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  • Hannover : Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover  (8)
  • 2020-2024  (8)
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  • 1
    Call number: S 99.0139(355)
    In: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover, Nr. 355
    Type of Medium: Series available for loan
    Pages: 210 Seiten , Diagramme
    ISBN: 978-3-7696-5264-2 , 9783769652642
    ISSN: 0065-5325
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover Nr. 355
    Language: German
    Note: Dissertation, Gottfried Wilhelm Leibniz Universität Hannover, 2019 , Inhaltsverzeichnis 1 Einleitung 1.1 Motivation und Zielsetzung 1.2 Gliederung 2 Mathematische Grundlagen 2.1 Freiform-Kurven 2.1.1 PolynomialeFunktionen 2.1.2 Splines 2.1.3 Stellgrößen 2.2 Schätztheorie 2.2.1 Methode der kleinsten Quadrate 2.2.2 M-Schätzung 2.2.3 Verschiedene (robuste) M-Schätzer 2.2.4 Lösungsalgorithmus für die M-Schätzung 3 Modellierung und Schätzung von B-Spline-Kurven 3.1 Modellwahl 3.1.1 Informationskriterien 3.1.2 Hypothesentests 3.1.3 Structural Risk Minimization 3.1.4 Zusammenfassung Modellwahl 3.2 Parametrisierung 3.2.1 Deterministische Methoden 3.2.2 Iterative Methoden 3.2.3 Zusammenfassung Parametrisierung 3.3 Knotenvektorwahl 3.3.1 Deterministische Methoden 3.3.2 Heuristische Methoden 3.3.3 Zusammenfassung Knotenvektorwahl 3.4 KontrollpunktSchätzung 3.4.1 Reine Kontrollpunktschätzung 3.4.2 Erweiterte Kontrollpunktschätzung 3.4.3 Zusammenfassung Kontrollpunktschätzung 4 Methodische Innovation Knotenvektorwahl 4.1 Residuenbasierter Iterativer Update (RIU) Algorithmus 4.1.1 Methodik. 4.2 Evolutionäre Monte-Carlo (EMC) Methode 4.2.1 Methodik 4.2.2 Parameterwahl 4.3 Elitärer genetischer Algorithmus 4.3.1 Methodik 4.3.2 Modifikationen 4.3.3 Parameterwähl 5 Numerische Beurteilung und Validierung der Knotenvektorwahl 5.1 Simulation 5.1.1 Ablauf der Simulation 5.1.2 Testdatensätze 5.1.3 Rauschmodell 5.2 Konvergenzverhalten der verschiedenen Modifikationen beim EGA 5.3 Präzision und Richtigkeit der verschiedenen Methoden zur Knotenvektorwahl 5.3.1 Ergebnisse 5.3.2 Zusammenfassung 5.4 Sensitivitätsanalyse der Kontrollpunktschätzung 5.4.1 Ergebnisse 5.4.2 Zusammenfassung 5.5 Abweichende Modellwahl 5.5.1 Ergebnisse 5.5.2 Zusammenfassung 5.6 Reale Datensätze - Kreuzvalidierung 5.6.1 Datensätze 5.6.2 KreuzValidierung 5.6.3 Ergebnisse 5.6.4 Zusammenfassung 6 Numerische Beurteilung der B-Spline-Approximation bei Ausreißern 6.1 Rauschmodelle 6.2 Ergebnisse Knotenvektormethoden 6.2.1 Zusammenfassung 6.3 Sensitivitätsanalyse der Kontrollpunktschätzung bei ausreißerbehafteten Datensätzen 6.4 Belastbarkeit der Schätzer 6.4.1 Zusammenfassung 7 Fazit und Ausblick 7.1 Fazit 7.2 Ausblick A Anhang A.l Simulierte B-spline Kurven A.2 Numerische Beurteilung und Validierung der Knotenvektorwahl A.3 Numerische Beurteilung der B-Spline-Approximation bei Ausreißern Literaturverzeichnis Abbildungsverzeichnis Tabellenverzeichnis Algorithmenverzeichnis Lebenslauf , Kurzfassungen in deutscher und englischer Sprache
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  • 2
    Call number: S 99.0139(351)
    In: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover, Nr. 351
    Type of Medium: Series available for loan
    Pages: xxix, 177 Seiten , Illustrationen, Diagramme
    ISSN: 0174-1454
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover Nr. 351
    Language: English , German
