Statistical Sensor Calibration Algorithms
暂无分享,去创建一个
[1] C. Striebel,et al. On the maximum likelihood estimates for linear dynamic systems , 1965 .
[2] Jochen Meidow,et al. Calibration of a multi-beam Laser System by using a TLS-generated Reference , 2013 .
[3] Chia-Yen Chen,et al. On-Site Sensor Recalibration of a Spinning Multi-Beam LiDAR System Using Automatically-Detected Planar Targets , 2012, Sensors.
[4] Derek D. Lichti,et al. Temporal Stability of the Velodyne HDL-64E S2 Scanner for High Accuracy Scanning Applications , 2011, Remote. Sens..
[5] Kaare Brandt Petersen,et al. The Matrix Cookbook , 2006 .
[6] John L. Carlsten,et al. Detecting mode hopping in semiconductor lasers by monitoring intensity noise , 1993 .
[7] Paul Newman,et al. Self-calibration for a 3D laser , 2012, Int. J. Robotics Res..
[8] Lindsay Kleeman. Advanced sonar and odometry error modeling for simultaneous localisation and map building , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).
[9] Ch.S. Roumenin,et al. Calibration and interface of a polaroid ultrasonic sensor for mobile robots , 2007 .
[10] Steven Kay,et al. Fundamentals Of Statistical Signal Processing , 2001 .
[11] Alex Foessel-Bunting. Radar sensor model for three-dimensional map building , 2001, SPIE Optics East.
[12] