Ingo Neumann

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The monitoring of buildings, slide slopes and crustal movements is a central task of geodetic engineering. The aim is the generation of meaningful motion and deformation models in order to quickly and specifically initiate constructional or geotechnical safety measures. The adequateness of the actions depends essentially on the quality of the observation(More)
In many practical situations, there exist regulatory thresholds: e.g., a concentration of certain chemicals in the car exhaust cannot exceed a certain level, etc. In this paper, we describe how to make accept/reject decisions under measurement or expert uncertainty in case of regulatory and expert-based thresholds – where the threshold does not come from a(More)
The significance of estimated point and object movements in geodetic deformation analysis depends essentially on the quality of the observations and analysis techniques. A comprehensive modeling of the complete analysis process from the original observations to the parameters of interest requires an adequate consideration and propagation of all sources of(More)
Terrestrial laser scanning (TLS) is an efficient solution to collect large-scale data. The efficiency can be increased by combining TLS with additional sensors in a TLS-based multi-sensor-system (MSS). The uncertainty of scanned points is not homogenous and depends on many different influencing factors. These include the sensor properties, referencing, scan(More)
This paper gives an overview on several current indoor georeferencing methods for kinematic multi sensor systems (MSS) and compares them to each other. Key issue is the application of these methods in complex indoor environments like office spaces with many separate rooms and contorted structures. Furthermore, a new universal knowledge-based approach for(More)
The Kalman filter combines given physical information for a linear system and external observations of its state in an optimal way. Conventionally, the uncertainty is assessed in a stochastic framework: measurement and system errors are modelled using random variables and probability distributions. However, the quantification of the uncertainty budget of(More)
In this paper, we show that empirical successes of Student distribution and of Matern’s covariance models can be indirectly explained by a natural requirement of scale invariance – that fundamental laws should not depend on the choice of physical units. Namely, while neither the Student distributions nor Matern’s covariance models are themselves(More)
 The evaluation of uncertainties according to the „„Guide to the Expression of Uncertainty in Measurement‟‟ is presented in this study based on a novel Fuzzy-randomvariables approach. Whereas the classically proposed methods like Monte Carlo techniques treat all uncertainties as having a random nature, the fuzzy technique distinguishes between aleatoric(More)
In engineering practice, usually measurement errors are described by normal distributions. However, in some cases, the distribution is heavy-tailed and thus, not normal. In such situations, empirical evidence shows that the Student distributions are most adequate. The corresponding recommendation – based on empirical evidence – is included in the(More)