    Note: Dissertation, Gottfried Wilhelm Leibniz Universität Hannover, 2019 , Contents 1. Introduction 1.1. Motivations and background 1.2. Research hypotheses and aims 1.3. Outline of this work 2. Fundamentals and theory of seismic noise 2.1. Fundamentals of mechanical vibration 2.1.1. Theory of oscillation 2.1.1.1. Oscillation and waves 2.1.1.2. Standing waves and resonance 2.1.1.3. Types of noise 2.1.1.4. Signal-to-Noise Ratio 2.1.2. The oscillatory systems 2.1.2.1. Mass-Spring-Damper model 2.1.2.2. Equation of motion 2.1.2.3. Free damped oscillation 2.1.2.4. Forced damped oscillation 2.1.3. Modal analysis 2.1.3.1. Fourier transform 2.1.3.2. Windowing 2.1.3.3. Averaging and overlapping 2.1.4. Data evaluation 2.1.4.1. Presenting spectra and spectral densities 2.1.4.2. RMS value in the frequency domain 2.1.4.3. Transfer function 2.1.4.4. Spectrogram 2.2. Seismic noise sources 2.2.1. Natural sources 2.2.1.1. Geodynamical aspects 2.2.1.2. Geological aspects at Hamburg, DESY 2.2.2. Human-made sources 2.2.2.1. Impact by stationary objects 2.2.2.2. Impact by traffic on site, machines and human work 2.2.2.3. Technical devices in the laboratory 2.3. Methods of seismic isolation 2.3.1. Passive constructions 2.3.1.1. Principle of a simple pendulum 2.3.1.2. Principle of a spring pendulum 2.3.1.3. The inverted pendulum concept 2.3.1.4. The anti-spring concept 2.3.1.5. The harmonic oscillator as transfer function 2.3.2. Control theory 2.3.2.1. Simple controller 2.3.2.2. Feed-forward controller 2.3.2.3. Feedback controller 2.3.2.4. Combined controller 3. The Any Light Particle Search experiment 3.1. ALPS and its seismic noise requirements 3.1.1. The physics of ALPS 3.1.2. Optical resonators 3.1.3. Control loop design 3.1.4. Frequency region and absolute length requirements 3.1.5. Infrastructure and status 3.2. Tools and techniques used for seismicmeasurements, analyses, and isolations 3.2.1. Seismic measuring instruments 3.2.1.1. Seismometers 3.2.1.2. Acquisition devices 3.2.1.3. Selected measurement chain 3.2.2. Data management and analyses 3.2.2.1. Notations for documentation 3.2.2.2. Analysing procedure 3.2.3. Finite Element Method simulation 3.2.3.1. Simple isolation simulations 3.2.3.2. Over-determined isolation systems 3.2.3.3. Selected FEM tools 4. Seismic noise analysis 57 4.1. Method of frequency-weighted and averaged FFT 4.1.1. Problem definition and motivation 4.1.2. The solution approaches 4.1.2.1. Stitching 4.1.2.2. LPSD 4.1.2.3. New solution approach 4.1.3. The MfwaFFT algorithm 4.1.3.1. Data preparation 4.1.3.2. FFT generation 4.1.3.3. Windowing of the iteration steps 4.1.3.4. Weighting 4.1.3.5. Summing up 4.1.4. Advantages and disadvantages 4.1.5. Discussion in the field of geodesy 4.2. Measurement Preparation 4.2.1. Calibration of seismic devices 4.2.1.1. Single instruments 4.2.1.2. Cross-calibration 4.2.2. Accuracy analysis 4.2.2.1. Measuring device accuracy and precision 4.2.2.2. Digital uncertainties and errors 4.3. Seismic measurements on-site 4.3.1. On-site noise conditions (HERA) 4.3.1.1. ALPS IIa laboratory (HERA West) 4.3.1.2. ALPS IIc site (HERA North) 4.3.1.3. Reference (HERA South) 4.3.2. Optic-related components of the ALPS II experiment 4.3.2.1. Optical tables 4.3.2.2. CBB and mirror mountings 4.3.3. Associated noise sources 4.3.3.1. Dipole magnet girders 4.3.3.2. Filter Fan Units 4.4. Filtering of signal 4.4.1. Spatial transfer functions 4.4.2. Low-pass filter due to the cavity pole frequency 4.4.3. Filter by the control loop 4.5. Data evaluation 4.5.1. Specifications for the ALPS IIa isolation 4.5.2. Specifications for an ALPS IIc isolation 4.5.3. Specifications for a JURA isolation 5. Development of seismic isolation systems 5.1. Procedure for handling seismic noise and isolation problems 5.2. State-of-the-art seismic isolation concepts 5.2.1. The LIGO system 5.2.2. The VIRGO system 5.3. Development of a seismic isolation system 5.3.1. CAD draft of a test model 5.3.2. FEM simulations 5.3.3. Design drawing 5.3.4. Evaluation and validation 5.4. Seismic isolation concept for ALPS IIc and JURA 6. Conclusion 6.1. Summary 6.2. Outlook , Sprache der Zusammenfassungen: Englisch, Deutsch
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  • 3
    Series available for loan
    Series available for loan
    Hannover : Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover
