Probabilistic modeling for sensor fusion with inertial measurements
暂无分享,去创建一个
[1] J. Sjöberg. Non-Linear System Identification with Neural Networks , 1995 .
[2] David Q. Mayne,et al. Constrained state estimation for nonlinear discrete-time systems: stability and moving horizon approximations , 2003, IEEE Trans. Autom. Control..
[3] Sebastian Thrun,et al. 3-Axis magnetic field mapping and fusion for indoor localization , 2012, 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).
[4] R.L. Moses,et al. Locating the nodes: cooperative localization in wireless sensor networks , 2005, IEEE Signal Processing Magazine.
[5] Arno Solin,et al. Sigma-Point Filtering and Smoothing Based Parameter Estimation in Nonlinear Dynamic Systems , 2015, 1504.06173.
[6] Alberto Viseras Ruiz,et al. A general algorithm for exploration with Gaussian processes in complex, unknown environments , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[7] P. Savage. Strapdown Inertial Navigation Integration Algorithm Design Part 1: Attitude Algorithms , 1998 .
[8] Malcolm D. Shuster,et al. The TRIAD algorithm as maximum likelihood estimation , 2006 .
[9] S. Ljung. Fast Algorithms for Integral Equations and Least Squares Identification Problems , 1983 .
[10] Thomas B. Schön,et al. Magnetometer Calibration Using Inertial Sensors , 2016, IEEE Sensors Journal.
[11] Robert H. Halstead,et al. Matrix Computations , 2011, Encyclopedia of Parallel Computing.
[12] Jian Dai,et al. Self-localization of an autonomous maneuverable nonholonomic mobile robot using a hybrid double-compass configuration , 2010, 7th International Symposium on Mechatronics and its Applications.
[13] K. Edström. Switched Bond Graphs : Simulation and Analysis , 1999 .
[14] Valérie Renaudin,et al. Complete Triaxis Magnetometer Calibration in the Magnetic Domain , 2010, J. Sensors.
[15] Niklas Wahlstrom,et al. Modeling of Magnetic Fields and Extended Objects for Localization Applications , 2015 .
[16] Christian P. Robert,et al. Statistics for Spatio-Temporal Data , 2014 .
[17] Thomas B. Schön,et al. Modeling and Calibration of Inertial and Vision Sensors , 2010, Int. J. Robotics Res..
[18] W. Nowak,et al. Application of FFT-based Algorithms for Large-Scale Universal Kriging Problems , 2009 .
[19] A. Doucet,et al. A Tutorial on Particle Filtering and Smoothing: Fifteen years later , 2008 .
[20] Daniel Ankelhed,et al. On design of low order H-infinity controllers , 2011 .
[21] Isak Nielsen,et al. Distributed primal–dual interior-point methods for solving tree-structured coupled convex problems using message-passing , 2017, Optim. Methods Softw..
[22] Adrian Hilton,et al. A survey of advances in vision-based human motion capture and analysis , 2006, Comput. Vis. Image Underst..
[23] Lorenzo Rosasco,et al. Vector Field Learning via Spectral Filtering , 2010, ECML/PKDD.
[24] T. Ardeshiri,et al. Analytical Approximations for Bayesian Inference , 2015 .
[25] Peter Corke,et al. An Introduction to Inertial and Visual Sensing , 2007, Int. J. Robotics Res..
[26] G. Schmidt,et al. Inertial sensor technology trends , 2001 .
[27] Sabine Van Huffel,et al. Consistent least squares fitting of ellipsoids , 2004, Numerische Mathematik.
[28] 정유진,et al. Human Body Motion Capture System using Magnetic and Inertial Sensor Modules , 2011 .
[29] T. Başar,et al. A New Approach to Linear Filtering and Prediction Problems , 2001 .
[30] Ulrich Hammes,et al. Robust Tracking and Geolocation for Wireless Networks in NLOS Environments , 2009, IEEE Journal of Selected Topics in Signal Processing.
[31] Mahmoud El-Gohary,et al. Human Joint Angle Estimation with Inertial Sensors and Validation with A Robot Arm , 2015, IEEE Transactions on Biomedical Engineering.
[32] Demoz Gebre-Egziabher,et al. Calibration of Strapdown Magnetometers in Magnetic Field Domain , 2006 .
[33] W. Gander,et al. Least-squares fitting of circles and ellipses , 1994 .
[34] Wolfram Burgard,et al. A Tutorial on Graph-Based SLAM , 2010, IEEE Intelligent Transportation Systems Magazine.
