Simultaneous Localization and Mapping (SLAM)

[1]  P. Ridao,et al.  Scan matching SLAM in underwater environments , 2014, Auton. Robots.

[2]  Timothy W. McLain,et al.  Quadrotors and Accelerometers: State Estimation with an Improved Dynamic Model , 2014, IEEE Control Systems.

[3]  Yasir Latif,et al.  Robust loop closing over time for pose graph SLAM , 2013, Int. J. Robotics Res..

[4]  Andreas Nüchter,et al.  Algorithmic Solutions for Computing Precise Maximum Likelihood 3D Point Clouds from Mobile Laser Scanning Platforms , 2013, Remote. Sens..

[5]  Raffaello D'Andrea,et al.  A model predictive controller for quadrocopter state interception , 2013, 2013 European Control Conference (ECC).

[6]  Pengpeng Zhao,et al.  A Comparative Study of SIFT and its Variants , 2013 .

[7]  Edwin Olson,et al.  Inference on networks of mixtures for robust robot mapping , 2013, Int. J. Robotics Res..

[8]  Roland Siegwart,et al.  Comparing ICP variants on real-world data sets , 2013, Auton. Robots.

[9]  Andreas Birk,et al.  Spectral 6DOF Registration of Noisy 3D Range Data with Partial Overlap , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Andreas Birk,et al.  On behalf of: Multimedia Archives , 2012 .

[11]  Dorian Gálvez-López,et al.  Bags of Binary Words for Fast Place Recognition in Image Sequences , 2012, IEEE Transactions on Robotics.

[12]  Jörg Stückler,et al.  SURE: Surface Entropy for Distinctive 3D Features , 2012, Spatial Cognition.

[13]  Luiz Velho,et al.  Kinect and RGBD Images: Challenges and Applications , 2012, 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images Tutorials.

[14]  Fulvio Rinaudo,et al.  SR-4000 and CamCube3.0 Time of Flight (ToF) Cameras: Tests and Comparison , 2012, Remote. Sens..

[15]  F. Fraundorfer,et al.  Visual Odometry : Part II: Matching, Robustness, Optimization, and Applications , 2012, IEEE Robotics & Automation Magazine.

[16]  Frank Dellaert,et al.  iSAM2: Incremental smoothing and mapping using the Bayes tree , 2012, Int. J. Robotics Res..

[17]  F. Fraundorfer,et al.  Visual Odometry [Tutorial] , 2011, IEEE Robotics & Automation Magazine.

[18]  Paul Newman,et al.  Appearance-only SLAM at large scale with FAB-MAP 2.0 , 2011, Int. J. Robotics Res..

[19]  Thomas B. Schön,et al.  Learning to close loops from range data , 2011, Int. J. Robotics Res..

[20]  Andreas Birk,et al.  Spectral registration of noisy sonar data for underwater 3D mapping , 2011, Auton. Robots.

[21]  S. Foix,et al.  Lock-in Time-of-Flight (ToF) Cameras: A Survey , 2011, IEEE Sensors Journal.

[22]  Federico Tombari,et al.  Unique Signatures of Histograms for Local Surface Description , 2010, ECCV.

[23]  Andreas Birk,et al.  Fast Registration Based on Noisy Planes With Unknown Correspondences for 3-D Mapping , 2010, IEEE Transactions on Robotics.

[24]  Wolfram Burgard,et al.  A Tutorial on Graph-Based SLAM , 2010, IEEE Intelligent Transportation Systems Magazine.

[25]  Andreas Birk,et al.  Efficient Representation in Three-Dimensional Environment Modeling for Planetary Robotic Exploration , 2010, Adv. Robotics.

[26]  Ian D. Reid,et al.  Article in Press Robotics and Autonomous Systems ( ) – Robotics and Autonomous Systems a Comparison of Loop Closing Techniques in Monocular Slam , 2022 .

[27]  Cyrill Stachniss,et al.  On measuring the accuracy of SLAM algorithms , 2009, Auton. Robots.

[28]  Andreas Nüchter,et al.  Automatic appearance‐based loop detection from three‐dimensional laser data using the normal distributions transform , 2009, J. Field Robotics.