    Associated volumes
    Call number: S 99.0139(374)
    In: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover
    Type of Medium: Series available for loan
    Pages: vi, 115 Seiten , Illustrationen, Diagramme, Karten
    ISSN: 0174-1454
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Universität Hannover Nr. 374
    Language: English
    Note: Contents 1 Introduction 1.1 LEO satellites 1.2 ESA Swarm mission 1.3 Objectives and structure of this work 2 GPS data quality analysis of the Swarm satellite formation 2.1 Fundamentals of GPS 2.2 Tracking performance 2.2.1 Receiver settings 2.2.2 Number of satellites tracked 2.3 Observation Analysis 2.3.1 Signal strength 2.3.2 Code noise 2.3.3 Carrier phase noise 2.4 Geometry-free linear combination 2.5 Cycle Slip Detection/Repair 2.6 Outlier detection 3 Kinematic orbit determination 3.1 Observation modeling 3.1.1 Precise Point Positioning 3.1.2 Batch least-squares adjustment 3.2 Kinematic orbit results 3.2.1 Validation with reduced-dynamic orbits 3.2.2 Validation with external kinematic orbits 3.2.3 Evaluation of orbit quality with residuals of observations 3.2.4 Validation with Satellite Laser Ranging 3.2.5 Validation with gravity fields 3.2.6 Receiver clock 3.3 Covariance Information 4 Kinematic baseline determination 4.1 Relative positioning models 4.1.1 Single-difference model 4.1.2 Double-difference model 4.1.3 Processing strategy using LSA 4.2 Kinematic baseline results 4.2.1 Comparing PPP and DD float baseline 4.2.2 Comparing baselines with float and fixed ambiguities 5 Kinematic velocity determination 5.1 Observation modeling 5.2 Kinematic velocity results 6 Analysis and mitigation of ionospheric scintillation effects 6.1 Ionospheric scintillations characterized by the Swarm satellites 6.2 Phase tracking loop 6.3 Mitigation of high-frequency noise over the polar areas 6.4 Mitigation of tracking errors over the equatorial areas 7 Conclusions , Sprache der Kurzfassungen: Englisch, Deutsch
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  • 4
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    Hannover : Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover
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    Call number: S 99.0139(371)
    In: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover
    Type of Medium: Series available for loan
    Pages: xi, 127 Seiten , Illustrationen, Diagramme
    ISBN: 978-3-7696-5284-0 , 9783769652840
    ISSN: 0174-1454
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Universität Hannover Nr. 371
    Language: English
    Note: Contents 1 Introduction 1.1 Shared Space 1.2 Motivation and Research Objectives 1.3 Proposals and Contributions 1.3.1 Interaction Detection 1.3.2 Trajectory Prediction 1.4 Structure of the Thesis 2 Concepts of Deep Learning and Fundamental Methods for Behavior Modeling 2.1 Introduction to Deep Learning 2.1.1 Feed-Forward Network with Backpropagation 2.1.2 Convolutional Neural Network 2.1.3 Recurrent Neural Network 2.2 Approaches for Object Detection and Classification 2.2.1 You Only Look Once 2.2.2 Multi-Level Feature Pyramid Network 2.3 Optical Flow 2.4 Spatial Clustering 2.5 Transformer Encoder with Self-Attention 2.6 Conditional Generative Model 2.6.1 Variational Auto-Encoder 2.6.2 Conditional Variational Auto-Encoder 3 Related Work 3.1 Interaction Detectio 3.1.1 Collisions, Conflicts, and Interactions 3.1.2 Automated Detection Using Computer Vision Methods 3.2 Trajectory Prediction 3.2.1 Expert vs. Data Driven 3.2.2 State-of-the-Art Deep Learning Approaches 4 Methodological Contributions 4.1 Interaction Detection 4.1.1 Problem Formulation and the Proposed Model 4.1.2 Sequence-to-Sequence Processing 4.1.3 Estimation of Uncertainty 4.1.4 Feature Extraction 4.2 Trajectory Prediction 4.2.1 Problem Formulation and the Proposed Model 4.2.2 Trajectory Ranking 4.2.3 Feature