[35] Jakob Roll. Local and Piecewise Affine Approaches to System Identification , 2003 .
[36] Michael A. Osborne. Bayesian Gaussian processes for sequential prediction, optimisation and quadrature , 2010 .
[37] J. Leech,et al. Classical Dynamics of Particles and Systems , 1966 .
[38] Neil D. Lawrence,et al. Latent Force Models , 2009, AISTATS.
[39] J. Lofberg,et al. YALMIP : a toolbox for modeling and optimization in MATLAB , 2004, 2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No.04CH37508).
[40] P. Ledru,et al. Geological modelling from field data and geological knowledge. Part II. Modelling validation using gravity and magnetic data inversion , 2008 .
[41] Jan-Erik Strömberg,et al. A Mode Switching Modelling Philosophy , 1994 .
[42] K. C. Ho,et al. A simple and efficient estimator for hyperbolic location , 1994, IEEE Trans. Signal Process..
[43] Magnus Larsson,et al. Behavioral and Structural Model Based Approaches to Discrete Diagnosis , 1999 .
[44] Gerhard Tröster,et al. S-SMART , 2016, ACM Trans. Intell. Syst. Technol..
[45] J. Löfberg. Minimax approaches to robust model predictive control , 2003 .
[46] Xiaoming Hu,et al. Drift-free attitude estimation for accelerated rigid bodies , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).
[47] Anastasios I. Mourikis,et al. High-precision, consistent EKF-based visual-inertial odometry , 2013, Int. J. Robotics Res..
[48] Danilo Navarro,et al. Magnetic map building for mobile robot localization purpose , 2009, 2009 IEEE Conference on Emerging Technologies & Factory Automation.
[49] Ingela Lind,et al. Regressor and Structure Selection Uses of ANOVA in System Identification , 2006 .
[50] Valur Einarsson. Model Checking Methods for Mode Switching Systems , 2000 .
[51] Carl E. Rasmussen,et al. Sparse Spectrum Gaussian Process Regression , 2010, J. Mach. Learn. Res..
[52] David Törnqvist,et al. Estimation and Detection with Applications to Navigation , 2008 .
[53] Jay H. Lee,et al. Constrained linear state estimation - a moving horizon approach , 2001, Autom..
[54] Hugh F. Durrant-Whyte,et al. Simultaneous localization and mapping: part I , 2006, IEEE Robotics & Automation Magazine.
[55] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[56] Carlos Silvestre,et al. Geometric Approach to Strapdown Magnetometer Calibration in Sensor Frame , 2011, IEEE Transactions on Aerospace and Electronic Systems.
[57] Fredrik Lindsten,et al. Rao-Blackwellised particle methods for inference and identification , 2011 .
[58] Thomas B. Schön,et al. Modeling and Interpolation of the Ambient Magnetic Field by Gaussian Processes , 2015, IEEE Transactions on Robotics.
[59] Sebastian Madgwick,et al. Estimation of IMU and MARG orientation using a gradient descent algorithm , 2011, 2011 IEEE International Conference on Rehabilitation Robotics.
[60] Ig-Jae Kim,et al. Indoor location sensing using geo-magnetism , 2011, MobiSys '11.
[61] Albert Tarantola,et al. Inverse problem theory - and methods for model parameter estimation , 2004 .
[62] Fernando Torres Medina,et al. Hybrid tracking of human operators using IMU/UWB data fusion by a Kalman filter , 2008, 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI).
[63] Daniel Petersson,et al. A Nonlinear Optimization Approach to H2-Optimal Modeling and Control , 2013 .
[64] Thomas B. Schon,et al. Tightly coupled UWB/IMU pose estimation , 2009, 2009 IEEE International Conference on Ultra-Wideband.
[65] E. Fuselier. Refined error estimates for matrix-valued radial basis functions , 2007 .
[66] Bertram Taetz,et al. Towards self-calibrating inertial body motion capture , 2016, 2016 19th International Conference on Information Fusion (FUSION).
[67] Henrik Tidefelt,et al. Differential-algebraic equations and matrix-valued singular perturbation , 2009 .
[68] Robert B. McGhee,et al. An extended Kalman filter for quaternion-based orientation estimation using MARG sensors , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).
[69] Hendrik Johannes Luinge,et al. Inertial sensing of human movement , 2002 .
[70] Diana Hodgins,et al. Inertial sensor-based knee flexion/extension angle estimation. , 2009, Journal of biomechanics.
[71] Jonas Callmer,et al. Autonomous Localization in Unknown Environments , 2013 .
