Leibniz Universität Hannover Faculty Faculty of Civil Engineering and Geodetic Science
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Geodetic Institute
 
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Abschlussarbeiten

Offene Abschlussarbeiten

Auf dieser Seite sind offene Abschlussarbeiten für Bachelor- und Masterstudierende aufgelistet. Individuelle Änderungen an den einzelnen Themen sind möglich, aber mit der jeweiligen Betreuungsperson abzusprechen. Zusätzlich gibt es die Möglichkeit, eine Abschlussarbeit über ein selbst gewähltes Thema anzufertigen. Das Thema ist hierfür mit einem Mitarbeitenden genauer abzustimmen.

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Laufende & abgeschlossene Abschlussarbeiten

OFFENE BACHELORARBEITEN

  • Time series forecasting using Matlab toolbox
    In this bachelorthesis, you will have the opportunity to work on forecasting time series using Matlab toolbox. Forecasting involves taking models fit on historical data and using them to predict future observations. It can be used in a geodetic context to predict, e.g., deformation such as crustal deformation from GPS coordinates time series. An important particularity in forecasting is that the future is completely unavailable and must only be estimated from what has already happened.
    Looking after: Gaël Kermarrec
    Year: 2021
  • Noise classification from geodetic time series using random forest and deep learning
    In this bachelorthesis, you will have the opportunity to work on classifying the noise of time series using deap learning strategies such as random forest. The noise of time series is seldom normal distributed: assessing its correlation structure as accurately as possible is of main importance for geodetic applications, may it be for uncertainty modelling, forecasting, testing of deformation etc.
    Looking after: Gaël Kermarrec
    Year: 2021
  • Abschlussarbeit im Bereich Ingenieurgeodäsie
    Neben den aktuellen projektspezifischen Aufgabenstellungen haben wir auch immer weitere spannende Themen aus dem Bereich der Ingenieurgeodäsie, welche im Rahmen von einer Bachelor-/Masterarbeit bearbeitet werden können.
    Looking after: Sören Vogel, Jens Hartmann
    Year: 2021
    © GIH / U. Stenz

OFFENE MASTERARBEITEN

  • Deformation analysis from 3D printed surfaces
    In this masterthesis, you will have the opportunity to work on deformation analysis based 3D printed surfaces. You will gain experiences in measuring with Terrestrial Laser Scanner as well as in using software such as cloud compare on the highly relevant topics of surface fitting and (statistical) testing of deformation. The work includes: the printing of the surfaces, measurements with a TLS under different scanning configuration and settings, the processing of the point clouds, the approximation with T-splines, the set up of statistical tests potentially including stochastic information, the impact of data gaps/shading/mixed pixel on the approximation and comparison with usual methods with some recommendations. We provide the Matlab functions for surface fitting. We have experience in 3D printing the surfaces but could search for other printing methods. You need a great sense of creativity and humor.
    Looking after: Gaël Kermarrec
    Year: 2021
  • Big data surface approximation from TLS point clouds
    Terrestrial laser scanners generate millions of points that have to be processed efficiently for visualisation or deformation analysis. The relatively new domain of surface fitting in geodesy is gaining a high interest for many companies to meet the needs of their customers. This masterthesis deals to adress the problematic of fitting big data with iterative refinement algorithmus based on T-splines.
    Looking after: Gaël Kermarrec
    Year: 2021
  • Adaptive Kalman Filter
    Accurate estimation of the dynamic states of a synchronous machine (e.g., rotor’s angle and speed) is essential in monitoring and controlling transient stability of a power system. It is well known that the covariance matrixes of process noise (Q) and measurement noise (R) have a significant impact on the Kalman filter’s performance in estimating dynamic states. The conventional ad-hoc approaches for estimating the covariance matrixes are not adequate in achieving the best filtering performance. In this masterthesis, we want to investigate different methods for adaptive filtering for classical Kalman Filter and Extended Kalman Filter.
    Looking after: Gaël Kermarrec
    Year: 2021
  • Simultaneous internal and external calibration of LiDAR
    Nowadays, lots of different low-cost and precise sensors are used in different applications. There are always two important aspects, namely internal and external calibration of the sensor which must be done in any application before the sensor data be used in any data analysis. Internal calibration refers to estimating sensor biases and systematic errors and by external calibration, you find the 3D transformation of the sensor in a platform coordinate system.
    Looking after: Arman Khami
    Year: 2021
  • Internal and External calibration of Inertial Measurement Unit (IMU) in the Multi-Sensor Systems
    Sensors data fusion is an optimal way to overcome individual sensor limitations. In many various fields like Geodetic, Industry or Autonomous applications, Multi Sensor data usage is a common and most of the time necessary solution. However, the essential step before the Multi Sensor data fusion is to estimate the interior calibration parameters of each individual sensor and its spatial transformation parameters in the platform coordinate system or with respect to other sensors (External calibration).
    Looking after: Arman Khami
    Year: 2021
  • Abschlussarbeit im Bereich Ingenieurgeodäsie
    Neben den aktuellen projektspezifischen Aufgabenstellungen haben wir auch immer weitere spannende Themen aus dem Bereich der Ingenieurgeodäsie, welche im Rahmen von einer Bachelor-/Masterarbeit bearbeitet werden können.
    Looking after: Sören Vogel, Jens Hartmann
    Year: 2021
    © GIH / U. Stenz

Last Change: 15.03.21 Print

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