Extraction 5 Interaction Detection 5.1 Data Acquisition and Pre-processing 5.2 Experiments 5.2.1 Pipeline 5.2.2 CVAE Model for Interaction Detection 5.2.3 Baseline Model 5.2.4 Ablation Studies 5.2.5 Evaluation Metrics 5.3 Results 5.3.1 Quantitative Results 5.3.2 Qualitative Results 5.3.3 Analysis of the Results 5.4 Discussion 5.4.1 Failed Detection 5.4.2 Challenges of Cross-Dataset Generalization 5.5 Summary 6 Trajectory Prediction 6.1 Multi-Context Encoder Network 6.1.1 Framework 6.1.2 Experiments 6.1.3 Results 6.1.4 Discussion 6.1.5 Summary 6.2 Attentive Maps Encoder Network 6.2.1 Framework 6.2.2 Experiments 6.2.3 Results 6.2.4 Discussion 6.2.5 Summary 6.3 Dynamic Context Encoder Network 6.3.1 Framework 6.3.2 Experiments 6.3.3 Results 6.3.4 Discussion 6.3.5 Summary 7 Conclusion and Outlook 7.1 Conclusion 7.2 Outlook List of Figures List of Tables Acronyms Bibliography Acknowledgements Curriculum Vitae , Sprache der Kurzfassungen: Deutsch, Englisch
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  • 5
    Series available for loan
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    Hannover : Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover
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    Call number: S 99.0139 (368)
    In: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover
    Type of Medium: Series available for loan
    Pages: 189 Seiten , Illustrationen
    ISBN: 978-3-7696-5276-5
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover Nr. 368
    Language: German
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  • 6
    Call number: S 99.0139(356)
    In: Wissenschaftliche Arbeiten der Fachrichtung Vermessungswesen der Universität Hannover
    Type of Medium: Series available for loan
    Pages: x, 111 Seiten , Illustrationen, Diagramme
    ISSN: 0174-1454
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Vermessungswesen der Universität Hannover Nr. 356
    Language: English
    Note: Dissertation, Gottfried Wilhelm Leibniz Universität Hannover, 2020 , Abstract Zusammenfassung Acknowledgments Definition, Acronyms and Symbols 1 Introduction 1.1 Motivation 1.2 Person Re-Identification 1.3 Problem statement and research objective 1.4 Contribution 1.5 Outline of this thesis 2 Related work 2.1 Scope 2.2 Historical overview 2.3 Terminology and strategies 2.4 Handcrafted feature extraction methods 2.5 Data-driven feature extraction methods 2.6 Person view specific methods 2.7 Re-Ranking based methods 2.8 Domain adaptation methods 2.9 Discussion 3 Fundamentals 3.1 Fisheye camera geometry and projection model 3.2 Feature extraction 3.2.1 GOG/XQDA - a handcrafted feature extraction method 3.2.2 TriNet and SRNN - two data-driven feature extraction methods .... 4 A new approach for person re-identification 4.1 General overview 4.2 Input and assumptions 4.3 Projection alignment 4.4 View classification and sampling 4.5 Per-view matching 4.6 Fusion 4.7 Discussion of the approach 5 Experimental evaluation 5.1 General structure of this chapter 5.2 Multi-view investigations 5.2.1 Datasets 5.2.2 Training and inference procedure 5.2.3 Evaluation and discussion 5.3 Bird's eye view investigations 5.3.1 Datasets 5.3.2 Training and inference procedure 5.3.3 Evaluation and discussion 5.4 Influence of data 5.4.1 Datasets 5.4.2 Training and inference procedure 5.4.3 Evaluation and discussion 5.5 Fisheye investigations 5.5.1 Datasets 5.5.2 Training procedure 5.5.3 Projection alignment 5.5.4 Person view classification 5.5.5 Assessment of PRID results 5.5.6 Comparison with a contemporary approach 5.5.7 Qualitative comparison 6 Conclusions and future work A Datasets A.l Our novel datasets A.2 Public datasets References , Sprache der Zusammenfassungen: Englisch, Deutsch
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  • 7
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    Hannover : Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover
