2014–2016
Tekes
Budget DFT: 1 988 000 €
Completed
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
Other partners
Publications
Mixed Reality for Industry? An Empirical User Experience StudyAdvances in Intelligent Systems and Computing 1038, IntelliSys 2019: Intelligent Systems and Applications, London, UK, 5-6 September, 2019
[paper]
Data transfer from BIMserver to Unity 3D applications with the BIMconnect assetSubmitted to the Advanced Engineering Informatics
Simplification templates – A new shape specific method for triangle based CAD model simplificationSubmitted to the Computers & Graphics
Plane Equation Features in Depth Sensor Tracking14th International Conference on Signal Processing and Multimedia Applications SIGMAP 2017July 2017
[paper]
Virtual and Augmented Reality Solutions to Industrial Applications16th Conference on Computer Applications and Information Technology in the Maritime Industries COMPIT'17, Cardiff, UKMay 2017
[paper]
User Experience and Interface in Mixed Reality Applications – Case MARIN2Master’s Thesis, University of Turku2017
TRC-Matcher and enhanced TRC-Matcher. New Tools for Automatic XML Schema MatchingUniversity of Turku Technical Reports No 13May 2017
[paper]
Extended Panorama Tracking Algorithm for Augmenting Virtual 3D Objects in Outdoor Environments22nd International Conference on Virtual Systems and Multimedia VSMM 2016, Kuala LumpurOctober 2016
[paper]
Depth Sensors in Augmented Reality Solutions. Literature ReviewUniversity of Turku Technical Reports, No.10September 2015
[paper]
Evaluation of the GPS Accuracy of TabletsUniversity of Turku Technical Reports, No.11August 2016
[paper]
Applying Augmented Reality to Outdoors Industrial UseMaster’s Thesis, University of Turku2016
[paper]
3D Mesh Simplification. A Survey of Algorithms and CAD Model Simplification TestsUniversity of Turku Technical Reports, No.3August 2015
[paper]
Map Matching by Using Inertial Sensors: Literature ReviewUniversity of Turku Technical Reports, No.6August 2015
[paper]
Recent Advances in Monocular Model-Based Tracking: A Systematic Literature ReviewUniversity of Turku Technical Reports, No. 8August 2015
[paper]
Novel Interaction Techniques for Mobile Augmented Reality Applications. A Systematic Literature ReviewUniversity of Turku Technical Reports, No. 9August 2015
[paper]
Hardware Accelarated Visual Tracking Algorithms. A Systematic Literature ReviewUniversity of Turku Technical Reports, No. 5August 2015
[paper]
Current State of Ontology Matching. A Survey of Ontology and Schema MatchingUniversity of Turku Technical Reports, No. 4August 2015
[paper]
Press material
- Press release (in English)
- Press release (in Finnish)
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