The exploitation of offshore windfarms (WFs) goes hand in hand with large capital expenditures (C... more The exploitation of offshore windfarms (WFs) goes hand in hand with large capital expenditures (CAPEX) and operational expenditures (OPEX), as these mechanical installations operate continuously for multiple decades in harsh, saline conditions. OPEX can account for up to 30% of the levelised cost of energy (LCoE) for a deployed offshore wind farm. To maintain the cost-competitiveness of deployed offshore WFs versus other renewable energy sources, their LCoE has to be kept in check, both by minimising the OPEX and optimising the offshore wind energy production. As corrosion, in particular uniform corrosion, is a major cause of failure of offshore wind turbine structures, there is an urgent need for corrosion management systems for deployed offshore wind turbine structures (WTs). Despite the fact that initial corrosion protection solutions are already integrated on some critical structural components such as WT towers, WT transition pieces or WT sub-structure (fixed or floating platfo...
In this paper, we propose a framework for reconstructing a compact geometric model from point clo... more In this paper, we propose a framework for reconstructing a compact geometric model from point clouds of building interiors. Geometric reconstruction of indoor scenes is especially challenging due to clutter in the scene, such as furniture and cabinets. The clutter may (partially) hide the structural components of the interior. The proposed framework is able to cope with this clutter by using a hypothesizing and selection strategy, in which candidate faces are firstly generated by intersecting the extracted planar primitives. Secondly, an optimal subset of candidate faces is selected by optimizing a binary labeling problem. We formulate the selection problem as a continuous quadratic optimization problem, allowing us to incorporate a cost function specifically for indoor scenes. The obtained polygonal surface is not only 2-manifold but also oriented, meaning that the surface normals of each polygon are consistently oriented towards the interior. All adjacent and coplanar faces that w...
The extraction of permanent structures (such as walls, floors, and ceilings) is an important step... more The extraction of permanent structures (such as walls, floors, and ceilings) is an important step in the reconstruction of building interiors from point clouds. These permanent structures are, in general, assumed to be planar. However, point clouds from building interiors often also contain clutter with planar surfaces such as furniture, cabinets, etc. Hence, not all planar surfaces that are extracted belong to permanent structures. This is undesirable as it can result in geometric errors in the reconstruction. Therefore, it is important that reconstruction methods can correctly detect and extract all permanent structures even in the presence of such clutter. We propose to perform semantic scene completion using deep learning, prior to the extraction of permanent structures to improve the reconstruction results. For this, we started from the ScanComplete network proposed by Dai et al. We adapted the network to use a different input representation to eliminate the need for scanning t...
Fast track article for IS&T International Symposium on Electronic Imaging 2020: 3D Measurement an... more Fast track article for IS&T International Symposium on Electronic Imaging 2020: 3D Measurement and Data Processing proceedings.
The exploitation of offshore windfarms (WFs) goes hand in hand with large capital expenditures (C... more The exploitation of offshore windfarms (WFs) goes hand in hand with large capital expenditures (CAPEX) and operational expenditures (OPEX), as these mechanical installations operate continuously for multiple decades in harsh, saline conditions. OPEX can account for up to 30% of the levelised cost of energy (LCoE) for a deployed offshore wind farm. To maintain the cost-competitiveness of deployed offshore WFs versus other renewable energy sources, their LCoE has to be kept in check, both by minimising the OPEX and optimising the offshore wind energy production. As corrosion, in particular uniform corrosion, is a major cause of failure of offshore wind turbine structures, there is an urgent need for corrosion management systems for deployed offshore wind turbine structures (WTs). Despite the fact that initial corrosion protection solutions are already integrated on some critical structural components such as WT towers, WT transition pieces or WT sub-structure (fixed or floating platfo...
In this paper, we propose a framework for reconstructing a compact geometric model from point clo... more In this paper, we propose a framework for reconstructing a compact geometric model from point clouds of building interiors. Geometric reconstruction of indoor scenes is especially challenging due to clutter in the scene, such as furniture and cabinets. The clutter may (partially) hide the structural components of the interior. The proposed framework is able to cope with this clutter by using a hypothesizing and selection strategy, in which candidate faces are firstly generated by intersecting the extracted planar primitives. Secondly, an optimal subset of candidate faces is selected by optimizing a binary labeling problem. We formulate the selection problem as a continuous quadratic optimization problem, allowing us to incorporate a cost function specifically for indoor scenes. The obtained polygonal surface is not only 2-manifold but also oriented, meaning that the surface normals of each polygon are consistently oriented towards the interior. All adjacent and coplanar faces that w...
The extraction of permanent structures (such as walls, floors, and ceilings) is an important step... more The extraction of permanent structures (such as walls, floors, and ceilings) is an important step in the reconstruction of building interiors from point clouds. These permanent structures are, in general, assumed to be planar. However, point clouds from building interiors often also contain clutter with planar surfaces such as furniture, cabinets, etc. Hence, not all planar surfaces that are extracted belong to permanent structures. This is undesirable as it can result in geometric errors in the reconstruction. Therefore, it is important that reconstruction methods can correctly detect and extract all permanent structures even in the presence of such clutter. We propose to perform semantic scene completion using deep learning, prior to the extraction of permanent structures to improve the reconstruction results. For this, we started from the ScanComplete network proposed by Dai et al. We adapted the network to use a different input representation to eliminate the need for scanning t...
Fast track article for IS&T International Symposium on Electronic Imaging 2020: 3D Measurement an... more Fast track article for IS&T International Symposium on Electronic Imaging 2020: 3D Measurement and Data Processing proceedings.
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