Remote prediction of soil types: A working methodology to predict Unified Soil Classification System (USCS) classes based on total geological history

The Dutch Ministry of Defence is interested in developing a tool or workflow that can be used to remotely predict Unified Soil Classification System (USCS) classes of any area to aid mobility-related decisions. Therefore, this study was initiated by Cohere Consultants in collaboration with NEO, a Dutch remote sensing company and Utrecht...

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...

Bed Exit Prediction

This report presents a bed exit prediction model using a decision tree classifier, a machine learning method. This system is designed to alarm a caregiver in a nursing home to prevent bed­ falls among institutionalized elderly. For the input of this algorithm, features are derived from four force sensing resistor sensors and six piezoelectric...

Utilizing crosswise self-growing connection as load-bearing element in building design

Within the context of utilizing alternative materials to promote sustainable construction in the building industry, Living Architecture is a concept that uses living organisms as the building materials. As a rather unconventional approach, it possesses benefits such as low cost, not requiring considerable workforce or industrial material, carbon...

Machine learning and image analysis on photos of a solitary tree in a complex background: extraction and analysis of key properties for wind-tree interaction

A method is developed to automatically analyze over 200000 images of a single mature tree. This method is assessed and applied to a tree located at Risø in Roskilde, Denmark, next to two meteorological masts. Image aspects such as the surface area and the center of area are extracted from the images and they are related to the wind statistics....

Development of a Bayesian Decision Tree Model for Task Classification and its Validation on Parkinson’s Disease Patients

Freezing of Gait (FoG) is a debilitating walking problem affecting over 50\% of Parkinson's Disease (PD) patients. Rhythmic cues during FoG can help patients to resume walking. FoG can be detected from lower limb acceleration data, but current detection algorithms lack context, resulting in false positive detection and initiation of cues when...

Automatic construction of 3D tree models in multiple levels of detail from airborne LiDAR data

Automatically generated 3D city models are becoming less of a futuristic, demanding or even impossible to attain goal, and more of a necessary, or vastly sought after, means for a multitude of applications. The current prevalence of open geographic information, such as nationwide-covering LiDAR datasets in the Netherlands, opens up opportunities...

Accurate, Detailed and Automatic Tree Modelling from Point Clouds

Trees are of great significance throughout the world, both in urban scenes and in natural environments. Models of trees can be widely applied in various fields, for instance, landscape design, geo-simulation, environment modelling, and forestry inventories. Recently, laser scanning technology has been rapidly developed, making it possible to...

AdTree: Accurate, Detailed, and Automatic Modelling of Laser-Scanned Trees

Laser scanning is an effective tool for acquiring geometric attributes of trees and vegetation, which lays a solid foundation for 3-dimensional tree modelling. Existing studies on tree modelling from laser scanning data are vast. However, some works cannot guarantee sufficient modelling accuracy, while some other works are mainly rule-based and...