Budget TRC: 1 988 000 €
Visualizing the connections between plans and the real environment in a construction site can be a slow and tedious process that is prone to human error. Finding out basic information like location and orientation and finding metadata about structures often requires time, varying measurements or contacting a person with appropriate knowledge. Augmented reality excels at connecting location and information in a natural way, making it a perfect fit for industrial usage. MARIN research project studied augmented reality in a marine industry setting, while MARIN2 will expand the previous work to a broader industry setting. Successful implementation of augmented reality in professional use could streamline the workflow of planners, supervisors and workers alike, leading to major savings in time and cost.
Augmented reality applications could make it possible that all required information is always up to date and conveniently accessible on construction sites. This would greatly reduce the amount of manual work required for optimizing and translating the information between separate mediums. Furthermore, by connecting the technical details to the actual objects via augmented reality, the solutions could greatly improve the communication between planners, construction workers, and maintenance personnel. Even with the focus in industrial usage, much of the research in MARIN2 will also benefit augmented reality research in general.
In MARIN2, the results of the previous project are taken to a new level and applied in the fields of construction engineering and infrastructure construction. Augmented reality research will be done in the fields of user experience, visual tracking, hardware acceleration and data integration. All partner companies have their own unique projects that operate in parallel, benefitting from the academic research conducted in MARIN2.
Research & industry partners
TRC-Matcher and enhanced TRC-Matcher. New Tools for Automatic XML Schema MatchingUniversity of Turku Technical Reports No 13May 2017
Applying Augmented Reality to Outdoors Industrial UseMaster’s Thesis, University of Turku2016
3D Mesh Simplification. A survey of algorithms and CAD model simplification testsUniversity of Turku Technical Reports, No. 3August 2015
Current State of Ontology Matching. A Survey of Ontology and Schema Match-ingUniversity of Turku Technical Reports, No. 4August 2015
Hardware Accelarated Visual Tracking Algorithms. A Systematic Literature Re-viewUniversity of Turku Technical Reports, No. 5August 2015
Map matching by using inertial sensors: literature reviewUniversity of Turku Technical Reports, No. 6August 2015
Recent Advances in Monocular Model-based Tracking – A Systematic Literature ReviewUniversity of Turku Technical Reports, No. 8August 2015
Novel Interaction Techniques for Mobile Augmented Reality Applications. A Sys-tematic Literature ReviewUniversity of Turku Technical Reports, No. 9August 2015
Depth Sensors in Augmented reality Solutions. Literature ReviewUniversity of Turku Technical Reports, No. 10September 2015
Evaluation of the GPS Accuracy of TabletsUniversity of Turku Technical Reports, No. 11August 2016
Senior Research Fellow
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