Shape-guided artistic route finding

Creating GPS art on the map is an interesting way to make one’s outdoor activity more engaging. Cyclists, runners and hikers can create impressive drawings on the map by traversing the road/pedestrian network in a carefully planned way. Such planning, however, is often tedious and time consuming, which makes the GPS artists have to meticulously...

Efficient Solar Potential Estimation of 3D Buildings: 3D BAG as use case

Solar energy is an important renewable energy source that is already generated by millions of solar panels attached to building roofs throughout The Netherlands. Whether a roof is suitablefor solar panels relies on its type, orientation and whether it is put in shadow by a neighbouring object. This means, the higher the solar potential of a roof...

Automatic building feature detection and reconstruction in IFC models

The flexibility of the Industry Foundation Classes (IFC) format makes it challenging to blindly rely on the data it stores. This is because, to allow its flexibility, the stored data in an IFC file can be missing, incorrect, redundant, or stored in vague ways while the file can still be considered format compliant. This missing reliability is an...

Measuring Daylight: the New European Standard and the effect on Green Building Certificates: A study about the effect of EN-17037 on green certificates

In 2018, a new standard was released for daylight in buildings: EN 17037. This is the first standard for daylight in buildings for Europe. In the Netherlands it will replace the NEN 2057. The determination method for daylight provision for EN 17037 is based on internal illuminance. Additional ambitions for the design quality factors: view,...

Automated Semantic Segmentation of Aerial Imagery using Synthetic Data

Semantic segmentation of aerial images is the ability to assign labels to all pixels of an image. It proves to be essential for various applications such as urban planning, agriculture and real-estate analysis. Deep Learning techniques have shown satisfactory results in performing semantic segmentation tasks. Training a deep learning model is an...

Generating consistent triangular terrain elevation data for noise modelling: Master thesis Geomatics

In 2016, a collaboration between the TU Delft, RIVM and a few other companies started to automate the generation of environmental input data for noise modelling.<br/>As a part of that cooperation a promising triangle based data structure is researched to represent terrain elevation.<br/>Due to the properties of its generation it can provide...

Green Light District: Energy renovation of monumental buildings

By 2050 the municipality of Amsterdam plans to become climate neutral. The historic city center of Amsterdam poses a challenge in this ambition, as it is home to numerous monumental buildings. Conservation is the starting point for the renovation of monumental buildings and consequently additional regulations are in place. Furthermore, each...

Constructing a digital 3D road network for The Netherlands

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...

Automatic detection of waterbeds in shallow muddy water bodies in the Netherlands using green LiDAR

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 ...

Using CityGML EnergyADE Data in Honeybee

Urban energy simulation is becoming more and more important in various areas like urban planning, architecture design and city management. It provides quantified insights for architects and governors to deliver energy-efficient approaches. There are already quite a few energy simulation software or engines on the market. Among these tools,...

Predicting noise nuisance from outdoor music events in the built environment

Noise nuisance caused by outdoor music events has become a heavily discussed<br/>issue in metropolitan environments such as Amsterdam. The main objective of this research is to lay the foundation for a map that effectively disseminate noise information and facilitates well-informed decision making concerning the impact and assessment of outdoor...