Using a LRF sensor in the Kalman-filtering-based localization of a mobile robot.

[1]  J. Forsberg,et al.  The Hough transform inside the feedback loop of a mobile robot , 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.

[2]  Bernt Schiele,et al.  A comparison of position estimation techniques using occupancy grids , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[3]  Lindsay Kleeman,et al.  Accurate odometry and error modelling for a mobile robot , 1997, Proceedings of International Conference on Robotics and Automation.

[4]  Roland Siegwart,et al.  Feature extraction and scene interpretation for map-based navigation and map building , 1998, Other Conferences.

[5]  Bernt Schiele,et al.  Position estimation using principal components of range data , 1998, Robotics Auton. Syst..

[6]  Carl F. R. Weiman,et al.  Fast mapping using the log-Hough transformation , 1998, Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190).

[7]  Geovany de Araújo Borges,et al.  A split-and-merge segmentation algorithm for line extraction in 2D range images , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[8]  Roland Siegwart,et al.  Multisensor on-the-fly localization: : Precision and reliability for applications , 2001, Robotics Auton. Syst..

[9]  Henrik I. Christensen,et al.  Pose tracking using laser scanning and minimalistic environmental models , 2001, IEEE Trans. Robotics Autom..

[10]  Thomas Röfer,et al.  Using histogram correlation to create consistent laser scan maps , 2002, IROS.

[11]  Panos E. Trahanias,et al.  Hybrid mobile robot localization using switching state-space models , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[12]  Frank Wolter,et al.  Exploring Artificial Intelligence in the New Millenium , 2002 .

[13]  K. Arras.  Feature-based robot navigation in known and unknown environments , 2003 .

[14]  Stergios I. Roumeliotis,et al.  Weighted line fitting algorithms for mobile robot map building and efficient data representation , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[15]  Sebastian Thrun,et al.  Robotic mapping: a survey , 2003 .

[16]  Roland Siegwart,et al.  Hybrid simultaneous localization and map building: a natural integration of topological and metric , 2003, Robotics Auton. Syst..

[17]  Roland Siegwart,et al.  Probabilistic plane fitting in 3D and an application to robotic mapping , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[18]  Michael Veeck,et al.  Learning polyline maps from range scan data acquired with mobile robots , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[19]  L. Latecki,et al.  Building Polygonal Maps from Laser Range Data , 2004 .

[20]  Geovany de Araújo Borges,et al.  Line Extraction in 2D Range Images for Mobile Robotics , 2004, J. Intell. Robotic Syst..

[21]  Wang Wei,et al.  Mobile robot indoor map building and pose tracking using laser scanning , 2004, 2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings..

[22]  R. Siegwart,et al.  A comparison of line extraction algorithms using 2D laser rangefinder for indoor mobile robotics , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[23]  Lindsay Kleeman,et al.  Laser scan matching in polar coordinates with application to SLAM , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[24]  A. Vicino,et al.  Mobile robot SLAM for line-based environment representation , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[25]  Hugh F. Durrant-Whyte,et al.  Simultaneous localization and mapping: part I , 2006, IEEE Robotics & Automation Magazine.

[26]  Hugh Durrant-Whyte,et al.  Simultaneous localization and mapping (SLAM): part II , 2006 .

[27]  Kostas J. Kyriakopoulos,et al.  Simultaneous localization and map building of skid-steered robots , 2007, IEEE Robotics & Automation Magazine.

[28]  Roland Siegwart,et al.  A comparison of line extraction algorithms using 2D range data for indoor mobile robotics , 2007, Auton. Robots.

[29]  L. Teslic,et al.  Kalman-filtering-based localization of a mobile robot with a LRF in a simulated 2D environment , 2008, MELECON 2008 - The 14th IEEE Mediterranean Electrotechnical Conference.

[30]  Se-Young Oh,et al.  A line feature based SLAM with low grade range sensors using geometric constraints and active exploration for mobile robot , 2008, Auton. Robots.

[31]  Xinzheng Zhang,et al.  A Robust Regression Model for Simultaneous Localization and Mapping in Autonomous Mobile Robot , 2008, J. Intell. Robotic Syst..