Image-based AI for Industrial Design: How aligning semantics among desingers helps them use AI tools more effectively

This research explores the opportunities and limitations of image-based AI tools for industrial design. In collaboration with designers at Royal Gazelle, several tools were tested. AI tools can broaden and speed up the creative processes but also lack control for the user. AI models and designers use different terms to articulate perceptions and...

Hierarchical Semantic Wave Function Collapse

Virtual worlds are rapidly increasing in size, enabled by advancements in computing technology, which puts a large burden on designers creating them.<br/>Procedural Content Generation can help alleviate this burden, though lacks precise control, to the detriment of designer intent. Some PCG algorithms, such as Wave Function Collapse (WFC), known...

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...

3D City Models in the Context of Urban Mining: A case study based on the CityGML model of Rotterdam

Recently, the application of machine learning and data fusion techniques on hyperspectral imagery have demonstrated potential for ground cover classification at material level. Hereby, specific locations of resources enclosed in cities (e.g. roof materials) can be identified, which is critically relevant within the field of urban mining. A...

Semantic enrichment of a point cloud based on an octree for multi-storey pathfinding

Acquiring point clouds of indoor environments became increasingly accessible in recent years. However, the resulting 3D point cloud data is unstructured, and does not contain enough information to be useful for complex tasks like pathfinding. Indoor models which are currently derived from point clouds do not include furniture and stairs. The...

Navigation to a human in motion by using points of interest

Navigating to a human target is underexposed in the current literature. However, there are cases where it is necessary to get to the moving target as fast as possible. This thesis supports navigation of a person to another person in motion that they lost or need. In this way, children, elderly, family, coworkers and friends could be found more...

The Static Semantics of the Green-Marl Graph Analysis Language: Formal Specification, Declarative Implementation and Integration with a Compiler Back-end

Green-Marl is a domain specific language for efficient graph analysis. In this thesis, we define the formal static semantics of the language and provide an implementation in the Spoofax language workbench. The type system of Green-Marl includes limited forms of name-dependent types, overloading, parametric polymorphism, and inference. We give a...

Virtual humans in games: Realistic behavior and emotions for non-player characters

In this project we have set out to promote behavioral-realism in non-player characters (NPCs) on an emotional level. We do this as a step towards a tool that will allow developers to build ?exible and scalable emotional behavior for NPCs and that could be used either in game-development applications or scienti?c psychological studies. In order...

Knowledge-based optimisation of three-dimensional city models for car navigation devices

Three-dimensional maps are deemed better for navigation purposes as they offer a larger number and more realistic navigation cues than two-dimensional maps. Improvements in two key technologies have opened the doors towards utilization of 3D maps for car navigation devices. Advances in data acquisition technologies and data processing methods...

Authoring Reusable Crowds using Semantics

In the field of video surveillance, a large problem is often the acquiring of video feeds of specific scenarios as test or training data. Even if privacy and safety concerns are not taken into account, it is often much cheaper to generate a virtual scenario rather than record one using real cameras, especially when the camera placement was not...

A Semantic Visual Text Abstract

Today’s readers want a personal, filtered text abstract that gives an objective insight in a book, instead of the current subjective blurb on a book backs. The abstract’s aim, is to analyze a book on a semantic level, showing more than just an analytic visualization of text. A semantic visual text abstract interprets text and returns a filtered...

Services in Game Worlds: A Semantic Approach to Improve Object Interaction

To increase a player's immersion in the game world, its objects should behave as one would reasonably expect. For this, it is now becoming increasingly clear that what game objects really miss is richer semantics, not eye-catching visuals. Current games' lack of semantics is mostly due to the complexity of designing semantic objects. If game...