Recently the area of motion planning research has been experiencing a significant resurgence of interest based on hybrid working environments that combine point and CAD models. Companies are able to work with point clouds and perform certain operations, such as path-planning, but they lack the support for fast shortest-distance computations for point clouds with more than tens of millions of po...

We present a network architecture for processing point clouds that directly operates on the collection of points represented as a sparse set of samples in a high-dimensional lattice. Naı̈vely applying convolutions on this lattice scales poorly both in terms of memory and computational cost as the size of the lattice increases. Instead, our network uses sparse bilateral convolutional layers as bu...

This paper presents a survey of georeferenced point clouds. Concentration is, on the one hand, put on features, which originate in the measurement process themselves, and features derived by processing the point cloud. On the other hand, approaches for the processing of georeferenced point clouds are reviewed. This includes the data structures, but also spatial processing concepts. We suggest a...

Cloud manufacturing is defined as a relationship between the consumer and a flexible array of production services, managed by an intervening architecture that can match service providers to product and manufacturing processes Cloud manufacturing definitions typically make explicit or imply three groups of actors: consumers, who request and use cloud manufacturing processes; application provider...

Filtering is one of the core post-processing steps for Airborne Laser Scanning (ALS) point clouds. A segmentation-based filtering (SBF) method is proposed herein. This method is composed of three key steps: point cloud segmentation, multiple echoes analysis, and iterative judgment. Moreover, the third step is our main contribution. Particularly, the iterative judgment is based on the framework ...

Smooth (C1-, C2-,...) curve reconstruction from noisy point samples is central to reverse engineering, medical imaging, etc. Unresolved issues in this problem are (1) high computational expenses, (2) presence of artifacts and outlier curls, (3) erratic behavior at self-intersections and sharp corners. Some of these issues are related to non-Nyquist (i.e. sparse) samples. Our work reconstructs c...

Terrestrial Laser Scanners are well suited for the acquisition of data for subsequent geometric modeling. Modern phase shift laser scanners allow the measuring of point clouds with very high point densities. The redundancy in the data can be used to reduce measurement error, leading to a point cloud with high precision and optimized point spacing. In combination with image data, very detailed m...

in this article cloud-point extraction (cpe) was used with chelating agent to extract uranium from aqueous solutions. the methodology used is based on the formation of metal complexes soluble in a micellar phase of surfactant. the metal ions complexes are then extracted into the surfactant-rich phase at a temperature above the cloud-point temperature. the effect of type of surfactants and ligan...

This paper introduces the OpenWebGlobe project (www.openwebglobe.org) and the OpenWebGlobe SDK (Software Development Kit) – an open source virtual globe environment using WebGL. Unlike other (web-based) 3d geovisualisation technologies and toolkits, the OpenWebGlobe SDK not only supports the content authoring and web visualization aspects, but also the data processing functionality for generati...