A Type-2 Fuzzy Logic Based System for Augmented Reality Visualisation of Georeferenced Data

Planning of infrastructure’s provision and maintenance tasks is commonly done in a planning office using paper maps and desktop applications. However, any infrastructure plan has to be verified on location before being submitted to the responsible authorities. This task is usually accomplished by taking paper maps to the field and annotating them on site, or in the best case, using two-dimensional (2D) maps on mobile devices. Augmented reality (AR) can provide enhanced experiences of real-world situations by overlaying key information and three-dimensional (3D) visualizations when needed, thus supporting decision-making processes. AR could support land surveyors and mobile planners with a graphical overlay of the planned changes, highlighting relevant information and assets in their field of view. This paper presents an AR application, which uses interval type-2 fuzzy logic mechanisms to visualise immersive 3D georeferenced data; supporting planning and designing of infrastructure by directly modifying data to incorporate required changes, without the need of any post-processing. Immersive visual feedback is provided via a head mounted display (HMD), enhancing user’s 3D spatial perception of georeferenced data.

[1]  Hani Hagras,et al.  A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots , 2004, IEEE Transactions on Fuzzy Systems.

[2]  Diane J. Cook,et al.  Persim - Simulator for Human Activities in Pervasive Spaces , 2011, 2011 Seventh International Conference on Intelligent Environments.

[3]  Alexander Brem,et al.  Augmented Reality Smart Glasses : Definition , Conceptual Insights , and Managerial Importance 1 , 2017 .

[4]  Menno-Jan Kraak,et al.  Principles of geographic information systems : an introductory textbook , 2000 .

[5]  Mark D. Fairchild,et al.  Color Appearance Models , 1997, Computer Vision, A Reference Guide.

[6]  Hani Hagras,et al.  A fuzzy logic based system for geolocated augmented reality field service support , 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[7]  A-Xing Zhu,et al.  Soil Mapping Using GIS, Expert Knowledge, and Fuzzy Logic , 2001 .

[8]  Qingyun Du,et al.  APPLICATION OF AUGMENTED REALITY GIS IN ARCHITECTURE , 2008 .

[9]  Deborah Hix,et al.  An Augmented Reality System for Military Operations in Urban Terrain , 2002 .

[10]  J. Mendel.  Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions , 2001 .

[11]  N. Navab,et al.  Advanced Medical Displays: A Literature Review of Augmented Reality , 2008, Journal of Display Technology.

[12]  Hani Hagras,et al.  Introduction to Interval Type-2 Fuzzy Logic Controllers - Towards Better Uncertainty Handling in Real World Applications , 2009 .

[13]  Hani Hagras,et al.  Big Bang-Big Crunch optimization based interval type-2 fuzzy PID cascade controller design strategy , 2014, Inf. Sci..

[14]  H. Hagras,et al.  Type-2 FLCs: A New Generation of Fuzzy Controllers , 2007, IEEE Computational Intelligence Magazine.

[15]  Michael H. Brill,et al.  Color appearance models , 1998 .

[16]  Suzana Dragicevic,et al.  An application of fuzzy logic reasoning for GIS temporal modeling of dynamic processes , 2000, Fuzzy Sets Syst..

[17]  Hani Hagras,et al.  Embedding Computational Intelligence in Pervasive Spaces , 2007, IEEE Pervasive Computing.

[18]  Dieter Schmalstieg,et al.  Handheld Augmented Reality for underground infrastructure visualization , 2008, Personal and Ubiquitous Computing.

[19]  Biswajeet Pradhan,et al.  Use of GIS-based fuzzy logic relations and its cross application to produce landslide susceptibility maps in three test areas in Malaysia , 2011 .

[20]  S. Aronoff.  Geographic Information Systems: A Management Perspective , 1989 .

[21]  Mel Slater,et al.  A Framework for Immersive Virtual Environments (FIVE): Speculations on the Role of Presence in Virtual Environments , 1997, Presence: Teleoperators & Virtual Environments.

[22]  Glen Van Brummelen,et al.  Heavenly Mathematics: The Forgotten Art of Spherical Trigonometry , 2012 .

[23]  Hani Hagras,et al.  A type-2 Fuzzy Logic based System for asset geolocation within augmented reality environments , 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[24]  Hani Hagras,et al.  A Self-Tuning zSlices-Based General Type-2 Fuzzy PI Controller , 2015, IEEE Transactions on Fuzzy Systems.

[25]  Andrew Y. C. Nee,et al.  An authorable context-aware augmented reality system to assist the maintenance technicians , 2012 .

[26]  Faiza Tabassum,et al.  Adult anthropometric measures, overweight and obesity , 2009 .

[27]  R Craig,et al.  Adult anthropometric measures, overweight and obesity , 2010 .

[28]  Wa Wijnand IJsselsteijn,et al.  History of telepresence , 2005 .

[29]  Stephen R. Ellis,et al.  Label segregation by remapping stereoscopic depth in far-field augmented reality , 2008, 2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality.

[30]  Zikrija Avdagic,et al.  Applications of Fuzzy Logic in Geographic Information Systems for Multiple Criteria Decision Making , 2007 .

[31]  V. Tsihrintzis,et al.  Assessment of groundwater vulnerability to pollution: a combination of GIS, fuzzy logic and decision making techniques , 2006 .

[32]  Bruce H. Thomas,et al.  ARVino - outdoor augmented reality visualisation of viticulture GIS data , 2005, Fourth IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR'05).

[33]  Assessing the Usability of a Wearable Computer System For Outdoor Pedestrian Navigation , 2005 .

[34]  Ronald Azuma,et al.  A Survey of Augmented Reality , 1997, Presence: Teleoperators & Virtual Environments.

[35]  Graciela Metternicht,et al.  Assessing temporal and spatial changes of salinity using fuzzy logic, remote sensing and GIS. Foundations of an expert system , 2001 .

[36]  Arthur K. Kordon,et al.  Applying Computational Intelligence - How to Create Value , 2009 .

[37]  C. Cosenza,et al.  Groundwater vulnerability and risk mapping using GIS, modeling and a fuzzy logic tool. , 2007, Journal of contaminant hydrology.