[72] Alcherio Martinoli,et al. Accurate indoor localization with ultra-wideband using spatial models and collaboration , 2014, Int. J. Robotics Res..
[73] G.B. Giannakis,et al. Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks , 2005, IEEE Signal Processing Magazine.
[74] Anders Stenman,et al. Model on Demand: Algorithms, Analysis and Applications , 1999 .
[75] Jonas Elbornsson,et al. Analysis, Estimation and Compensation of Mismatch Effects in A/D Converters , 2003 .
[76] Allan Gut,et al. An intermediate course in probability , 1995 .
[77] Michael Muma,et al. Robust Estimation in Signal Processing: A Tutorial-Style Treatment of Fundamental Concepts , 2012, IEEE Signal Processing Magazine.
[78] Bernt Schiele,et al. A tutorial on human activity recognition using body-worn inertial sensors , 2014, CSUR.
[79] Anders Helmersson,et al. Methods for robust gain scheduling , 1995 .
[80] Ola Härkegård,et al. Backstepping and control allocation with applications to flight control , 2003 .
[81] Urban Forssell. Closed-loop Identification : Methods, Theory, and Applications , 1999 .
[82] Markus Gerdin. Identification and Estimation for Models Described by Differential-Algebraic Equations , 2006 .
[83] Juha Röning,et al. Magnetic field-based SLAM method for solving the localization problem in mobile robot floor-cleaning task , 2011, 2011 15th International Conference on Advanced Robotics (ICAR).
[84] Stephen P. Boyd,et al. Real-Time Convex Optimization in Signal Processing , 2010, IEEE Signal Processing Magazine.
[85] J. Chilès,et al. Geological modelling from field data and geological knowledge. Part I. Modelling method coupling 3D potential-field interpolation and geological rules , 2008 .
[86] Jonas Gillberg. Frequency Domain Identification of Continuous-Time Systems : Reconstruction and Robustness , 2006 .
[87] Van Overbeek. On-Line Structure Selection for the Identification of Multivariable Systems , 1982 .
[88] Juha Röning,et al. Simultaneous localization and mapping using ambient magnetic field , 2010, 2010 IEEE Conference on Multisensor Fusion and Integration.
[89] Johan Dahlin,et al. Newton-based maximum likelihood estimation in nonlinear state space models , 2015, 1502.03655.
[90] M. Jirstrand. Constructive Methods for Inequality Constraints in Control , 1998 .
[91] Malcolm D. Shuster. Survey of attitude representations , 1993 .
[92] Leslie Pack Kaelbling,et al. Tracking 3-D Rotations with the Quaternion Bingham Filter , 2013 .
[93] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[94] Thomas B. Schön,et al. Using Inertial Sensors for Position and Orientation Estimation , 2017, Found. Trends Signal Process..
[95] Jonas Jansson,et al. Collision Avoidance Theory : with Application to Automotive Collision Mitigation , 2005 .
[96] Simo Särkkä,et al. Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression , 2014, Robotics: Science and Systems.
[97] Predrag Pucar. Modeling and Segmentation using Multiple Models , 1995 .
[98] Frank Dellaert,et al. On-Manifold Preintegration for Real-Time Visual--Inertial Odometry , 2015, IEEE Transactions on Robotics.
[99] D. W. Allan,et al. Statistics of atomic frequency standards , 1966 .
[100] D. Mitchell Wilkes,et al. Mobile robot localization using an electronic compass for corridor environment , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.
[101] Ke Wang-Chen. Transformation and Symbolic Calculations in Filtering and Control , 1994 .
[102] Stephen J. Wright. Primal-Dual Interior-Point Methods , 1997, Other Titles in Applied Mathematics.
[103] Thomas Seel,et al. IMU-Based Joint Angle Measurement for Gait Analysis , 2014, Sensors.
[104] Jouni Hartikainen,et al. Kalman filtering and smoothing solutions to temporal Gaussian process regression models , 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.
[105] Neil D. Lawrence,et al. Kernels for Vector-Valued Functions: a Review , 2011, Found. Trends Mach. Learn..
[106] Fredrik Gustafsson,et al. Teaching Sensor Fusion and Kalman Filtering using a Smartphone , 2014 .
[107] Robert Harle,et al. A Survey of Indoor Inertial Positioning Systems for Pedestrians , 2013, IEEE Communications Surveys & Tutorials.
[108] Hannes Sommer,et al. A Primer on the Differential Calculus of 3D Orientations , 2016, ArXiv.