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    Call number: S 99.0139(394)
    In: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover, Nr. 394
    Type of Medium: Series available for loan
    Pages: 105 Seiten , Illustrationen, Diagramme
    ISSN: 0174-1454
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover Nr. 394
    Language: English
    Note: Dissertation, Gottfried Wilhelm Leibniz Universität Hannover, 2023 , Sprache der Zusammenfassungen: Englisch, Deutsch
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  • 8
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    Hannover : Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover
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    Call number: S 99.0139(373)
    In: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Universität Hannover
    Type of Medium: Series available for loan
    Pages: 135 Seiten , Illustrationen, Diagramme
    ISBN: 978-3-7696-5283-3 , 9783769652833
    ISSN: 0174-1454
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Universität Hannover Nr. 373
    Language: English
    Note: Contents 1 Introduction 1.1 Motivation and objective 1.2 Problem statement and contributions 1.3 Reader's guide 2 State of the art 2.1 Image features and relative orientation 2.2 Efficient image matching 2.2.1 Reduction of the number of features per image 2.2.2 Reduction of the number of image pairs 2.2.3 Other integrated methods 2.3 Incremental and hierarchical image orientation 2.3.1 Incremental image orientation 2.3.2 Hierarchical image orientation 2.4 Global image orientation 2.4.1 Outlier detection in relative orientation 2.4.2 Global rotation estimation 2.4.3 Global translation estimation 2.5 Alternative solutions for image orientation 2.6 Discussion 3 Preprocessing 3.1 Time efficient image matching based on a random k-d forest 3.1.1 Construction of the random k-d forest 3.1.2 Determination of overlapping image pairs 3.1.3 Clustering images and discarding single images 3.1.4 Determination of relative orientation parameters 3.2 Robustifying the ROs for robust global image orientation 3.2.1 Detecting and eliminating RO outliers by checking compatibility of triplets 3.2.2 Detecting and eliminating RO outliers due to repetitive structure 3.2.3 Detecting and eliminating RO outliers of very short baselines and baselines parallel to the viewing direction 3.2.4 Identifying correct ROs of baselines parallel to the viewing direction 3.3 Discussion 4 Global image orientation 4.1 General Overview 4.2 Global rotation estimation 4.2.1 Rotation preliminaries and problem statement 4.2.2 Robust solution of global rotations 4.2.3 Discussion 4.3 Global translation estimation 4.3.1 Problem statements and relevant function model 4.3.2 Determination of globally consistent scale factors 4.3.3 Solving global translations based on relative translations 4.4 Robust bundle adjustment 4.5 Discussion 5 Experimental setup 5.1 Objectives of the designed experiments 5.2 Test datasets 5.3 Free parameter settings 5.4 Evaluation strategy and criteria 5.4.1 Preprocessing steps 5.4.2 Global image orientation 6 Evaluation 6.1 Evaluation of preprocessing steps 6.1.1 Performance of overlapping pair determination 6.1.2 Performance of the robustification of ROs 6.2 Evaluation of global image orientation 6.2.1 Ordered datasets 6.2.2 Unordered datasets 6.2.3 Problematic datasets 6.3 Synthesis 6.3.1 Preprocessing steps 6.3.2 Global image orientation 7 Conclusion and Outlook Appendix A. Proposition for very short baselines B. Calculation of the discrepancy between relative orientation and ground truth exterior orientation parameters B.l Discrepancy with respect to relative rotations B.2 Discrepancy with respect to relative translations C. Calculation of the mean translation errors References
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