[29]  Tamim Asfour,et al.  Combining Harris interest points and the SIFT descriptor for fast scale-invariant object recognition , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[30]  Nico Blodow,et al.  Fast Point Feature Histograms (FPFH) for 3D registration , 2009, 2009 IEEE International Conference on Robotics and Automation.

[31]  Stergios I. Roumeliotis,et al.  On the complexity and consistency of UKF-based SLAM , 2009, 2009 IEEE International Conference on Robotics and Automation.

[32]  Garrison W. Cottrell,et al.  Gamma‐SLAM: Visual SLAM in unstructured environments using variance grid maps , 2009, J. Field Robotics.

[33]  Paul Newman,et al.  FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance , 2008, Int. J. Robotics Res..

[34]  Luc Van Gool,et al.  Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..

[35]  Lindsay Kleeman,et al.  Fast Laser Scan Matching using Polar Coordinates , 2007, Int. J. Robotics Res..

[36]  Tom Duckett,et al.  Scan registration for autonomous mining vehicles using 3D‐NDT , 2007, J. Field Robotics.

[37]  Olivier Stasse,et al.  MonoSLAM: Real-Time Single Camera SLAM , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[38]  David Fofi,et al.  A review of recent range image registration methods with accuracy evaluation , 2007, Image Vis. Comput..

[39]  Andrea Censi,et al.  An accurate closed-form estimate of ICP's covariance , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[40]  Y. Charlie Hu,et al.  P-SLAM: Simultaneous Localization and Mapping With Environmental-Structure Prediction , 2007, IEEE Transactions on Robotics.

[41]  Wolfram Burgard,et al.  Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters , 2007, IEEE Transactions on Robotics.

[42]  Y. Keller,et al.  Volume Registration Using the 3-D Pseudopolar Fourier Transform , 2006, IEEE Transactions on Signal Processing.

[43]  Florent Lamiraux,et al.  Metric-based iterative closest point scan matching for sensor displacement estimation , 2006, IEEE Transactions on Robotics.

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

[45]  Martin Buehler,et al.  Editorial for Journal of Field Robotics—Special Issue on the DARPA Grand Challenge , 2006, J. Field Robotics.

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

[47]  Luc Van Gool,et al.  SURF: Speeded Up Robust Features , 2006, ECCV.

[48]  Gaurav S. Sukhatme,et al.  Towards geometric 3D mapping of outdoor environments using mobile robots , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[49]  C. Schmid,et al.  A performance evaluation of local descriptors , 2005, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[50]  Luca Iocchi,et al.  Scan Matching in the Hough Domain , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[51]  P. J. Huber Robust Statistics: Huber/Robust Statistics , 2005 .

[52]  Jeffrey K. Uhlmann,et al.  Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.

[53]  Joaquim Salvi,et al.  Pattern codification strategies in structured light systems , 2004, Pattern Recognit..

[54]  Andrew J. Davison,et al.  Real-time simultaneous localisation and mapping with a single camera , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[55]  Andrew Zisserman,et al.  Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[56]  Jan Flusser,et al.  Image registration methods: a survey , 2003, Image Vis. Comput..

[57]  Albert-Jan Baerveldt,et al.  Robot localization based on scan-matching - estimating the covariance matrix for the IDC algorithm , 2003, Robotics Auton. Syst..

[58]  Luca Lucchese,et al.  A Frequency Domain Technique for Range Data Registration , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[59]  James J. Little,et al.  Mobile Robot Localization and Mapping with Uncertainty using Scale-Invariant Visual Landmarks , 2002, Int. J. Robotics Res..

[60]  Xavier Armangué,et al.  A comparative review of camera calibrating methods with accuracy evaluation , 2002, Pattern Recognit..

[61]  Neil J. Gordon,et al.  A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..

[62]  D. Scharstein,et al.  A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms , 2001, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001).

[63]  Marc Levoy,et al.  Efficient variants of the ICP algorithm , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.

[64]  R. Lange,et al.  Solid-state time-of-flight range camera , 2001 .

[65]  Philip H. S. Torr,et al.  IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[66]  Andrew Zisserman,et al.  MLESAC: A New Robust Estimator with Application to Estimating Image Geometry , 2000, Comput. Vis. Image Underst..

[67]  Hugh F. Durrant-Whyte,et al.  A new method for the nonlinear transformation of means and covariances in filters and estimators , 2000, IEEE Trans. Autom. Control..