[109] Arno Solin,et al. Terrain navigation in the magnetic landscape: Particle filtering for indoor positioning , 2016, 2016 European Navigation Conference (ENC).
[110] Simo Särkkä,et al. Bayesian Filtering and Smoothing , 2013, Institute of Mathematical Statistics textbooks.
[111] Erik Wernholt,et al. Multivariable Frequency-Domain Identification of Industrial Robots , 2007 .
[112] M. Shuster,et al. Complete linear attitude-independent magnetometer calibration , 2002 .
[113] K. Aminian,et al. Ambulatory measurement of 3D knee joint angle. , 2008, Journal of biomechanics.
[114] Angelo M. Sabatini,et al. Dealing with Magnetic Disturbances in Human Motion Capture: A Survey of Techniques , 2016, Micromachines.
[115] Håkan Hjalmarsson,et al. Aspects on Incomplete Modeling in System Identification , 1993 .
[116] F. Gustafsson,et al. Mobile positioning using wireless networks: possibilities and fundamental limitations based on available wireless network measurements , 2005, IEEE Signal Processing Magazine.
[117] C. Striebel,et al. On the maximum likelihood estimates for linear dynamic systems , 1965 .
[118] Thomas B. Schön,et al. An optimization-based approach to human body motion capture using inertial sensors , 2014 .
[119] Sina Khoshfetrat Pakazad,et al. A scalable and distributed solution to the inertial motion capture problem , 2016, 2016 19th International Conference on Information Fusion (FUSION).
[120] Jonathan R. Partington,et al. On linear models for nonlinear systems , 2003, Autom..
[121] J. Gunnarsson. Symbolic Methods and Tools for Discrete Event Dynamic Systems , 1997 .
[122] Christian Lyzell,et al. Structural Reformulations in System Identification , 2012 .
[123] Yousef Saad,et al. Iterative methods for sparse linear systems , 2003 .
[124] Thomas B. Schön,et al. MEMS-based inertial navigation based on a magnetic field map , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[125] Jack B. Kuipers,et al. Quaternions and Rotation Sequences: A Primer with Applications to Orbits, Aerospace and Virtual Reality , 2002 .
[126] Eric Foxlin,et al. Inertial head-tracker sensor fusion by a complementary separate-bias Kalman filter , 1996, Proceedings of the IEEE 1996 Virtual Reality Annual International Symposium.
[127] Mille Millnert,et al. Identification and Control of Systems Subject to Abrupt Changes , 1983 .
[128] Joseph J. LaViola,et al. On Kalman Filtering With Nonlinear Equality Constraints , 2007, IEEE Transactions on Signal Processing.
[129] Hans Driessen,et al. MAP estimation in particle filter tracking , 2008 .
[130] Michael J. Rycroft,et al. Understanding GPS. Principles and Applications , 1997 .
[131] Hans Driessen,et al. Particle based MAP state estimation: A comparison , 2009, 2009 12th International Conference on Information Fusion.
[132] Thomas B. Schön,et al. Maximum likelihood calibration of a magnetometer using inertial sensors , 2014 .
[133] E. Weinstein,et al. A new method for evaluating the log-likelihood gradient, the Hessian, and the Fisher information matrix for linear dynamic systems , 1989, IEEE Trans. Inf. Theory.
[134] Inger Klein,et al. Automatic Synthesis of Sequential Control Schemes , 1993 .
[135] Fredrik Lindsten,et al. Backward Simulation Methods for Monte Carlo Statistical Inference , 2013, Found. Trends Mach. Learn..
[136] Manon Kok,et al. Probabilistic modeling for positioning applications using inertial sensors , 2014 .
[137] Paul Timothy Furgale,et al. Gaussian Process Gauss–Newton for non-parametric simultaneous localization and mapping , 2013, Int. J. Robotics Res..
[138] Kevin Blankespoor,et al. BigDog, the Rough-Terrain Quadruped Robot , 2008 .
[139] 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.
[140] Mats Viberg,et al. Subspace fitting concepts in sensor array processing , 1990 .
[141] Neil D. Lawrence,et al. Linear Latent Force Models Using Gaussian Processes , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[142] Juha Röning,et al. Near-optimal Exploration in Gaussian Process SLAM: Scalable Optimality Factor and Model Quality Rating , 2011, ECMR.
[143] Lennart Ljung,et al. Using horizon estimation and nonlinear optimization for grey-box identification , 2015 .
[144] Gerhard Kurz,et al. Recursive estimation of orientation based on the Bingham distribution , 2013, Proceedings of the 16th International Conference on Information Fusion.
