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Implementation of Gamified Navigation and Location Mapping Using Augmented Reality

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Machine Intelligence and Data Science Applications

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 132))

Abstract

From hand-drawn maps, and compass to technology-based navigation systems, people have always relied on some kind of tool to help them reach their destination. At present, there are a lot of people equipped with a smartphone which has become a part of the daily life. These smartphones have applications such as Google maps which makes use of the GPS technology to facilitate navigation in the outdoor environment. It provides a great deal of accuracy to reach our destination but the same cannot be said for indoor navigation. Indoor navigation systems are still under research and development. The present indoor navigation systems use the existing technologies such as Bluetooth, Wi-Fi, RFID, and Computer Vision for navigating through the indoor environment. In this paper, we point out some of the issues of the existing technologies for indoor navigation and propose a method for indoor navigation using the Augmented Reality technology and ARCore.

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References

  1. Fischer G, Dietrich B, Winkler F (2004) Bluetooth indoor localization system. In: Proceedings of the 1st workshop on positioning, navigation and communication

    Google Scholar 

  2. Seichter H, Mulloni A et al (2011) Handheld augmented reality indoor navigation with activity-based instructions. In: Proceedings of the 13th international conference on human computer interaction with mobile devices and services, pp 211–220

    Google Scholar 

  3. Jiang L, Zhao P, Dong W, Li J, Ai M, Wu X, Hu Q (2018) An eight-direction scanning detection algorithm for the mapping robot path finding in unknown indoor environment. Sensors 18(12):4254

    Article  Google Scholar 

  4. Nikoohemat S, Peter M, Oude Elberink S, Vosselman G (2018) Semantic interpretation of mobile laser scanner point clouds in indoor scenes using trajectories. Remote Sens 10(11):1754

    Google Scholar 

  5. Alattas A, Zlatanova S, Van Oosterom P, Chatzinikolaou E, Lemmen C, Li KJ (2017) Supporting indoor navigation using access rights to spaces based on combined use of IndoorGML and LADM Models. ISPRS Int J Geo Inf 6(12):384

    Article  Google Scholar 

  6. Poux F, Neuville R, Nys GA, Billen R (2018) 3D point cloud semantic modelling: integrated framework for indoor spaces and furniture. Rem Sens 10(9)

    Google Scholar 

  7. Ivanov M, Sergyienko O, Tyrsa V, Lindner L, Flores-Fuentes W, Rodríguez-Quiñonez JC, Hernandez W, Mercorelli P (2020) Influence of data clouds fusion from 3D real-time vision system on robotic group dead reckoning in unknown terrain. IEEE/CAA J Autom Sinica 7(2):368–385

    Article  Google Scholar 

  8. Real Ehrlich C, Blankenbach J (2019) Indoor localization for pedestrians with real-time capability using multi-sensor smartphones. Geo-spatial Inf Sci 22(2):73–88

    Article  Google Scholar 

  9. Li X, Li X, Khyam MO, Luo C, Tan Y (2019) Visual navigation method for indoor mobile robot based on extended BoW model. CAAI Trans Intell Tech 2(4):142–147

    Article  Google Scholar 

  10. Corotan A, Irgen-Gioro JJZ (2019) An indoor navigation robot using augmented reality. In: 5th international conference on control, automation and robotics, pp 111–116

    Google Scholar 

  11. Francis A, Faust H-T, Chiang L, Hsu J, Kew J, Fiser M, Lee T-WE (2019) Long range Indoor navigation with PRM RL

    Google Scholar 

  12. Michel T, Genevès P, Fourati H, Layaïda N (2018) Attitude estimation for indoor navigation and augmented reality with smartphones. Pervas Mob Comput 46:96–121

    Google Scholar 

  13. Al Rabbaa J et al (2019) MRsive: an augmented reality tool for enhancing way finding and engagement with art in museums. Springer, Cham, pp 535–542

    Google Scholar 

  14. Zhao Y; Azenkot S et al (2017) Understanding low vision people’s visual perception on commercial augmented reality glasses. In: Proceedings of the 2017 CHI conference on human factors in computing systems—CHI ’17, pp 4170–4181

    Google Scholar 

  15. Gerhard et al (2009) Handheld augmented reality for underground infrastructure visualization. Personal Ubiquitous Comput 13(4):281–291

    Google Scholar 

  16. Van Krevelen DWF, Poelman R (2010) A survey of augmented reality technologies, applications and limitations. Int J Virt Real 9(2):1–20

    Article  Google Scholar 

  17. Pomberger G, Narzt W, Ferscha A et al (2005) Augmented reality navigation systems. Univ Access Inf Soc 4(3):177–187

    Google Scholar 

  18. Azuma RT (1997) A survey of augmented reality. Presence: Teleoperators Virtual Environ 6(4):355–385

    Google Scholar 

  19. Mortari F, Zlatanova S, Liu L, Clementini E (2014) Improved geometric network model (IGNM): a novel approach for deriving connectivity graphs for indoor navigation. ISPRS Ann Photogrammetry, Rem Sens Spat Inf Sci 2(4)

    Google Scholar 

  20. Akinci B, Tang P, Huber D, Lytle A (2010) Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques. Autom Const 19(7):829–843

    Article  Google Scholar 

  21. Tran H, Khoshelham K, Kealy A, Díaz-Vilariño L (2019) Shape grammar approach to 3d modelling of indoor environments using point clouds. J Comput Civ Eng 33(1):04018055

    Article  Google Scholar 

  22. Yan X, Liu W, Cui X et al (2015) Research and application of indoor guide based on mobile augmented reality system. Xi’an University of Post & Telecommunications, Xi’an, China. Pp 308–311

    Google Scholar 

  23. Chang CP, Chiang CS, Tu TM et al (2005) Robust spatial watermarking technique for colour images via direct saturation adjustment. Vis Image Sig Proc IEEE Proc 152:561–574

    Article  Google Scholar 

  24. Boguslawski P, Zverovich V, Mahdjoubi L (2016) Automated construction of variable density navigable networks in a 3D indoor environment for emergency response 72:115–128

    Google Scholar 

  25. Rodenberg O (2016) The Effect of A* Path finding characteristics on the path length and performance in an octree representation of an indoor point cloud. Master’s Thesis, Technical University of Delft, Delft, The Netherlands

    Google Scholar 

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Author information

Authors and Affiliations

  1. Centre for Artificial Intelligence, Chennai Institute of Technology, Tamil Nadu, Chennai, India

    R. Janarthanan, A. Annapoorani, S. Abhilash & P. Dinesh

Authors
  1. R. Janarthanan
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  2. A. Annapoorani
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  3. S. Abhilash
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  4. P. Dinesh
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Corresponding author

Correspondence to R. Janarthanan .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic

    Vaclav Skala

  2. Department of Informatics, University of Petroleum and Energy Studies, Dehradun, India

    T. P. Singh

  3. Department of Informatics, University of Petroleum and Energy Studies, Dehradun, India

    Tanupriya Choudhury

  4. Department of Informatics, University of Petroleum and Energy Studies, Dehradun, India

    Ravi Tomar

  5. Department of Computer Science and Engineering, Comilla University, Kotbari, Bangladesh

    Md. Abul Bashar

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Janarthanan, R., Annapoorani, A., Abhilash, S., Dinesh, P. (2022). Implementation of Gamified Navigation and Location Mapping Using Augmented Reality. In: Skala, V., Singh, T.P., Choudhury, T., Tomar, R., Abul Bashar, M. (eds) Machine Intelligence and Data Science Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 132. Springer, Singapore. https://doi.org/10.1007/978-981-19-2347-0_20

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