Integrate and store 3D roads and terrain for navigation purposes

Modern navigation heavily relies on Global Navigation Satellite Systems (GNSS) and digitized road network databases, but faces limitations in GNSS-denied areas and complex 2D road netowrks. This project addresses these challenges by developing a methodology to create and store a comprehensive 3D road and terrain dataset for enhanced navigation....

Snap rounding polygons with a triangulation

Geometric algorithms are usually designed based on the assumption of using arbitraryprecision representations. However, in modern computer systems floating-point arithmetic and finite-precision approximation are often used as implementing exact computations would require large computational resources and would be rather slow in the applications....

Extraction of Exterior Building Envelopes from Building Information Models

With the development of technologies and people’s raising standards for both indoor and outdoor environments, buildings have expanded their functionalities of merely being human’s everyday sheltering place. Common modern building applications include but are not limited to Building Energy Modelling (BEM), solar potential estimation, wind...

Floor count from street view imagery using learning-based façade parsing

Street view imagery (SVI) is one of the largest (growing) resources in urban analytics. A global close-up of the urban environment, if you will, which is rich in (untapped) information such as floor count. Floor count is useful in many applications, from improving energy consumption calculations to creation of 3D city models without elevation...

Geofront: Directly accessible GIS tools using a web-based visual programming language

In the field of Geographical Information Science (GIS), geodata transformation and analysis tools often take the shape of software libraries written in system level programming languages. <br/>However, the societal impact of these tools is often limited, as most end users only access these libraries via indirect means: Through bindings in other...

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...

Semantic segmentation of roof superstructures

Automated reconstruction of detailed semantic 3D city models is challenging due to the need for high-resolution (HR) and large-scale input datasets, the ambiguous definition of the ensuing model, the intricacy of the processing pipeline, and its costs. Furthermore, existing methods mainly focus on geometry rather than semantics. Detailed...

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...

Safety-driven road width estimations from vector data

In recent decades, it is well known that transportation systems have a crucial role in the economic development and social prosperity of modern societies. While road width can be considered as one of the most important factors of the road environments, there is no clear definition of it. To better understand this, we need to reconsider the width...

Finding the plastic hotspots with (GIS) data: Synthesis Project 2021

The plastic pollution of aquatic environment is undoubtedly an emerging environmental risk, as it negatively affects ecosystems globally to a great extent. To prevent the plastic soup from growing even further, a Delft-based start-up Noria has developed plastic collectors, to remove plastic from rivers and canals before it reaches the ocean. In...

Simplification & Visualization of BIM models through Hololens

Augmented Reality (AR) is the technology that superimposes digital generated objects on the physical world. It has the potential to create new products and services,like visualizing future buildings or objects that will decorate a place, which creates new opportunities for applications in both the public and private sector. The architecture and...

Change Detection in Forests Using Multi-Temporal High Density Airborne Laser Scanning Data

Remote sensing of forests with airborne laser scanning has been used increasingly in the last decades. Due to its capability to provide very detailed three-dimensional information on the structure of forests and individual trees it is very suitable to detect changes in forests. However, current change detection methods in this field often cannot...

Automatic enhancement of CityGML LoD2 models with interiors and its usability for net internal area determination

Where Level of Detail (LoD) allow City Geography Markup Language (CityGML) models to be shared over different application domains, only one LoD defines building interiors. As there are potentially numerous applications with a need for building interiors (but not with all the details as defined in LoD4), in order to attain a larger applicability...