[145] Agostino Martinelli,et al. Vision and IMU Data Fusion: Closed-Form Solutions for Attitude, Speed, Absolute Scale, and Bias Determination , 2012, IEEE Transactions on Robotics.
[146] Nicolas Petit,et al. Combining inertial measurements and distributed magnetometry for motion estimation , 2011, Proceedings of the 2011 American Control Conference.
[147] Simo Särkkä,et al. Linear Operators and Stochastic Partial Differential Equations in Gaussian Process Regression , 2011, ICANN.
[148] Carl E. Rasmussen,et al. A Unifying View of Sparse Approximate Gaussian Process Regression , 2005, J. Mach. Learn. Res..
[149] Simo Särkkä,et al. State-Space Inference for Non-Linear Latent Force Models with Application to Satellite Orbit Prediction , 2012, ICML.
[150] Zhijie Xia,et al. Modeling and control of flexible manipulators , 1992 .
[151] Berthold K. P. Horn,et al. Closed-form solution of absolute orientation using unit quaternions , 1987 .
[152] Angelo M. Sabatini,et al. Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing , 2006, IEEE Transactions on Biomedical Engineering.
[153] Svante Gunnarsson. Frequency Domain Aspects of Modeling and Control in Adaptive Systems , 1988 .
[154] Volkan Cevher,et al. Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics , 2014, IEEE Signal Processing Magazine.
[155] H. M. Schepers,et al. Ambulatory assessment of human body kinematics and kinetics , 2009 .
[156] Thomas B. Schön,et al. Calibration of a magnetometer in combination with inertial sensors , 2012, 2012 15th International Conference on Information Fusion.
[157] Robert E. Mahony,et al. Nonlinear Complementary Filters on the Special Orthogonal Group , 2008, IEEE Transactions on Automatic Control.
[158] Peter A. J. Nagy. Tools for Knowledge-Based Signal Processing with Applications to System Identification , 1992 .
[159] M. Nabighian,et al. The historical development of the magnetic method in exploration , 2005 .
[160] A.H. Sayed,et al. Network-based wireless location: challenges faced in developing techniques for accurate wireless location information , 2005, IEEE Signal Processing Magazine.
[161] Nicolas Petit,et al. Using magnetic disturbances to improve IMU-based position estimation , 2007, 2007 European Control Conference (ECC).
[162] Johan Dahlin,et al. Accelerating Monte Carlo methods for Bayesian inference in dynamical models , 2016 .
[163] Thomas B. Schön,et al. Indoor Positioning Using Ultrawideband and Inertial Measurements , 2015, IEEE Transactions on Vehicular Technology.
[164] Fredrik Gustafsson,et al. Robust Inference for State-Space Models with Skewed Measurement Noise , 2015, IEEE Signal Processing Letters.
[165] André Carvalho Bittencourt,et al. On Modeling and Diagnosis of Friction and Wear in Industrial Robots , 2014 .
[166] Henrik Ohlsson,et al. Regularization for Sparseness and Smoothness : Applications in System Identification and Signal Processing , 2010 .
[167] Nir Friedman,et al. Probabilistic Graphical Models - Principles and Techniques , 2009 .
[168] Christina Grönwall. Ground Object Recognition using Laser Radar Data : Geometric Fitting, Performance Analysis, and Applications , 2006 .
[169] Katinka Wolter,et al. A survey of experimental evaluation in indoor localization research , 2015, 2015 International Conference on Indoor Positioning and Indoor Navigation (IPIN).
[170] Carl E. Rasmussen,et al. Gaussian Processes for Data-Efficient Learning in Robotics and Control , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[171] Peter H. Veltink,et al. Measuring orientation of human body segments using miniature gyroscopes and accelerometers , 2005, Medical and Biological Engineering and Computing.
[172] Mikael Norrlöf,et al. Iterative Learning Control : Analysis, Design, and Experiments , 2000 .
[173] Tommy Svensson. Mathematical Tools and Software for Analysis and Design of Nonlinear Control Systems , 1992 .
[174] T. Kaiser,et al. Hybrid localization using UWB and inertial sensors , 2008, 2008 IEEE International Conference on Ultra-Wideband.
[175] H. Jonson. A Newton Method for Solving Non-Linear Optimal Control Problems with General Constraints , 1983 .
[176] V. Springel. Smoothed Particle Hydrodynamics in Astrophysics , 2010, 1109.2219.
[177] D. A. Dunnett. Classical Electrodynamics , 2020, Nature.
