Winner
City of Helsinki - Helsinki 3D+
Helsinki, Finland, has used 3D data for city modeling since 1985. As part of a three-year project to be completed in 2017, the City of Helsinki launched a EUR 1 million project to generate a 3D representation of the entire city. When completed, the model will be provided as open data to involve the public and to encourage commercial research and development. The team acquired data using a combination of laser scanning and oblique photogrammetry. A 3D mesh representation of the city was generated with ContextCapture, and the team used Pointools to model the surface and terrain. ProjectWise enabled the team to manage documents and data, and to share information across internal and external teams throughout the project. As part of their smart city initiative, the 3D model will improve Helsinki’s internal services and promote smart development. The project will also showcase the technology and promote its use in higher education.

Finalist
Kano Laboratory, Waseda University, Obayashi Corporation - Automated Recognition of Work Progress at a Construction Site
The traditional methods of detailing the progress of construction projects are subjective by nature and susceptible to human error. The Kano laboratory in Tokyo's Waseda University and OBAYASHI corporation have been working to overcome this problem by developing an objective method for monitoring construction progress. Three-dimensional laser scanning and photogrammetry have provided the technological tools to accomplish this goal successfully. The research team used ContextCapture to create 3D models using multiple extractions of point-cloud data from a time series of digital imagery. By comparing point-cloud data with a 3D CAD model generated with MicroStation, work progress is measured by identifying components installed during construction. The ability to determine work progress enables continuous evaluation of labor productivity and possible construction delays. The research team used ContextCapture to create 3D models using multiple extractions of point-cloud data from a time series of digital imagery. By comparing point-cloud data with a 3D CAD model generated with MicroStation, work progress is measured by identifying components installed during construction. The ability to determine work progress enables continuous evaluation of labor productivity and possible construction delays.

Finalist
CH2M Fairhurst Joint Venture - A9 Dualling Program
As part of a larger GBP 3 billion project, CH2M is upgrading 43 kilometers of single- and dual-carriageway road between Glengarry and Dalraddy. Three-dimensional visualizations are a key component of this project and will assist in addressing residents’ and stakeholders’ concerns while helping to monitor the project’s environmental impact. The team used multiple Bentley applications for the project including LumenRT, which was used to generate fully interactive live cubes. Using high-resolution 3D mesh models created with ContextCapture as a base, multiple design scenarios were visualized in a single live cube. CH2M implemented a single data source approach and an integrated workflow environment using ProjectWise, which was fundamental to their BIM strategy. Using Bentley software helped the team to shorten project time overall, and cut visualization time in half. Reality modeling with live cubes will play an important role in the subsequent stages of the project.