BIM Advancements in Reality Modeling


    Winner — CEDD-AECOM-The Earth Solutions — Development of Anderson Road Quarry Site, Hong Kong

    The Anderson Road Quarry site will provide about 40 hectares of land for residential and commercial development to accommodate a planned population of 25,000. The estimated US$1 billion project involves civil infrastructure, such as site formation, road networks, drainage system including stormwater detention tank and artificial flood lake, sewerage system, underground utilities, and green space to serve the community. HKSARG/CEDD NT East Development Office engaged AECOM to design and administer the civil infrastructure works for the first Hong Kong project to use Bentley applications throughout the construction process.

    The project team used Bentley applications for managing and sharing data, design modeling, and site formation, applying BIM methodologies, monitoring construction progress, and creating visual animations of the completed development to show the public the project. The process reduced onsite injury risks, improved stakeholder collaboration, minimized time and resources required for planning and construction progress, and streamlined workflows, minimizing costly rework.

    Virtual Penn State Campus

    Finalist — The Pennsylvania State University, Department of Architectural Engineering — Virtual Penn State Campus, University Park, Pa.

    Penn State’s main campus features almost 1,000 buildings and structures with numerous assets contained within each facility. To better enable facility managers to locate assets and more efficiently meet campus maintenance demands, the university initiated the Virtual Penn State Campus project. The completed project will allow facility managers to visualize accurate locations of work orders, increase response time, and improve performance for more efficient asset maintenance and campus management.

    Using ContextCapture, the project team generated a detailed, geospatially accurate 3D reality mesh of the entire campus and surrounding area from 2,500 aerial images in less than two days. They integrated geospatial and asset work order data from the university’s own geospatial information system and computerized maintenance management system with the reality mesh in MicroStation. The team then stored the campus reality model on ProjectWise to provide web-based access to the model and eliminate the need for computer storage space and model transfer time.

    Sanborn3D HD Maps for autonomous driving

    Finalist — The Sanborn Map Company, Inc. — Sanborn3D HD Maps for Autonomous Driving, Santa Clara County, Calif.

    Operating self-driving vehicles safely requires purpose-built, map-based data sets that contain significantly more detailed mapping information with absolute, precise accuracy than current geospatial positioning system resources. To address this need, the Sanborn Map Company has developed proprietary HD mapping technology that created high-precision, 3D maps of California’s Santa Clara area specifically for use in autonomous vehicle models. The company needed to show the quality of its mapping data to its partner automotive firms.

    The team used ContextCapture to generate a 3D reality mesh from multi-camera oblique imagery of Santa Clara County, and integrated its HD map data to serve as a virtual simulation tool for testing autonomous cars. ContextCapture automated the production process for cost-effective, high-quality modeling of the 3D mesh that would have otherwise involved a team of 3D modelers working continuously for six months at an estimated cost of US$100,000.