[178] M. Shuster,et al. Three-axis attitude determination from vector observations , 1981 .
[179] V. Verdult,et al. Filtering and System Identification: A Least Squares Approach , 2007 .
[180] Suzanne Lesecq,et al. Calibration methods for inertial and magnetic sensors , 2009 .
[181] A. Isaksson. On System Identification in one and two Dimensions with Signal Processing Applications , 1988 .
[182] Thomas B. Schön,et al. Modeling magnetic fields using Gaussian processes , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[183] Hyun Myung,et al. Magnetic field constraints and sequence-based matching for indoor pose graph SLAM , 2015, Robotics Auton. Syst..
[184] F. Gustafsson. Estimation of Discrete Parameters in Linear Systems , 1993 .
[185] Fredrik Gunnarsson. Power control in cellular radio system: Analysis, design and estimation , 2000 .
[186] K. Kabin,et al. Divergence‐free magnetic field interpolation and charged particle trajectory integration , 2006 .
[187] Stefan B. Williams,et al. Bathymetric particle filter SLAM using trajectory maps , 2012, Int. J. Robotics Res..
[188] Isaac Skog,et al. In-Car Positioning and Navigation Technologies—A Survey , 2009, IEEE Transactions on Intelligent Transportation Systems.
[189] Florian Nadel,et al. Stochastic Processes And Filtering Theory , 2016 .
[190] Giancarlo Troni,et al. Adaptive Estimation of Measurement Bias in Three-Dimensional Field Sensors with Angular Rate Sensors: Theory and Comparative Experimental Evaluation , 2013, Robotics: Science and Systems.
[191] Cyrill Stachniss,et al. Hierarchical optimization on manifolds for online 2D and 3D mapping , 2010, 2010 IEEE International Conference on Robotics and Automation.
[192] James Diebel,et al. Representing Attitude : Euler Angles , Unit Quaternions , and Rotation Vectors , 2006 .
[193] John L. Crassidis,et al. Survey of nonlinear attitude estimation methods , 2007 .
[194] H. Fortell. Algebraic Approaches to Normal Forms and Zero Dynamics , 1995 .
[195] Oliver J. Woodman,et al. An introduction to inertial navigation , 2007 .
[196] Sina Khoshfetrat Pakazad,et al. Divide and Conquer: Distributed Optimization and Robustness Analysis , 2015 .
[197] J. Sjöberg. Optimal Control and Model Reduction of Nonlinear DAE Models , 2008 .
[198] Henk Wymeersch,et al. UWB Positioning with Generalized Gaussian Mixture Filters , 2014, IEEE Transactions on Mobile Computing.
[199] Xiang Li,et al. A new calibration method for tri-axial field sensors in strap-down navigation systems , 2012 .
[200] P. Savage. STRAPDOWN INERTIAL NAVIGATION INTEGRATION ALGORITHM DESIGN. PART 2: VELOCITY AND POSITION ALGORITHMS , 1998 .
[201] Giuseppe Carlo Calafiore,et al. Approximation of n-dimensional data using spherical and ellipsoidal primitives , 2002, IEEE Trans. Syst. Man Cybern. Part A.
[202] Greg Welch,et al. Motion Tracking: No Silver Bullet, but a Respectable Arsenal , 2002, IEEE Computer Graphics and Applications.
[203] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[204] Bertram Taetz,et al. On Inertial Body Tracking in the Presence of Model Calibration Errors , 2016, Sensors.
[205] Fredrik Gunnarsson,et al. Uplink load in CDMA cellular radio systems , 2006, IEEE Transactions on Vehicular Technology.
[206] Robert B. McGhee,et al. Design, Implementation, and Experimental Results of a Quaternion-Based Kalman Filter for Human Body Motion Tracking , 2005, IEEE Transactions on Robotics.
[207] Bob Palais,et al. A Disorienting Look at Euler's Theorem on the Axis of a Rotation , 2009, The American mathematical monthly.
[208] Fredrik Gustafsson,et al. Ultra-wideband calibration for indoor positioning , 2010, 2010 IEEE International Conference on Ultra-Wideband.
[209] Christian Lundquist,et al. On Extended Target Tracking Using PHD Filters , 2012 .
[210] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[211] Xiaoji Niu,et al. Analysis and Modeling of Inertial Sensors Using Allan Variance , 2008, IEEE Transactions on Instrumentation and Measurement.
[212] Johanna Wallén,et al. Estimation-based iterative learning control , 2011 .
