A New Low Cost System for Autonomous Robot Heading and Position Localization in a Closed Area

• Astrom, K. 1992. A correspondence problem in laser guided navigation. In Proceedings of Symposium on Image Analysis, Sweden, pp. 141–144.

• Barshan, B. and Durrant-Whyte, H.F. 1995. Inertial sensing for mobile robotics. IEEE Transactions on Robotics and Automation, 11(3):328–342.

  Google Scholar 

• Borenstein, J., Everett, B., and Feng, L. 1996. Navigating Mobile Robots: Systems and Techniques. A. K. Peters, Ltd.: Wellesley, MA.

  Google Scholar 

• Borenstein, J., Everett, H.R., and Ferg, L. 1996. Where am I? Sensors and Methods for Mobile Robot Positioning. http://www-personal.engin.umich.edu/~johannb/position.htm

• Borenstein, J. and Feng, L. 1996. Measurement and correction of systematic odometry errors in mobile robots. IEEE Journal of Robotics and Automation, 12(6):869–880.

  Google Scholar 

• Borenstein, J. and Feng, L. 1996. Gyrodometry: A new method for combining data from gyros and odometry in mobile robots. In Proc. Of International Conference on Robotics and Automation, (Minneapolis, Minnesota), IEEE, pp. 423–428.

• Durrant-Whyte, H.F. 1996. An autonomous guided vehicle for cargo handling applications. International Journal of Robotics Research, 15(5):407–409.

  Google Scholar 

• Elfes, A. 1987. Sonar-based real-world mapping and navigation. IEEE Journal of Robotics and Automation, RA-3(3):249–265.

  Google Scholar 

• Fox, D., Burgard, W., Kruppa, H., and Thrun, S. 1999. Collaborative multi-robot localization. In Proceedings of the 23rd Annual German Conference on Artificial Intelligence, Bonn, Germany.

• Fox, D., Burgard, W., Kruppa, H., and Thrun, S. 2000. A probabilistic approach to collaborative multi-robot localization. In Autonomous Robots, 8(3).

• Goel, P., Roumeliotis, S.I., and Sukhatme, G.S. 1999. Robust localization using relative and absolute position estimates. In Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems, Kyongju, Korea, pp. 1134–1140.

• Hayet, J.B. 2000. Visual localization of a mobile robot in indoor environments with posters. http://www.laas.fr/~jbhayet/icpr2000/latex8.html

• Jensfelt, P. and Christensen, H.I. 1999. Laser based pose tracking. In Proceedings IEEE International Conference on Robotics and Automation, (Detroit, MI), pp. 2994–3000.

• Kleeman, L. 1992. Optimal estimation of position and heading for mobile robots using ultrasonic beacons and dead reckoning. In Proceedings of IEEE International Conference on Robotics and Automation, pp. 2582–2587.

• Leonard, J. and Durrant-Whyte, H. 1991. Mobile robot localization by tracking geometric beacons. IEEE Transactions on Robotics and Automation, 7:376–382.

  Google Scholar 

• Leonard, J.J. and Durrant-Whyte, H.F. 1991. Mobile robot localization by tracking geometric beacons. In IEEE Transactions on Robotics and Automation, 7(3):376–386.

  Google Scholar 

• Madsenand, C.B. and Andersen, C.S. 1998. Optimal landmark selection for triangulation of robot position. International Journal of Robotics and Autonomous Systems, 23(4):277–292.

  Google Scholar 

• Roumeliotis, S.I. and Bekey, G.A. 2000. Bayesian estimation and Kalman filtering: A unified framework for mobile robot localization. In Proceedings of the 2000 IEEE International Conference on Robotics and Automation, San Francisco, CA, pp. 24–28.

• Roumeliotis, S.I., Sukhatme, G.S., and Bekey, G.A. 1999. Circumventing dynamic modeling: Evaluation of the error-state Kalman filter applied to mobile robot localization. In Proceedings of the 1999 IEEE International Conference in Robotics and Automation.

• Talluri, R. and Aggarwal, J. 1993. Position estimation techniques for an autonomous mobile robot—a Review. In Handbook of Pattern Recognition and Computer Vision, World Scientific, Singapore, Ch. 4.4, pp. 769–801.

  Google Scholar 

• Thrun, S. 1998. Bayesian landmark learning for mobile robot localization. Machine Learning, 33(1).

• Thrun, S. 1999. Learning maps for indoor mobile robot navigation. Artificial Intelligence.

• Thrun, S. and Bucken, A. 1996. Integrating grid-based and topological maps for mobile robot navigation. In Proceedings of the 13th National Conference on AI, Portland, OR, pp. 128–133.

• Weil, G., Wetzler, C., and Puttkamer, E.V. 1994. Keeping track of position and orientation of moving indoor systems by correlation of range-finder scans. In Proceedings of the International Conference on Intelligent Robots and Systems, pp. 595–601.

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