Pointcloud based anatomy: Synthesis project report

The declining availability of practical hours for medical anatomical education has prompted Enatom to develop a digital anatomical platform, utilizing the open-source WebGL-based point cloud renderer Potree. This platform, which employs detailed point cloud scans of anatomical structures, aims to offer a dynamic and interactive educational...

“Adsum ergo sum.” I am here, therefore I am: Indoor localisation for blind people with use of LiDAR scanning and ArcGIS Indoors

Blind and visually impaired people currently have inconveniences locating themselves in the indoor environment. No standardized system exists for them yet. After an inventory of the requirements of blind people, different representations do qualify for providing specific information blind people need. The main research question is: "How can...

Inferring roof semantics for more accurate solar potential assessment

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...

3D Representations for Visual Insight

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...

Tree Reconstruction from a Point Cloud using an L-system

Storing accurate models of complex geometries in a compact way has become an increasingly challenging issue, especially when dealing with large datasets. One of such datasets is Cobra-Groeninzicht's database of all trees in the Netherlands. In the gaming industry, a new technique is being used to generate tree models: the L-system. An L-system...

Grand Bahama after Hurricane Dorian: Interdisciplinary approach to Build Back Better

In collaboration with the University of the Bahamas, we used the Charette model, the Three-point Approach and the conceptual framework: Build Back Better to propose a solution that involves several aspects: Reduced risk overall, increased social cohesion on the island, improved life quality and reduced costs during reconstruction in the...

SCIPoC: Semantic Classification of Indoor Point Cloud: A study into the possibilities of classifying indoor point cloud using a Deep Learning approach

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...

Semantic Segmentation of AHN3 Point Clouds with DGCNN

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...

A way to store, query, update an InSAR spatiotemporal dataset

In SAR interferometry, the data acquired by satellite are large. The points in the dataset are usually expressed in spatial-temporal dimension in which many epochs may be included. Extra information including contextual values and data from other sources sometimes are important to be taken into account when analyzing the deformation based on the...

Random Forest Classification of three different species of trees in Delft, based on AHN point clouds: Additional Thesis

Trees are an important aspect of the world around us, and play a sufficient role in our daily lives. They contribute to human health and well-being in various ways. Tree inventory and monitoring are of great interest for biomass estimations and changes in the purifying effect on the air. It is a very time consuming and cost inefficient way to...

Automatic generation of floor plans for indoor navigation using point cloud

This paper describes a methodology for an automated floor plan generation using point cloud captured via Mobile Laser Scanner(MLS) for indoor navigation purposes. The method takes as input a 3D point cloud and using geometrical features, a<br/>ground plane histogram is computed representing the points density using projection. Finally using edge...

Web based visualisation of 3D radar and LiDAR data

To improve the interpretation of the low density InSAR data a combination is made with high density airborne and terrestrial laser scanner data. Allowing for improvement of the positioning of the scatterers and the understanding of their behaviour. This combination is implemented as a web application, suitable for researchers to create 3D...

Project Point Pedro: A multidisciplinary design study of the Point Pedro fishery harbour

In Sri Lanka, the government and the Liberation Tigers of Tamil Eelam waged a civil war between 1983 and 2009. During this period the social and economic development in the north and east of the country was disrupted. Due to this disruption a development opportunity for this region is the expansion of the fishery industry. In 2016, the Sri...

Towards point cloud harmonization: Harmonization of point cloud datasets with varying coordinate reference systems

This paper has its focus on the accessibility, interoperability and quality of different point cloud datasets. The main objective of the project is to research the process of harmonizing point cloud datasets of different origins and to incorporate the integrated datasets in a web viewer that allows for visualization and analysis. As a case study...

Chronocity: Technical Report Towards an Open Point Cloud Map supporting on-the-fly change detection

We are now gradually entering the era of big data - maybe a bit too much of a buzzword, but it is not lied. Technology is evolving fast, enabling faster and more efficient data acquisition, storage, retrieval and processing. Point cloud datasets are such a type which relies on large files and lots of processing power. The rather fast evolutions...

A vario-scale approach that improves integration of point clouds with different point densities

Point clouds are becoming one of the most common ways to represent geographical data. The scale of acquisition of point clouds is growing steadily. However, point clouds are often very large in storage size and require computationally intensive operations. The integration of point clouds nowadays still face a lot of challenges. This project...