Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Ruodan Lu"'
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3210 (2021)
With the acceleration in three-dimensional (3D) high-frame-rate sensing technologies, dense point clouds collected from multiple standpoints pose a great challenge for the accuracy and efficiency of registration. The combination of coarse registratio
Externí odkaz:
https://doaj.org/article/69635d4dfe7c47fdaa7b2a031c31764d
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0199510 (2018)
The literature of social class and inequality is not only diverse and rich in sight, but also complex and fragmented in structure. This article seeks to map the topic landscape of the field and identify salient development trajectories over time. We
Externí odkaz:
https://doaj.org/article/7e165aa55f9545f688b901b9bc574993
Autor:
Ioannis Brilakis, Ruodan Lu
The automation of digital twinning for existing bridges from point clouds has yet been solved. Whilst current methods can automatically detect bridge objects in points clouds in the form of labelled point clusters, the fitting of accurate 3D shapes t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::046f5565f8552e3be36ed84ca28f1087
Autor:
Ruodan Lu, Ioannis Brilakis
Prior studies reported that the time needed to manually convert a point cloud to an as-is geometric model using cutting edge modelling software is ten times greater than the time needed to obtain the point cloud. The laborious nature of manually mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b571bc068e5654a3a912ba1ace432478
Publikováno v:
Organization, Technology and Management in Construction: An International Journal, Vol 13, Iss 2, Pp 2472-2483 (2021)
Organization, technology & management in construction : an international journal
Volume 13
Issue 1
Organization, technology & management in construction : an international journal
Volume 13
Issue 1
We aim to draw in-depth insights into the current literature in construction health and safety and provide perspectives for future research efforts. The existing literature on construction health and safety is not only diverse and rich in sight, but
Publikováno v:
International Journal of Construction Management. 23:565-578
Verifying geometric compliance in offsite manufacturing (OSM) is key for ensuring adequate fit-up, structural integrity, building system performance, and assembly alignment on site. The use of a ge...
Publikováno v:
Science China Mathematics. 64:197-210
Statistical machine learning models should be evaluated and validated before putting to work. Conventional k-fold Monte Carlo cross-validation (MCCV) procedure uses a pseudo-random sequence to partition instances into k subsets, which usually causes
Autor:
Ruodan Lu, Ioannis Brilakis
Publikováno v:
Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction. 172:3-18
This paper describes the design, implementation and benchmarking of a framework for automating the process of geometric digital twinning for existing slab and beam-and-slab bridges. Called Lukis, the framework followed a top-down strategy to detect a
We present an exploratory analysis of the geometric accuracy of digital twins generated for existing infrastructure using point clouds. A fundamental feature of digital twins is their 3D geometry. The Level of Geometric Accuracy is a vital specificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5caf66d0ce2c6a0a9fc4dbf12e855d2b
https://doi.org/10.5772/intechopen.92775
https://doi.org/10.5772/intechopen.92775
Publikováno v:
Construction Research Congress 2020.
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,