Tag: Hexagon Geospatial Division

  • Hexagon selected for Innovate UK rail infrastructure artificial intelligence project

    Hexagon selected for Innovate UK rail infrastructure artificial intelligence project

    Innovate UK, the United Kingdom’s innovation agency, has selected Hexagon’s Geospatial division to conduct a research project that will result in faster and higher-precision mapping of railway infrastructure through the use of artificial intelligence.

    The project is funded by Network Rail, the owner and operator of Great Britain’s railway infrastructure, under its R&D portfolio and delivered by Innovate UK through the SBRI competition, Innovation in Automated Survey Processing for Railway Structure Gauging, Phase One. A small group of teams was selected for this effort.

    Image: Hexagon
    Image: Hexagon

    The project will enable Network Rail to automatically identify and measure railway structures from lidar data, saving valuable time and resources, while also improving planning and operations across the rail network. The current, manual process takes analysts months or even years due to the size of the data and the labor-intensive tasks involved.

    “The combination of cross-sectional area, shape, length and speed all place a space requirement on today’s railway,” said James Sweeney, senior engineer at Network Rail. “We anticipate this project will offer us a more efficient way to capture, analyse and measure railway features along 20,000 miles of track, which is important to railway safety and the growth and capacity of our network.”

    Network Rail collects detailed information about its track and the surrounding features, such as bridges and tunnels. The data is then analyzed to assess clearances between trains and the infrastructure around them, which is key to safety.

    Image: Hexagon
    Image: Hexagon

    The new project aims to automate the extraction and calculation of railway features from sensor data, leveraging AI to automatically analyze point-cloud data, identify different structure types, and perform measurements on the structures. The data will be collected from reality capture solutions from Hexagon’s Geosystems division.

    “Network Rail, supported by Innovate UK, is leading the way in the use of AI to automate rail structure identification and measurement,” said Mladen Stojic, president of Hexagon’s Geospatial division. “We are excited to be part of a project that can help transform the gauging process for UK railways.”

  • Hexagon’s M.App Enterprise 2019 features 3D, machine learning

    Hexagon’s M.App Enterprise 2019 features 3D, machine learning

    LogoHexagon’s Geospatial Division launched M.App Enterprise 2019 at its user conference, HxGN LIVE 2019. The latest version of M.App Enterprise integrates capabilities from Hexagon’s Luciad Portfolio to enhance data visualizations, analytics and management.

    Designed to monitor assets, evaluate changes, and take action, M.App Enterprise is a privately-hosted platform that allows organizations to deploy Hexagon Smart M.Apps that dynamically address their location-based business problems.

    The new features in M.App Enterprise 2019 lay the foundation for users to experience a 5D smart digital reality, where data is connected seamlessly through the convergence of the physical world with the digital and intelligence is built into all processes.

    Screenshot: Hexagon Geospatial
    Screenshot: Hexagon Geospatial

    “The enhanced M.App Enterprise is now powered by our Luciad technology, which allows users to have the best of both worlds when it comes to data visualization and advanced analytics to communicate information effortlessly, and in real-time,” said Georg Hammerer, chief technology officer – applications for Hexagon’s Geospatial Division. “This unified geospatial enterprise platform can now further enable users and partners to create vertical solutions for their markets and industry segments.”

    The Luciad Portfolio integration will allow users to connect to, visualize and examine file-based vector and raster data from their Smart M.Apps in 3D. It also now renders terrain features realistically based on elevation data of the area.

    For covering large geographical areas with a higher resolution, M.App Enterprise 2019 allows users to connect to tiled elevation coverages offered by LuciadFusion.

    Furthermore, the addition of classification algorithms to the Spatial Workshop user interface enables M.App Enterprise to perform advanced remote sensing with machine learning.