Hexagon’s Geospatial Division announced full details of its Luciad V2018 release at HxGN LIVE 2018. V2018 empowers users to create a Smart Digital Reality by enabling the streaming of highly detailed point cloud data to both the desktop and the browser, and by giving users the ability to develop and utilize intricately detailed 3D reality meshes.
These features will be available in LuciadLightspeed and LuciadRIA, Luciad’s modular and customizable solutions for geospatial awareness on the desktop and in the browser. LucadFusion, the all-in-one server solution for geospatial data publication and management can now manage vast amounts of point cloud and 3D reality mesh files, index them and stream them using open standards.
As organizations, cities and countries race to make use of the deluge of IoT sensor data in order to become more flexible and responsive, visualizing and analysing this data efficiently and effectively has become a significant challenge. In light of this, Hexagon recognizes that geospatial applications need to be able to provide highly detailed models of reality where this data can be visualized by users to power the decision-making process.
In V2018, LuciadLightspeed, LuciadRIA and LuciadFusion will now support the streaming of point cloud datasets from laser scans at sub-cm accuracy, as well as city or country-wide 3D reality meshes which use high-res imagery. By using Hexagon’s existing best-in-class support for high velocity data, these digital realities can then be combined with dynamic data feeds that track and sense everything from air and noise pollution created by traffic to people flow through cities.
V2018 will also allow more data types to be integrated into LuciadLightspeed applications, along with enhanced data-driven styling and filtering options. New out-of-the-box functionality in LuciadLightspeed’s application component Lucy will allow users to drag and drop geo-referenced, delimited files describing geospatial features This will mean that location data from a CSV file could, for example, be loaded into a Lucy map and transformed into a heatmap in as few as five clicks.