[213] Robert Harle,et al. Pedestrian localisation for indoor environments , 2008, UbiComp.
[214] Christopher J Paciorek,et al. Bayesian Smoothing with Gaussian Processes Using Fourier Basis Functions in the spectralGP Package. , 2007, Journal of statistical software.
[215] S. Andersson. On Dimension Reduction in Sensor Array Signal Processing , 1992 .
[216] Fabio Tozeto Ramos,et al. Gaussian process occupancy maps* , 2012, Int. J. Robotics Res..
[217] Niclas Bergman,et al. Recursive Bayesian Estimation : Navigation and Tracking Applications , 1999 .
[218] Rickard Karlsson,et al. Particle filtering for positioning and tracking applications , 2005 .
[219] A. O'Hagan,et al. Curve Fitting and Optimal Design for Prediction , 1978 .
[220] Thomas B. Schön,et al. Accelerometer calibration using sensor fusion with a gyroscope , 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).
[221] Andreas Eidehall,et al. Tracking and threat assessment for automotive collision avoidance , 2007 .
[222] B. Peyton,et al. An Introduction to Chordal Graphs and Clique Trees , 1993 .
[223] Thomas Zwick,et al. Sensor data fusion in UWB-supported inertial navigation systems for indoor navigation , 2013, 2013 IEEE International Conference on Robotics and Automation.
[224] Fredrik Lindsten,et al. Particle filters and Markov chains for learning of dynamical systems , 2013 .
[225] D K Smith,et al. Numerical Optimization , 2001, J. Oper. Res. Soc..
[226] Per Skoglar,et al. Tracking and Planning for Surveillance Applications , 2012 .
[227] B. Bengtsson. On some Control Problems for Queues , 1982 .
[228] Thomas B. Schön,et al. System identification of nonlinear state-space models , 2011, Autom..
[229] Alessio De Angelis,et al. Indoor Positioning by Ultra-Wideband Radio Aided Inertial Navigation , 2009 .
[230] Karl Johan Åström. Maximum likelihood and prediction error methods , 1980, Autom..
[231] Andrew G. Dempster,et al. How feasible is the use of magnetic field alone for indoor positioning? , 2012, 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN).
[232] B. Bhattacharyya,et al. Bicubic Spline Interpolation as a Method for Treatment of Potential Field Data , 1969 .
[233] Didier Stricker,et al. Activity Recognition Using Biomechanical Model Based Pose Estimation , 2010, EuroSSC.
[234] Janne Haverinen,et al. Global indoor self-localization based on the ambient magnetic field , 2009, Robotics Auton. Syst..
[235] Lennart Ljung,et al. Adaptive control based on explicit criterion minimization , 1985, Autom..
[236] Dieter Fox,et al. Gaussian Processes for Signal Strength-Based Location Estimation , 2006, Robotics: Science and Systems.
[237] Johan Dahlin,et al. Sequential Monte Carlo Methods for System Identification , 2015, 1503.06058.
[238] Patrik Axelsson,et al. Sensor Fusion and Control Applied to Industrial Manipulators , 2014 .
[239] F. Markley. Attitude Error Representations for Kalman Filtering , 2003 .
[240] T. McKelvey. Identification of State-Space Models from Time and Frequency Data , 1995 .
[241] Yuanxin Wu,et al. On Calibration of Three-Axis Magnetometer , 2015, IEEE Sensors Journal.
[242] Ram Dantu,et al. Magnetic Maps for Indoor Navigation , 2011, IEEE Transactions on Instrumentation and Measurement.
[243] Frida Eng,et al. Non-Uniform Sampling in Statistical Signal Processing , 2007 .
[244] Zoran Sjanic,et al. Navigation and Mapping for Aerial Vehicles Based on Inertial and Imaging Sensors , 2013 .
[245] Paul Newman,et al. Adaptive compression for 3D laser data , 2011, Int. J. Robotics Res..
[246] Kaveh Pahlavan,et al. Measurement and Modeling of Ultrawideband TOA-Based Ranging in Indoor Multipath Environments , 2009, IEEE Transactions on Vehicular Technology.
[247] Fredrik Gustafsson,et al. Statistical Sensor Fusion , 2013 .
[248] Christian Lundquist,et al. Sensor fusion for automotive applications , 2011 .
[249] Kjell Nordström. Uncertainty, Robustness and Sensitivity Reduction in the Design of Single Input Control Systems , 1987 .
[250] Arno Solin,et al. Spatio-Temporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing , 2013 .
[251] Timothy A. Davis,et al. Direct methods for sparse linear systems , 2006, Fundamentals of algorithms.
