Self-Localization by Laser Scanner and GPS in Automated Surveys

  • V. BarrileEmail author
  • G. Bilotta
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 307)


Our contribution is based on a research aimed to a “quick” resolution of an integrated problem oriented towards the self-localization and perimetration through mobile devices. The adopted methodology is applied on a real case study by using the following surveying tools: a kinematic Global Positioning System (GPS) and a Laser Scanner supporting a “mobile platform”. A GPS receiver provided by Leica Geosystem and a two-dimensional Laser Scanner provided by the Automation and Control Laboratory of the University “Mediteranea” of Reggio Calabria were positioned on an experimental mobile system specifically designed to simulate the behaviour of a future and fully automated platform. The research is aimed to conduct the traditional land surveying through a Laser Scanner alongside with GPS receivers in a three dimensional centimetric resolution within one single system of reference made up of individual scans operated by a “Stop-and-Go” device.


Laser scanner Self-localization GPS Survey 


  1. 1.
    Weiß G, Wetzler C, von Puttkamer E (1994) Keeping track of position and orientation of moving indoor systems by correlation of range-finder scans. Proc Intern Conf on Intelligent Robots and Systems, pp 595–601Google Scholar
  2. 2.
    Lu F, Milios E (1997) Robot Pose Estimation in Unknown Environments by Matching 2D Range Scans. J Intelligent and Robotic Systems 18:pp. 249–275Google Scholar
  3. 3.
    Thrun S (2002) Robotic Mapping: A Survey. In: Exploring artificial intelligence in the new millennium. Morgan Kaufmann, PittsburghGoogle Scholar
  4. 4.
    Liu JS, Chen R, Logvinenko T (2001) A theoretical framework for sequential importance sampling and resampling. In: Doucet A, de Freitas N, Gordon NJ (eds) Sequential Monte Carlo in Practice. Springer-Verlag, New YorkGoogle Scholar
  5. 5.
    Pirjanian P, Karlsson N, Goncalves L, Di Bernardo E (2003) Low-cost visual localization and mapping for consumer robotics. In: Industrial Robot: An International Journal 30:pp 139–144.Google Scholar
  6. 6.
    Rekleitis IM (2004) A particle filter tutorial for mobile robot localization. (Technical Report TR-CIM-04-02)Google Scholar
  7. 7.
    G. Bekey (2005) Autonomous Robots: From Biological Inspiration to Implementation and Control. The MIT Press, Cambridge, MAGoogle Scholar
  8. 8.
    Lingemann K, Nüchter A, Hertzberg J, Surmann H (2005) High-Speed Laser Localization for Mobile Robots. J Robotics and Autonomous Systems (JRAS), Elsevier Science 51:pp 275–296Google Scholar
  9. 9.
    Garulli A, Giannitrapani A, Rossi A, Vicino A (2005) Simultaneous localization and map building using linear features. In: Proc. 2nd European Conf Mobile Robots, Ancona (Italy)Google Scholar
  10. 10.
    Garulli A, Giannitrapani A, Rossi A, Vicino A (2005) Mobile robot SLAM for line-based environment representation, Decision and Control. 2005 European Control Conference. CDC-ECC ’05, pp 2041–2046Google Scholar
  11. 11.
    Aghamohammadi AA, Taghirad HD, Tamjidi AH, Mihankhah E (2007) Feature-Based Laser Scan Matching For Accurate and High Speed Mobile Robot Localization. In: European Conf on Mobile Robots (ECMR’07)Google Scholar
  12. 12.
    Aghamohammadi AA, Tamjidi AH, Taghirad HD (2008) SLAM Using Single Laser Range Finder. In: Proc. 17th World Congress, The International Federation of Automatic Control, Seoul, KoreaGoogle Scholar
  13. 13.
    Secchia M, Uccelli F (2012) Laser Scanner e GPS -Stop&Go. In: FIG Working Week 2012, Knowing to manage the territory, protect the environment, evaluate the cultural heritage, Rome, ItalyGoogle Scholar
  14. 14.
    Wahde M (2012) Introduction to autonomous robots. Department of Applied Mechanics, Chalmers University of Technology, Goteborg, SwedenGoogle Scholar
  15. 15.
    Barrile V, Meduri GM, Bilotta G (2009) Laser scanner surveying techniques aiming to the study and the spreading of recent architectural structures. In: Recent advances in signals and systems, Proc 9th WSEAS Intern Conf on Signal, Speech and Image Processing, pp 92–95Google Scholar
  16. 16.
    Barrile V, Meduri GM, Bilotta G (2011) Laser scanner technology for complex surveying structures. In: WSEAS Trans Signal Processing 7:pp 65–74Google Scholar
  17. 17.
    Barrile V, Bilotta G, Meduri GM (2013) Least Squares 3D Algorithm for the Study of Deformations with Terrestrial Laser Scanner. In: Rec Adv in Electronics, Signal Processing and Communication Systems, Proc Intern Conf Electronics, Signal Processing and Communication Systems, Venice, Italy, pp 162–165Google Scholar
  18. 18.
    Bailey T, Nebot E (2001) Localisation in large-scale environments. In: Robotics and Autonomous Systems, 37:pp 261–281Google Scholar
  19. 19.
    Siegwart R, Nourbakhsh IR (2004) Introduction to Autonomous Mobile Robots. A Bradford Book, The MIT Press, Cambridge, MA, London, EnglandGoogle Scholar
  20. 20.
    Borenstein J, Everett HR, Feng L, Wehe D (1997) Mobile Robot Positioning—Sensors and Techniques. In: J Robotic Systems, Mobile Robots 14:pp 231–249Google Scholar
  21. 21.
    Barrile V, Cacciola M, Cotroneo F, Morabito FC, Versaci M (2006) TECMeasurements through GPS and Artificial Intelligence. In: J Electromagnetic Waves and Applications 20:pp 1211–1220Google Scholar
  22. 22.
    M. Postorino N, Barrile V (2004) An integrated GPS-GIS surface movement ground control system. In: Management of Information Systems, WIT Press (GBR), pp 3–12Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.DICEAM DepartmentMediterranean University of Reggio CalabriaReggio CalabriaItaly
  2. 2.Ph.D. NT&ITA, Planning DepartmentIUAV University of VeniceVeniceItaly

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