3D breakline extraction from point clouds with the Medial Axis Transform

This project develop a new method to generate breakline from the point cloud directly with the MAT. The breakline is a structured line of the object surface which has high curvature. Meanwhile, the reciprocal of the medial edge ball's radius can represent the point with high curvature, which is the fundamental idea of this project. The key parts...

Visibility Analysis in a Point Cloud based on the Medial Axis Transform

This thesis proposes a novel medial axis transform (MAT) based method to achieve visibility analysis in a point cloud. There are several advantages of this MAT based method. This method avoids surface reconstruction from a point cloud. It also works for the situation when there is surface missing in the input point cloud. For different point...

Project management in circular building projects: Developing a framework supporting the re-use of components

The environmental pressure on the planet and its limited capacities has resulted in the need for new building methodologies that respect this limited capacity. Building methods based on the principles of the Circular Economy could pose an answer to this problem. However, limited knowledge and tools are available to bring this into practice. This...

Automated railway object mapping using imagery and point clouds

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...

BIM and 3D City Models as Input for Microclimate Simulation

Climate change, and the effect it has on our lives and the world, has been at the centre of debate in the past decades. Also in architecture and urban planning fields, the effect of climate on buildings and cities has always had a role in the design process, nowadays especially when it comes to sustainability related topics. An interesting...

Development and Testing of the CityJSON Energy Extension for Space Heating Demand Calculation

3D city models are frequently used to acquire and store energy-related information of buildings to be used in energy applications, such as solar potential analyses and energy demand calculations. In this context, the most common data model is CityGML, which provides an application domain extension called the Energy ADE to store energy-related...

Predicting sedimentation in Lake Alajuela: Constructing a machine learning pipeline to predict morphological behavior in the man-made Lake Alajuela reservoir

To keep the Panama Canal operational year round, the water level in the canal is maintained above the minimum depth. As water is passed through the locks and into the oceans on either side, the canals main reservoir looses fresh water, and this water is then replaced by the canals secondary reservoir which is Lake Alajuela. The Lake Alajuela...

From GIS to 3D flow simulations in urban environments

Urban physics is a multi-scale and interdisciplinary field, that combines science and engineering for the study of physical processes in urban areas. Computational Fluid Dynamics (CFD) is considered a powerful tool for the study of these processes. In the context of microscale phenomena these processes refer to the transfer of heat and mass in...

Canopy gap fraction estimation from ICESat-2 ATL08 product

With the increasing pressure on global forests due to deforestation and habitat loss, it is more important than ever to understand our forest ecosystems on a larger scale. Canopy gap fraction is an indicator used for estimating forest biomass and better understanding of ecosystem functioning. For decades there have been research on computing...

Correcting Global Elevation Models for Canopy and Infrastructure Using a Residual U-Net

Digital Surface Models (DSMs) are commonly employed to investigate topographical characteristics and processes; however, the presence of canopy and infrastructure in urban and forested areas can lead to height biases and inaccuracies. In this study, I aim to correct such biases by applying a deep learning approach known as Residual U-Net to...

Semantically-Guided 3D Building Facade Reconstruction: A Learning-Based MVS Approach

This thesis introduces a Learned-Based Multi-View Semantic Stereo method, addressing the limitations of traditional and learned-based Multi-View Stereo (MVS) techniques in reconstructing reflective and low-textured regions, particularly prevalent in 3D models of buildings. Traditional methods lack completeness, while learned-based methods...

Urban computational fluid dynamics simulations set-up validations

Computational Fluid Dynamics (CFD) simulations for residential areas are becoming increasingly important as the urban population keeps growing and extreme weather conditions due to climate change are becoming more prevalent. Since CFD simulations simulate and visualise fluid flows, users can analyse and predict air flows in urban environments,...

Visualizing massive computation fluid dynamic outputs in game engines using voxelization and dynamic loading

Computation Fluid Dynamics (CFD) simulations are used in a diverse set of fields such as aerodynamics, automotive, biomedical engineering and wind impact. With the advancements in technology the scale of these simulations has increased significantly. This has resulted in \textit{massive} CFD simulations --- simulations that do not fully fit...