Unsupervised Roofline Extraction from True Orthophotos for LoD2 Building Model Reconstruction

This paper discusses the reconstruction of LoD2 building models from 2D and 3D data for large-scale urban environments. Traditional methods involve the use of LiDAR point clouds, but due to high costs and long intervals associated with acquiring such data for rapidly developing areas, researchers have started exploring the use of point clouds...

City3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds

We present a fully automatic approach for reconstructing compact 3D building models from large-scale airborne point clouds. A major challenge of urban reconstruction from airborne LiDAR point clouds lies in that the vertical walls are typically missing. Based on the observation that urban buildings typically consist of planar roofs connected...

Quality assessment of a nationwide data set containing automatically reconstructed 3d building models

Fully automated reconstruction of high-detail building models on a national scale is challenging. It raises a set of problems that are seldom found when processing smaller areas, single cities. Often there is no reference, ground truth available to evaluate the quality of the reconstructed models. Therefore, only relative quality metrics are...

Building outline extraction from als point clouds using medial axis transform descriptors

Automatic building extraction and delineation from airborne LiDAR point cloud data of urban environments is still a challenging task due to the variety and complexity at which buildings appear. The Medial Axis Transform (MAT) is able to describe the geometric shape and topology of an object, but has never been applied for building roof...

The determination of the feasibility of a 'Sand Breakwater' on the Nigerian coastline at Badagry

The coastal waters of Nigeria are a difficult environment to build structures to control the local morphology and hydrodynamic conditions to ones desire. This difficulty is a consequence of the persistent high-energy swell wave climate and Longshore Sediment Transport (LST) in the order of one million cubic metres per<br/>year. Besides these...

Business models for building material circularity: Learnings from frontrunner

One of the expected key outcomes of the Horizon 2020 BAMB (Buildings As Material Banks) project is new business models for material circularity. The team has interviewed four “frontrunner” cases which have pioneered in incorporating elements of building circularity. The study included well-known cases such as the new Venlo city hall (the...

Circular economy and design for change within the built environment: preparing the transition

The built environment is considered as a key sector in which circular economy can be implemented. Within the H2020 project “Building as Material Banks” (BAMB), two innovative solutions are being forward to support this transition: i.e. Materials Passports and Reversible Building Design Protocols. Based on desk research and interviews with...