Algorithms for Simultaneous Localization and Mapping

Simultaneous Localization and Mapping (SLAM) is the problem in which a sensor-enabled mobile robot incrementally builds a map for an unknown environment, while localizing itself within this map. Efficient and accurate SLAM is fundamental for any mobile robot to perform robust navigation. It is also the cornerstone for higher-level tasks such as path planning and exploration. In this talk, I will survey the three major families of SLAM algorithms: parametric filter, particle filter and graph-based smoother. I will review the representative algorithms and the state-of-the-art in each family. I will also discuss issues including submapping, data association and loop closing.

[1]  Paul Newman,et al.  SLAM-Loop Closing with Visually Salient Features , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[2]  Frank Dellaert,et al.  Multi-level submap based SLAM using nested dissection , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  Tom Drummond,et al.  Unified Loop Closing and Recovery for Real Time Monocular SLAM , 2008, BMVC.

[4]  Juan D. Tardós,et al.  Data association in stochastic mapping using the joint compatibility test , 2001, IEEE Trans. Robotics Autom..

[5]  M. Yannakakis.  Computing the Minimum Fill-in is NP^Complete , 1981 .

[6]  Wolfram Burgard,et al.  A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots , 1998, Auton. Robots.

[7]  Paul Newman,et al.  Probabilistic Appearance Based Navigation and Loop Closing , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[8]  Udo Frese.  Treemap: An O(log n) Algorithm for Simultaneous Localization and Mapping , 2004, Spatial Cognition.

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

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

[11]  Udo Frese,et al.  Closing a Million-Landmarks Loop , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[12]  Ronald Parr,et al.  DP-SLAM 2.0 , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[13]  Sebastian Thrun,et al.  FastSLAM: a factored solution to the simultaneous localization and mapping problem , 2002, AAAI/IAAI.

[14]  Wolfram Burgard,et al.  Exploration with active loop-closing for FastSLAM , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[15]  Sebastian Thrun,et al.  Multi-robot SLAM with Sparse Extended Information Filers , 2003, ISRR.

[16]  Kurt Konolige,et al.  FrameSLAM: From Bundle Adjustment to Real-Time Visual Mapping , 2008, IEEE Transactions on Robotics.

[17]  Kurt Konolige,et al.  Large-Scale Map-Making , 2004, AAAI.

[18]  Stephen R. Marsland,et al.  Fast, On-Line Learning of Globally Consistent Maps , 2002, Auton. Robots.

[19]  John J. Leonard,et al.  Robust Mapping and Localization in Indoor Environments Using Sonar Data , 2002, Int. J. Robotics Res..

[20]  Wolfram Burgard,et al.  Efficient Sparse Pose Adjustment for 2D mapping , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[21]  Matthew R. Walter,et al.  Exactly Sparse Extended Information Filters for Feature-based SLAM , 2007, Int. J. Robotics Res..

[22]  Michael Bosse,et al.  An Atlas framework for scalable mapping , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[23]  Peter Cheeseman,et al.  On the Representation and Estimation of Spatial Uncertainty , 1986 .

[24]  Sebastian Thrun,et al.  FastSLAM 2.0: an improved particle filtering algorithm for simultaneous localization and mapping that provably converges , 2003, IJCAI 2003.

[25]  Paul Newman,et al.  Outdoor SLAM using visual appearance and laser ranging , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[26]  Nando de Freitas,et al.  Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks , 2000, UAI.

[27]  Chieh-Chih Wang,et al.  Stereo-based simultaneous localization, mapping and moving object tracking , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[28]  Michael Bosse,et al.  Simultaneous Localization and Map Building in Large-Scale Cyclic Environments Using the Atlas Framework , 2004, Int. J. Robotics Res..

[29]  Gamini Dissanayake,et al.  D-SLAM: Decoupled Localization and Mapping for Autonomous Robots , 2005, ISRR.

[30]  Wolfram Burgard,et al.  G2o: A general framework for graph optimization , 2011, 2011 IEEE International Conference on Robotics and Automation.

[31]  Randall Smith,et al.  Estimating Uncertain Spatial Relationships in Robotics , 1987, Autonomous Robot Vehicles.

[32]  Tom Duckett,et al.  A multilevel relaxation algorithm for simultaneous localization and mapping , 2005, IEEE Transactions on Robotics.

[33]  Alexei Makarenko,et al.  An experiment in integrated exploration , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[34]  Edwin Olson,et al.  Fast iterative alignment of pose graphs with poor initial estimates , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[35]  Wolfram Burgard,et al.  Nonlinear Constraint Network Optimization for Efficient Map Learning , 2009, IEEE Transactions on Intelligent Transportation Systems.

[36]  Hugh F. Durrant-Whyte,et al.  Simultaneous map building and localization for an autonomous mobile robot , 1991, Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91.

[37]  Hugh F. Durrant-Whyte,et al.  Simultaneous Localization, Mapping and Moving Object Tracking , 2007, Int. J. Robotics Res..

[38]  G. Dimitrakopoulos,et al.  Intelligent Transportation Systems , 2010, IEEE Vehicular Technology Magazine.

[39]  Sebastian Thrun,et al.  The Graph SLAM Algorithm with Applications to Large-Scale Mapping of Urban Structures , 2006, Int. J. Robotics Res..

[40]  Wolfram Burgard,et al.  A Tree Parameterization for Efficiently Computing Maximum Likelihood Maps using Gradient Descent , 2007, Robotics: Science and Systems.

[41]  Frank Dellaert,et al.  iSAM: Incremental Smoothing and Mapping , 2008, IEEE Transactions on Robotics.

[42]  Jeffrey K. Uhlmann,et al.  A counter example to the theory of simultaneous localization and map building , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[43]  Wolfram Burgard,et al.  Towards Lazy Data Association in SLAM , 2003, ISRR.

[44]  Nicholas Roy,et al.  Global A-Optimal Robot Exploration in SLAM , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[45]  Gamini Dissanayake,et al.  Convergence and Consistency Analysis for Extended Kalman Filter Based SLAM , 2007, IEEE Transactions on Robotics.

[46]  Hugh F. Durrant-Whyte,et al.  Simultaneous Localization and Mapping with Sparse Extended Information Filters , 2004, Int. J. Robotics Res..

[47]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[48]  Udo Frese.  An O(log n) algorithm for simultaneous localization and mapping of mobile robots in indoor environments , 2004 .

[49]  Kurt Konolige,et al.  Incremental mapping of large cyclic environments , 1999, Proceedings 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation. CIRA'99 (Cat. No.99EX375).

[50]  Frank Dellaert,et al.  Tectonic SAM: Exact, Out-of-Core, Submap-Based SLAM , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[51]  Frank Dellaert,et al.  Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing , 2006, Int. J. Robotics Res..

[52]  Ronald Parr,et al.  DP-SLAM: fast, robust simultaneous localization and mapping without predetermined landmarks , 2003, IJCAI 2003.

[53]  Lina María Paz,et al.  Divide and Conquer: EKF SLAM in O(n) , 2008, IEEE Trans. Robotics.

[54]  Wolfram Burgard,et al.  An efficient fastSLAM algorithm for generating maps of large-scale cyclic environments from raw laser range measurements , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[55]  Mark A. Paskin,et al.  Thin Junction Tree Filters for Simultaneous Localization and Mapping , 2002, IJCAI.

[56]  Kevin P. Murphy,et al.  Bayesian Map Learning in Dynamic Environments , 1999, NIPS.

[57]  Juan D. Tardós,et al.  Hierarchical SLAM: real-time accurate mapping of large environments , 2005, IEEE Transactions on Robotics.