Jiwoong Kim and Woojin Chung


  1. [1] M. Delafosse, A. Clerentin, L. Delahoche, and E. Brassart,Uncertainty and imprecision modeling for the mobile robotlocalization problem, IEEE International Conf. on Roboticsand Automation, Barcelona, Spain, 2005, 4550–4555.
  2. [2] D.J. Austin and P. Jensfelt, Using multiple Gaussian hypothe-ses to represent probability distributions for mobile robot lo-calization, IEEE International Conf. on Robotics and Automa-tion, San Francisco, CA, 2000, 1036–1041.
  3. [3] P. Chang and M. Hebert, Robust tracking and structure frommotion with sample based uncertainty representation, IEEEInternational Conf. on Robotics and Automation, Washington,DC, 2002, 3030–3037.
  4. [4] C. Moon, W. Chung, and N.L. Doh, Observation likelihoodmodel design and failure recovery scheme toward reliablelocalization of mobile robots, International Journal of AdvancedRobotic Systems, 7(4), 2010, 113–122.
  5. [5] http://www.robotshop.com/en/hagisonic-stargazer-localization-system.html.
  6. [6] K. Lee, N.L. Doh, and W.K. Chung, An exploration strat-egy using sonar sensors in corridor environments, Journal ofIntelligent Service Robots, 3(2), 2010, 89–98.
  7. [7] A. Burguera, G. Oliver, and J.D. Tardos, Robust scan match-ing localization using ultrasonic range finders, IEEE/RSJ In-ternational Conf. on Intelligent Robots and Systems, Alberta,Canada, 2005, 1367–1372.
  8. [8] D. Seo and J. Lee, Localization algorithm for a mobile robotusing iGS, Proc. of the 17th World Congress the InternationalFederation of Automatic Control, Seoul, Korea, 2008, 742–747.
  9. [9] H. Kim, J. Choi, and M. Park, Indoor localization systemusing multi-modulation of ultrasonic sensors and digital com-pass, IEEE/RSJ International Conf. on Intelligent Robots andSystems, Nice, France, 2008, 1359–1364.
  10. [10] A. Pandharipande and D. Caicedo, User localization us-ing ultrasonic presence sensing systems, IEEE InternationalConf. on Systems, Man, and Cybernetics, Seoul, Korea, 2012,742–747.
  11. [11] S. Kim and B. Kim, Dynamic localization based on EKF forindoor mobile robots using discontinuous ultrasonic distancemeasurements, International Conf. on Control, Automationand Systems, Gyeonggi-do, Korea, 2010, 1912–1917.
  12. [12] L. Mihaylova, J. De Schutter, and H. Bruyninckx, A multisineapproach for trajectory optimization based on informationgain, IEEE/RSJ International Conf. on Intelligent Robots andSystems, Lausanne, Switzerland, 2002, 100–114.
  13. [13] S. Thrun, D. Fox, and W. Burgard, Probabilistic robotics(Cambridge: The MIT Press, 2005), 132–139.
  14. [14] J. Borenstein and L. Feng, Measurement and correction of sys-tematic odometry errors in mobile robots, IEEE Transactionson Robotics and Automation, 12(6), 1996, 869–880.
  15. [15] R. Siegwart and I.R. Nourbakhsh, Introduction to autonomousmobile robot (Cambridge: A Bradford Books, 2004), 182–191.
  16. [16] F. Dellaert, D. Fox, W. Burgard, and S. Thrun, Monte Carlolocalization for mobile robots, IEEE International Con. onRobotics and Automation, Detroit, MI, 1999, 1322–1328.
  17. [17] M. Beinhofer, J. Muller, and W. Burgard, Near-optimal land-mark selection for mobile robot navigation, IEEE InternationalConf. on Robotics and Automation, Shanghai, China, 2011,4744–4749.

Important Links:

Go Back