[252] Simo Särkkä,et al. Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression , 2012, AISTATS.
[253] P. Lindskog. Methods, Algorithms and Tools for System Identification Based on Prior Knowledge , 1996 .
[254] Sinan Gezici,et al. Ultra-wideband Positioning Systems: Theoretical Limits, Ranging Algorithms, and Protocols , 2008 .
[255] Jorge Dias,et al. Relative Pose Calibration Between Visual and Inertial Sensors , 2007, Int. J. Robotics Res..
[256] G. Bellusci,et al. The Next Generation Xsens Motion Trackers for Industrial Applications , 2017 .
[257] David K. Smith,et al. Dynamic Programming and Optimal Control. Volume 1 , 1996 .
[258] Ragnar Wallin,et al. Optimization Algorithms for System Analysis and Identification , 2004 .
[259] G. Hendeby,et al. Performance and Implementation Aspects of Nonlinear Filtering , 2008 .
[260] K. Forsman. Constructive Commutative Algebra in Nonlinear Control Theory , 1991 .
[261] Patrick Robertson,et al. Characterization of the indoor magnetic field for applications in Localization and Mapping , 2012, 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN).
[262] I-Ming Chen,et al. 3-D Localization of Human Based on an Inertial Capture System , 2013, IEEE Transactions on Robotics.
[263] R. Mahony,et al. Complementary filter design on the Special Euclidean group SE(3) , 2007, 2007 European Control Conference (ECC).
[264] Per-Johan Nordlund,et al. Efficient Estimation and Detection Methods for Airborne Applications , 2008 .
[265] Simo Särkkä,et al. Sequential Inference for Latent Force Models , 2011, UAI.
[266] D. Roetenberg,et al. Xsens MVN: Full 6DOF Human Motion Tracking Using Miniature Inertial Sensors , 2009 .
[267] Martin A. Skoglund. Inertial Navigation and Mapping for Autonomous Vehicles , 2014 .
[268] Bradley M. Bell,et al. The Iterated Kalman Smoother as a Gauss-Newton Method , 1994, SIAM J. Optim..
[269] Johan Dahlin,et al. Real-time video based lighting using GPU raytracing , 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).
[270] Marco F. Huber. Recursive Gaussian process: On-line regression and learning , 2014, Pattern Recognit. Lett..
[271] Mohammed Khider,et al. Simultaneous Localization and Mapping for pedestrians using distortions of the local magnetic field intensity in large indoor environments , 2013, International Conference on Indoor Positioning and Indoor Navigation.
[272] Daniel Axehill,et al. Integer Quadratic Programming for Control and Communication , 2008 .
[273] G. Bellusci,et al. Xsens MVN MotionGrid : Drift-Free Human Motion Tracking Using Tightly Coupled Ultra-Wideband and Miniature Inertial Sensors , 2011 .
[274] Gerhard Kurz,et al. Unscented Orientation Estimation Based on the Bingham Distribution , 2013, IEEE Transactions on Automatic Control.
[275] Jeroen D. Hol,et al. Sensor Fusion and Calibration of Inertial Sensors, Vision, Ultra-Wideband and GPS , 2011 .
[276] Thomas B. Schön,et al. Robust real-time tracking by fusing measurements from inertial and vision sensors , 2007, Journal of Real-Time Image Processing.
[277] YangQuan Chen,et al. Autopilots for small unmanned aerial vehicles: A survey , 2010 .
[278] Gonzalo Seco-Granados,et al. Statistical Trilateration With Skew-t Distributed Errors in LTE Networks , 2016, IEEE Transactions on Wireless Communications.
[279] Daniel Axehill,et al. Extended Kalman filter modifications based on an optimization view point , 2015, 2015 18th International Conference on Information Fusion (Fusion).
[280] Sylvain Pittet,et al. UWB and MEMS Based Indoor Navigation , 2008, Journal of Navigation.
[281] P. Veltink,et al. Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[282] Thomas B. Schön,et al. Nonlinear state space smoothing using the conditional particle filter , 2015, ArXiv.
[283] B. Wahlberg. On the Identification and Approximation of Linear Systems , 1987 .
[284] Fredrik Tjärnström,et al. Variance Expressions and Model Reduction in System Identification , 2002 .
[285] Patrick Robertson,et al. Magnetic maps of indoor environments for precise localization of legged and non-legged locomotion , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[286] P H Veltink,et al. Ambulatory measurement of arm orientation. , 2007, Journal of biomechanics.