F. (2003). From point cloud to surface: the modeling and visualization problem. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 34.RemondinoF.2003From point cloud to surface: the modeling and visualization problem34Search in Google Scholar
Sanchez, T., Conciatori, D., Ben-Ftima, M., & Massicotte, B. (2020). Terrestrial laser scanning for structural inspection with Kriging interpolation. Structure and Infrastructure Engineering, 1–10.SanchezT.ConciatoriD.Ben-FtimaM.MassicotteB.2020Terrestrial laser scanning for structural inspection with Kriging interpolation11010.1080/15732479.2020.1861469Search in Google Scholar
Wang, W., Zhao, W., Huang, L., Vimarlund, V., & Wang, Z. (2014). Applications of terrestrial laser scanning for tunnels: a review. Journal of Traffic and Transportation Engineering (English Edition), 1(5), 325–337.WangW.ZhaoW.HuangL.VimarlundV.WangZ.2014Applications of terrestrial laser scanning for tunnels: a review1532533710.1016/S2095-7564(15)30279-8Search in Google Scholar
Xie, X., & Lu, X. (2017). Development of a 3D modeling algorithm for tunnel deformation monitoring based on terrestrial laser scanning. Underground Space, 2(1), 16–29.XieX.LuX.2017Development of a 3D modeling algorithm for tunnel deformation monitoring based on terrestrial laser scanning21162910.1016/j.undsp.2017.02.001Search in Google Scholar
Yang, Q., Zhang, Z., Liu, X., & Ma, S. (2017). Development of laser scanner for full cross-sectional deformation monitoring of underground gateroads. Sensors, 17(6), 1311.YangQ.ZhangZ.LiuX.MaS.2017Development of laser scanner for full cross-sectional deformation monitoring of underground gateroads176131110.3390/s17061311549247028590449Search in Google Scholar
Cheng, Y. J., Qiu, W., & Lei, J. (2016). Automatic extraction of tunnel lining cross-sections from terrestrial laser scanning point clouds. Sensors, 16(10), 1648.ChengY. J.QiuW.LeiJ.2016Automatic extraction of tunnel lining cross-sections from terrestrial laser scanning point clouds1610164810.3390/s16101648Search in Google Scholar
Han, S., Cho, H., Kim, S., Jung, J., & Heo, J. (2013). Automated and efficient method for extraction of tunnel cross sections using terrestrial laser scanned data. Journal of computing in civil engineering, 27(3), 274–281.HanS.ChoH.KimS.JungJ.HeoJ.2013Automated and efficient method for extraction of tunnel cross sections using terrestrial laser scanned data27327428110.1061/(ASCE)CP.1943-5487.0000211Search in Google Scholar
Barla, G., Antolini, F., & Gigli, G. (2016). 3D Laser scanner and thermography for tunnel discontinuity mapping. Geomechanics and Tunnelling, 9(1), 29–36.BarlaG.AntoliniF.GigliG.20163D Laser scanner and thermography for tunnel discontinuity mapping91293610.1002/geot.201500050Search in Google Scholar
Tan, K., Cheng, X., Ju, Q., & Wu, S. (2016). Correction of mobile TLS intensity data for water leakage spots detection in metro tunnels. IEEE geoscience and remote sensing letters, 13(11), 1711–1715.TanK.ChengX.JuQ.WuS.2016Correction of mobile TLS intensity data for water leakage spots detection in metro tunnels13111711171510.1109/LGRS.2016.2605158Search in Google Scholar
Živec, T., Anžur, A., & Verbovšek, T. (2019). Determination of rock type and moisture content in flysch using TLS intensity in the Elerji quarry (south-west Slovenia). Bulletin of Engineering Geology and the Environment, 78(3), 1631–1643.ŽivecT.AnžurA.VerbovšekT.2019Determination of rock type and moisture content in flysch using TLS intensity in the Elerji quarry (south-west Slovenia)7831631164310.1007/s10064-018-1245-2Search in Google Scholar
Pejić, M. (2013). Design and optimisation of laser scanning for tunnels geometry inspection. Tunnelling and underground space technology, 37, 199–206.PejićM.2013Design and optimisation of laser scanning for tunnels geometry inspection3719920610.1016/j.tust.2013.04.004Search in Google Scholar
Thiel, K. (1995). Physico-mechanical properties and models of rock massifs of the Polish flysch Carpathians (in Polish). IBW PAN Gdańsk, Biblioteka Naukowa Hydrotechnika, (19).ThielK.1995Physico-mechanical properties and models of rock massifs of the Polish flysch Carpathians (in Polish)19Search in Google Scholar
Faro Focus Laser Scanners, (2021), FARO, https://www.faro.com/en/Products/Hardware/Focus-Laser-Scanners2021FAROhttps://www.faro.com/en/Products/Hardware/Focus-Laser-ScannersSearch in Google Scholar
SCENE User Manual, (2020), FARO, https://faro.app.box.com/s/uivkgf3jyrxcxn5ofazlohjnadddknhr/file/7307180828102020FAROhttps://faro.app.box.com/s/uivkgf3jyrxcxn5ofazlohjnadddknhr/file/730718082810Search in Google Scholar
ReCap Support and learning, (2021), Autodesk, https://knowledge.autodesk.com/support/recap/learn?fbclid=IwAR0tmnHo5wFwwVauarBL_dUZruBnsjZOvlbQDVoqFL_fry5QfqgAU71jvPw2021Autodeskhttps://knowledge.autodesk.com/support/recap/learn?fbclid=IwAR0tmnHo5wFwwVauarBL_dUZruBnsjZOvlbQDVoqFL_fry5QfqgAU71jvPwSearch in Google Scholar
AutoCAD Civil 3D 2010 User's Guide, (2009), Autodesk, http://images.autodesk.com/adsk/files/civil3d_ug.pdf?fbclid=IwAR1k-Im5CB61VP7GpvuNbWZh3Fumhd9ndLgQFSTHYmwAuonzNUIdAz67Lls2009Autodeskhttp://images.autodesk.com/adsk/files/civil3d_ug.pdf?fbclid=IwAR1k-Im5CB61VP7GpvuNbWZh3Fumhd9ndLgQFSTHYmwAuonzNUIdAz67LlsSearch in Google Scholar
Niedbalski, Z., Małkowski, P., & Majcherczyk, T. (2018). Application of the NATM method in the road tunneling works in difficult geological conditions–The Carpathian flysch. Tunnelling and Underground Space Technology, 74, 41–59.NiedbalskiZ.MałkowskiP.MajcherczykT.2018Application of the NATM method in the road tunneling works in difficult geological conditions–The Carpathian flysch74415910.1016/j.tust.2018.01.003Search in Google Scholar
Ye, Z., & Zhang, C. (2020). Influence of Loose Contact between Tunnel Lining and Surrounding Rock on the Safety of the Tunnel Structure. Symmetry, 12(10), 1733.YeZ.ZhangC.2020Influence of Loose Contact between Tunnel Lining and Surrounding Rock on the Safety of the Tunnel Structure1210173310.3390/sym12101733Search in Google Scholar
Kim, Y., & Bruland, A. (2015). A study on the establishment of Tunnel Contour Quality Index considering construction cost. Tunnelling and Underground Space Technology, 50, 218–225.KimY.BrulandA.2015A study on the establishment of Tunnel Contour Quality Index considering construction cost5021822510.1016/j.tust.2015.07.010Search in Google Scholar
Geometrical product specifications (GPS) - Surface texture: Areal - Part 2: Terms, definitions and surface texture parameters (ISO 25178–2:2012)Geometrical product specifications (GPS)Search in Google Scholar