[68]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[69]  Ian D. Reid,et al.  A plane measuring device , 1999, Image Vis. Comput..

[70]  Andrew E. Johnson,et al.  Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[71]  Chin Seng Chua,et al.  Point Signatures: A New Representation for 3D Object Recognition , 1997, International Journal of Computer Vision.

[72]  Evangelos E. Milios,et al.  Globally Consistent Range Scan Alignment for Environment Mapping , 1997, Auton. Robots.

[73]  Yoav Freund,et al.  A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.

[74]  Clément Gosselin,et al.  Probabilistic octree modeling of a 3D dynamic environment , 1997, Proceedings of International Conference on Robotics and Automation.

[75]  J.-S. Gutmann,et al.  AMOS: comparison of scan matching approaches for self-localization in indoor environments , 1996, Proceedings of the First Euromicro Workshop on Advanced Mobile Robots (EUROBOT '96).

[76]  Michel Defrise,et al.  Symmetric Phase-Only Matched Filtering of Fourier-Mellin Transforms for Image Registration and Recognition , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[77]  Zhengyou Zhang,et al.  Iterative point matching for registration of free-form curves and surfaces , 1994, International Journal of Computer Vision.

[78]  Ewald von Puttkamer,et al.  Keeping track of position and orientation of moving indoor systems by correlation of range-finder scans , 1994, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94).

[79]  Evangelos E. Milios,et al.  Robot Pose Estimation in Unknown Environments by Matching 2D Range Scans , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[80]  Lisa M. Brown,et al.  A survey of image registration techniques , 1992, CSUR.

[81]  Gérard G. Medioni,et al.  Structural Indexing: Efficient 3-D Object Recognition , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[82]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[83]  Gérard G. Medioni,et al.  Object modeling by registration of multiple range images , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[84]  Ingemar J. Cox,et al.  Blanche-an experiment in guidance and navigation of an autonomous robot vehicle , 1991, IEEE Trans. Robotics Autom..

[85]  Raja Chatila,et al.  An Experimental System for Incremental Environment Modelling by an Autonomous Mobile Robot , 1989, ISER.

[86]  Alberto Elfes,et al.  Using occupancy grids for mobile robot perception and navigation , 1989, Computer.

[87]  C. Morandi,et al.  Registration of Translated and Rotated Images Using Finite Fourier Transforms , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[88]  Berthold K. P. Horn,et al.  Closed-form solution of absolute orientation using unit quaternions , 1987 .

[89]  Peter C. Cheeseman,et al.  Estimating uncertain spatial relationships in robotics , 1986, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[90]  Hans P. Moravec,et al.  High resolution maps from wide angle sonar , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[91]  Martin A. Fischler,et al.  Computational Stereo , 1982, CSUR.

[92]  M.H.E. Larcombe,et al.  Mobile robots for industrial use , 1979 .

[93]  R. Wishner,et al.  Suboptimal state estimation for continuous-time nonlinear systems from discrete noisy measurements , 1968 .

[94]  C. N. Liu,et al.  Approximating discrete probability distributions with dependence trees , 1968, IEEE Trans. Inf. Theory.

[95]  R. E. Kalman,et al.  A New Approach to Linear Filtering and Prediction Problems , 2002 .

[96]  Huosheng Hu,et al.  3-D-Laser-Based Scene Measurement and Place Recognition for Mobile Robots in Dynamic Indoor Environments , 2013, IEEE Transactions on Instrumentation and Measurement.

[97]  José Ruíz Ascencio,et al.  Visual simultaneous localization and mapping: a survey , 2012, Artificial Intelligence Review.

[98]  Andreas Birk,et al.  Uncertainty analysis for optimum plane extraction from noisy 3D range-sensor point-clouds , 2010, Intell. Serv. Robotics.

[99]  David Wettergreen,et al.  Real‐Time SLAM with Octree Evidence Grids for Exploration in Underwater Tunnels , 2007, J. Field Robotics.

[100]  Luis Montesano,et al.  Probabilistic scan matching for motion estimation in unstructured environments , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[101]  Richard O. Duda,et al.  Use of the Hough transformation to detect lines and curves in pictures , 1972, CACM.

[102]  Henry Cox,et al.  On the estimation of state variables and parameters for noisy dynamic systems , 1964 .