Searched for: subject%3A%22Point%255C%2BClouds%22
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Bai, Qian (author)
Roads in modern cities facilitate different types of users, including car drivers, cyclists, and pedestrians. These different users often have a designated section of the road to operate on. Road management, e.g., by municipalities, needs to take this sectioning into account, preferably in an efficient way. Mobile laser scanning (MLS) point...
master thesis 2021
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Apra, Irène (author), Bachert, Carolin (author), Caceres Tocora, Camilo (author), TUFAN, ÖZGE (author), Veselý, Ondrej (author)
Led in cooperation with the company Brink, who provides management and consultation services for construction and real estate sectors, this Synthesis Project aims at automatically deriving meaningful information about buildings. More precisely, the focus is to automatically detect roof obstacles - such as dormers, chimneys, and solar panels - to...
student report 2021
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Chen, Zhaiyu (author)
Three-dimensional building models play a pivotal role in shaping the digital twin of our world. With the advance of sensing technologies, unprecedented data acquisition capabilities on capturing the built environment have surfaced, with photogrammetry and light detection and ranging being the two important sources, both of which can acquire...
master thesis 2021
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FU, RUNNAN (author), JIN, Yuzhen (author), LIU, ZHENYU (author), Mainelli, Xenia Una (author), PAPAKOSTAS, THEODOROS (author), Wang, Linjun (author)
As a method that can accurately represent 3D spatial information, point cloud visualisation for indoor environments is still a relatively unexplored field of research. Our client for this project, the Dutch National Police, requested a variety of potential solutions for visualising (unfamiliar) indoor environments that can be viewed by both...
student report 2021
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Kenesei, Kristof (author)
This research concerned the design and implementation of a system to perform the 3D conversion of a national road network using airborne Lidar data and land-based road elevation measurements, preserving its topology and quantifying output elevation accuracy. While the system was designed with generality in mind, specific Dutch open data datasets...
master thesis 2021
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Vogiatzis, Anastasios (author)
Everything around us is rapidly changing. Whole new blocks of buildings are built, huge infrastructural projects are constructed and so on. Hence, there is a need of a reliable and up-to-date inventory of the area and the objects of interest for mapping and monitoring assets and their changes. An answer of this upcoming need is an automated...
master thesis 2021
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Papalexiou, Annie (author)
Although monitoring and maintenance of railways is important to ensure safety and avoid delays and financial losses, it is still mainly based on human inspection. The complexity of a railway along with the large area it extends makes manual monitoring difficult and time-consuming. The increasing availability of 3D acquisition technologies has...
master thesis 2021
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Adambakkam Prakash Babu, Diwakar (author)
The idea of autonomous driving was merely just a dream about 5 years<br/>ago but now, with the advancements in technology, it has become prevalent.<br/>The aim of this thesis is to provide a low-cost approach for detecting and<br/>tracking moving objects from a moving platform. This could be used for<br/>an autonomous vehicle to automatically...
master thesis 2021
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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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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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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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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
Searched for: subject%3A%22Point%255C%2BClouds%22
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