Geodetic networks of processing by singular decomposition of the configuration matrix

The paper present a solution of the Gauss-Markov Model for processing geodetic networks with constraints using singular decomposition of the networks design matrix A. The homogenisation and dehomogenisation of the model needed for this purpose is introduced too. Outputs of the solution are presented by the necessary matrices and upon advantages of this way are discoursed

Tagging new physics with charm

We propose a new variable, the charm fraction, for collider searches for new physics. We analyze this variable in the context of searches for simplified supersymmetry models with squarks, the gluino, and the bino, assuming that only the lightest mass-degenerate squarks can be produced at the high-luminosity LHC. The charm fraction complements event counting and kinematic information, increasing the sensitivity of the searches for models with heavy gluinos, for which squark production is flavor-blind. If squarks are discovered at the LHC, this variable can help discriminate between different underlying models. In particular, with improved charm tagging, the charm fraction can provide information on the gluino mass, and in some scenarios, on whether this mass is within the reach of a future 100 TeV hadron collider.Comment: 16 pages, 9 figures; double-tagging analysis added; discussion of results expanded; version to appear in JHE

3D coordinate systems for processing measurements performed by total stations

This contribution to topic of 3D netpoints determination using geodetic total stations deals with the 3D coordinate systems needed for measuring and its processing. The following systems are treated: astronomical station system (SAS), geodetical station system (SGS), local geodetic system (LGS) and the reference (ellipsoidcentric) system (RES), from that SAS is for realization of measurements and LGS, RES are for processing and computation of 3D coordinates of the points determined

Detection of erroneous values in the measurement of local geodetic networks

For processing the results of local geodetic network (LGN) measurement with possible erroneous values and coordinates:d (slope distances between the points), ω (horizontal angles), z (zenith distances). CDB = [X ,Y]DB (coordinates of the datumpoints), CU0B = [X 0 ,Y 0 ]UB (coordinates of approximately determined points) and detecting the errors it is appropriate to usea technique that will be further demonstrated in a real situation of the trilateration LGN (fig. 1) with a massive contaminationof the simulated errors in the measured elements and numerically determined values

Identity analysis for plane network points

In 1987 and 1997 a deformation network was measured with different datum points of the reference frame S-JTSK. The difference vectors obtained were unable for identity analysis because of the effect of the S-JTSK datum deformations in this region. Various statistical tools were applied in the analysis: three testing procedures for filtering the systematic influences in the vectors and two identity tests for the network points to detect their significant displacements

Robust adjustment of a geodetic network measured by satellite technology in the Dargovských Hrdinov suburb

This article addresses the adjustment of a 3D geodetic network in the Dargovských Hrdinov suburbs using Global Navigation SatelliteSystems (GNSS) for the purposes of deformation analysis. The advantage of using the GNSS compared to other terrestrial technology is thatit is not influenced by unpredictability in the ground level atmosphere and individual visibilities between points in the observed network arenot necessary. This article also includes the planning of GNSS observations using Planning Open Source software from Trimble as well assubsequent observations at individual network points. The geodetic network is processing on the basis of the Gauss-Markov model usingthe least square method and robust adjustment. From robust methods, Huber’s Robust M-estimation and Hampel’s Robust M-estimationwere used. Individual adjustments were tested and subsequently the results of analysis were graphically visualised using absolute confidenceellipsoids

3D geodetic monitoring slope deformations

For plenty of slope failures that can be found in Slovakia is necessary and very important their geodetic monitoring (because of their activity, reactivisations, checks). The paper gives new methodologies for these works, using 3D terrestrial survey technologies for measurements in convenient deformation networks. The design of an optimal type of deformation model for various kinds of landslides and their exact processing with an efficient testing procedure to determine the kinematics of the slope deformations are presented too

Fusion of IMU and Vision for Absolute Scale Estimation in Monocular SLAM

The fusion of inertial and visual data is widely used to improve an object's pose estimation. However, this type of fusion is rarely used to estimate further unknowns in the visual framework. In this paper we present and compare two different approaches to estimate the unknown scale parameter in a monocular SLAM framework. Directly linked to the scale is the estimation of the object's absolute velocity and position in 3D. The first approach is a spline fitting task adapted from Jung and Taylor and the second is an extended Kalman filter. Both methods have been simulated offline on arbitrary camera paths to analyze their behavior and the quality of the resulting scale estimation. We then embedded an online multi rate extended Kalman filter in the Parallel Tracking and Mapping (PTAM) algorithm of Klein and Murray together with an inertial sensor. In this inertial/monocular SLAM framework, we show a real time, robust and fast converging scale estimation. Our approach does not depend on known patterns in the vision part nor a complex temporal synchronization between the visual and inertial senso

The application of open-source and free photogrammetric software for the purposes of cultural heritage documentation

The documentation of cultural heritage is an essential part of appropriate care of historical monuments, representing a part of our history. At present, it represents the current issue, for which considerable funds are being spent, as well as for the documentation of immovable historical monuments in a form of castle ruins, among the others. Non-contact surveying technologies – terrestrial laser scanning and digital photogrammetry belong to the most commonly used technologies, by which suitable documentation can be obtained, however their use may be very costly. In recent years, various types of software products and web services based on the SfM (or MVS) method and developed as open-source software, or as a freely available and free service, relying on the basic principles of photogrammetry and computer vision, have started to get into the spotlight. By using the services and software, acquired digital images of a given object can be processed into a point cloud, serving directly as a final output or as a basis for further processing. The aim of this paper, based on images of various objects of the Slanec castle ruins obtained by the DSLR Pentax K5, is to assess the suitability of different types of open-source and free software and free web services and their reliability in terms of surface reconstruction and photo-texture quality for the purposes of castle ruins documentation

Processing of a geodetic network determined in ETRS-89 with application of different cofactors

At present, manufacturers characterize the accuracy of vectors measured by the static method of GNSS technology usingrelationship 5 mm + 1⋅ D ppm . The advantage of the GNSS system over other terrestrial technologies is that it is not affectedby uncertainties in the ground layers of the atmosphere. The paper presents experimental measurement of the 3D geodetic network usingthe technology of global navigation satellite systems, processing and analysis of measurements taken at the Čierny Váh pumping hydropowerstation. Observations were carried out in July 2008. The aim of the paper is to assess parameters used in the model to estimateparameters of the first and second order of the network structures