Open3D: Crowd-Sourced Distributed Curation of City Models

Detailed, large-scale 3D models of cities are important assets for many applications. While creating such models is difficult and time consuming, keeping them updated is even more challenging. In comparison, in many domains, crowd-sourcing of data is now an established process for expanding the scope or detail of data sets. In this paper, we describe the initial prototype implementation of Open3D, a crowd-sourcing platform for distributed curation of large-scale city models. We present an open architecture with interfaces that clearly separate model storage and indexing from viewing or editing. To support collaborative editing of extremely large models, we propose to use a modeling and model description paradigm that can integrate polygon-based modeling with parametric operations. We demonstrate the main concepts and prototype through an online city model that can be synchronously edited by multiple users, with live changes being propagated among clients. The main implementation consists of a set of web services, which support key functions such as model storage, locks for editing and spatial queries; a light-weight viewer based on the Cesium library, which runs on desktops and mobile devices; and a prototype editor, which clients can install to edit the models

Stress-Testing LiDAR Registration

Point cloud registration (PCR) is an important task in many fields including autonomous driving with LiDAR sensors. PCR algorithms have improved significantly in recent years, by combining deep-learned features with robust estimation methods. These algorithms succeed in scenarios such as indoor scenes and object models registration. However, testing in the automotive LiDAR setting, which presents its own challenges, has been limited. The standard benchmark for this setting, KITTI-10m, has essentially been saturated by recent algorithms: many of them achieve near-perfect recall. In this work, we stress-test recent PCR techniques with LiDAR data. We propose a method for selecting balanced registration sets, which are challenging sets of frame-pairs from LiDAR datasets. They contain a balanced representation of the different relative motions that appear in a dataset, i.e. small and large rotations, small and large offsets in space and time, and various combinations of these. We perform a thorough comparison of accuracy and run-time on these benchmarks. Perhaps unexpectedly, we find that the fastest and simultaneously most accurate approach is a version of advanced RANSAC. We further improve results with a novel pre-filtering method

SENSAAS (SENsitive Surface As A Shape): utilizing open-source algorithms for 3D point cloud alignment of molecules

Open-source 3D data processing libraries originally developed for computer vision and pattern recognition are used to align and compare molecular shapes and sub-shapes. Here, a shape is represented by a set of points distributed on the van der Waals surface of molecules. Each point is colored by its closest atom, which itself belongs to a user defined class. The strength of this representation is that it allows for comparisons of point clouds of different kind of chemical entities: small molecules, peptides, proteins or cavities (the negative image of th

Developing Blockchain-enabled Marketplace Interfaces: A Design Science Research Study

Digital transformation\u27s scope evolves from being limited to the organizational level to inter-organizational collaboration in supply chain networks and business ecosystems. Blockchain-enabled marketplaces have the potential to transform business networks by eliminating intermediaries. To investigate the interface design and visualization of blockchain-enabled marketplaces, we employed a design science methodology and synthesized knowledge from literature, practice, and qualitative expert interviews. Our research provides (1) theoretically grounded and prescriptive knowledge expressed in meta-requirements and design principles inspired by effective use theory, and (2) presents concrete design features and an expository prototype instantiation. The prototype is evaluated through focus group workshops and interviews with experts and potential users. Our work contributes to recent calls to investigate the design and visualization of blockchain-enabled marketplaces, advances research on blockchain applications in B2B contexts, and expands the literature on information system design for marketplace-oriented transformations