2019
DOI: 10.3390/rs11192205
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Validation of Portable Mobile Mapping System for Inspection Tasks in Thermal and Fluid–Mechanical Facilities

Abstract: The three-dimensional registration of industrial facilities has a great importance for maintenance, inspection, and safety tasks and it is a starting point for new improvements and expansions in the industrial facilities context. In this paper, a comparison between the results obtained using a novel portable mobile mapping system (PMMS) and a static terrestrial laser scanner (TLS), widely used for 3D reconstruction in civil and industrial scenarios, is carried out. This comparison is performed in the context o… Show more

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Cited by 17 publications
(19 citation statements)
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References 33 publications
(39 reference statements)
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“…Appendix 4). Moreover, to ensure the present study does not fall into the trap of over-generalising the Gaussian nature of the population, the precise definitions of our target probability distributions were robustly defined 41,46,47 . www.nature.com/scientificreports/ From the perspective of supervised learning, the present study reveals the capabilities of computational learning algorithms for the differentiation of carnivore taxa based on the morphology of carnivore tooth pits.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Appendix 4). Moreover, to ensure the present study does not fall into the trap of over-generalising the Gaussian nature of the population, the precise definitions of our target probability distributions were robustly defined 41,46,47 . www.nature.com/scientificreports/ From the perspective of supervised learning, the present study reveals the capabilities of computational learning algorithms for the differentiation of carnivore taxa based on the morphology of carnivore tooth pits.…”
Section: Discussionmentioning
confidence: 99%
“…Appendix 4 ). Moreover, to ensure the present study does not fall into the trap of over-generalising the Gaussian nature of the population, the precise definitions of our target probability distributions were robustly defined 41 , 46 , 47 .…”
Section: Discussionmentioning
confidence: 99%
“…The hypotheses tests employed were then dependent on Shapiro–Wilk results, employing parametric tests when Gaussian distributions were detected and non-parametric tests upon rejecting this assumption. In each of the univariate cases, robust and traditional descriptive statistics were then employed [ 46 , 72 , 73 , 74 ], using the mean and median to report Gaussian and non-Gaussian central tendencies, followed by the first standard deviation or the square root of the Biweight Midvariance (BWMV; Supplementary File S3, Equations (S3.1)–(S3.3)) . Two-One Sided equivalency Tests (TOST) were then employed to test for the magnitude of equivalency between samples according to Cohen’s d [ 75 ].…”
Section: Methodsmentioning
confidence: 99%
“…The BWMV (reported as its square-root) is a further nonparametric measurement that additionally presents robustness of efficiency, proving a valuable substitute in non-parametric calculations [85]. NMAD and the square-root of the BWMV have proven to be important variables in accuracy control and system assessment analysis in remote sensing applications [83,[85][86][87][88][89]. Because of this, these metrics were employed as a substitute for standard deviation error calculations where Gaussian distributions were not detected, while the central tendency is reported as the median.…”
Section: Plos Onementioning
confidence: 99%