Searched for: subject:"points"
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Piguave Tomala, Janio (author)
Regular Cartesian grid models provide satisfactory numeric results when a numerical scheme for reservoir flow simulation is applied. However, they cannot recreate complex geological features existing in realistic reservoir models such as faults and irregular reservoir boundaries. Corner point grids can represent these geological characteristics...
master thesis 2020
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Meng, Fancong (author)
Localization is a problem of ’where we are’. Localization techniques help people understand their surrounding environment based on extracted position information in a geographic reference map. The development of global navigation satellite system (GNSS), light detection and ranging (LiDAR), computer vision (CV), etc., enables us to apply...
master thesis 2020
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Deng, Mutian (author)
This research is aimed to answer the main research question: to what extent we can use LiDAR point clouds directly in the PostgreSQL by means of FDW, and thus a FDW supporting the Point Cloud Data Management System is implemented. Then, the range and performance of its functionality are evaluated. The results shows this FDW solution is feasible...
master thesis 2020
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Zhang, Liyao (author)
Visualizing the point clouds is an integral part of processing the data, which enables users to explore and interact with the point clouds more intuitively. However, most of the current point cloud renderers are developed in non-immersive environments. In the last few years, some new technologies, such as Augmented Reality (AR), Virtual Reality ...
master thesis 2020
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Lee, Ching (author)
Within the context of Hong Kong, it is discovered that the extremely compressed landscape of Hong Kong gives rise to a potential that people would negotiate and define their territories through their habits. In a sense, the conventional practice of architecture in Hong Hong has been transformed and adapted to the notion of compression. Whereby,...
master thesis 2020
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Rustici, Pietro (author)
This study investigates whether an automatic anonymization algorithm that takes as input a 3D model of a human face can produce an output model exempt from General Data Protection Regulation (GDPR) biometric data definition. The algorithm first uses Random Sample Consensus (RANSAC) for registering the source point cloud globally to an oriented...
bachelor thesis 2020
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van der Sluis, Joram (author)
This master thesis presents an experimental study on 3D person localization (i.e., pedestrians, cyclists)in traffic scenes, using monocular vision and Light Detection And Ranging (LiDAR) data. The performance of two top-ranking methods is analyzed on the 3D object detection KITTI dataset. In this evaluation, the effect of the Intersection over...
master thesis 2020
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Dekker, Quinten (author)
Dense 3D modeling based on monocular visual data is a powerful process of gaining spatial 3D understanding from 2D observations. The use of visual data to reconstruct such 3D models is still a challenging topic. To obtain the accurate dimensions, additional metadata is required such as a GPS which is not always available. Besides this, dealing...
master thesis 2020
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Ackaert, G.E.L. (author)
For any space mission, the communication subsystem is an indispensable part of the satellite that carries the payload. Traditionally, on-board antennas transmitting Radio Frequency (RF) waves to the receiver have been used. Nowadays, laser communications is becoming increasingly popular due to its potential to become a license-free, secure and...
master thesis 2020
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Rootliep, T.O. (author)
In this thesis, a hybrid Gas Path Analysis (GPA) tool is developed for next-generation turbofan engine condition monitoring purposes at KLM Engine Services. The main drawback of these new engines is that fewer gas path sensors are installed. However, this is compensated by a greater quantity in-flight data, including information on bleed valves,...
master thesis 2020
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Alexandridis, Vasileios (author)
Bathymetric Airborne LiDAR technology is used to map the depth of water bodies. It uses a green light sensor which is able to penetrate the water surface and reach the bottom part of the interesting water areas. However, water conditions affect the capability of the green laser penetration. Factors such as the water clarity, the water turbidity ...
master thesis 2020
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Rebel, H.J.M. (author)
The rapidly aging Dutch baby boom generation threatens to overwhelm the healthcare system in the Netherlands (Hoedeman & Koki, 2020). The elderly, more than any other age group, are more prone to experiencing a steep decline in physical and cognitive health during hospitalization (Brown, 2020; Mathews, Arnold & Epperson, 2014). 61% of...
master thesis 2020
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Tseremoglou, I. (author)
Cargo airlines' Revenue Management (RM) departments oversee the acceptance/rejection process of incoming bookings. The overarching goal is to accept as many bookings as possible, hence maximizing profit, while avoiding overbooking and offloading of already accepted shipments, to ensure customer satisfaction. This whole process is characterized...
master thesis 2020
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Vooijs, I.C. (author)
Tetrahedron is working on a new design for large offshore cranes that can lift higher. This is necessary due to the increasing size of offshore wind turbines, and the inability of the conventional cranes to scale up without needing a larger ship that is carrying them. To compute the forces working on the trusses of the crane structure,...
master thesis 2020
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Smit, M. (author), Chen, Z. (author), Erbaşu, M.A. (author), Gaol, Y.A.L. (author), Li, X. (author)
With the constantly evolving range of applications for technology the quality and amount of data constantly increases as well. In this growing data environment, there is a constant search to provide more value to all data that is available for as little effort as possible. Our research tries to add such additional value by diving into the...
student report 2020
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Bai, Qian (author)
Semantic segmentation of aerial point clouds with high accuracy is significant for many geographical applications, but is not trivial since the data is massive and unstructured. In the past few years, deep learning approaches designed for 3D point cloud data have made great progress. Pointwise neural networks, such as PointNet and its extensions...
student report 2020
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Garg, Chirag (author)
3D indoor reconstruction has been an important research area in the field of computer vision and photogrammetry. While the initial techniques developed for this purpose use sensor devices and multiple images for data acquisition and extracting 3D information and representation of the scene, with the advent of deep learning techniques, there has...
master thesis 2020
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Oostwegel, Laurens (author)
Unlike outdoor environments, there is no wide-spread solution to positioning inside a building. Indoorsolutions rely on pre-installation of infrastructure, such as Bluetooth beacons or ultra-wide bandtechnology. Recently, there has been growing interest in the use of Augmented Reality (AR) for indoorpositioning. AR devices use an algorithm known...
master thesis 2020
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Dahle, Felix (author)
In many countries digital maps are created and provided by the national cadastres: Usually they consist of multiple polygons, each with an exact location and shape, describing which kind of surface can be found at the position of the polygon (e. g. building, street, vegetation). They must be accurate and well maintained, as they are used by...
master thesis 2020
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de Boer, Roderick (author)
This paper presents time-optimal transfer trajectories between planar solar-sail displaced libration point orbits around the $L_1$ and $L_2$ points of the Sun-Earth and Earth-Moon systems. Initial guesses for these transfers are generated as two-segment trajectories, with a fixed sail attitude along each segment. The position and velocity...
master thesis 2020
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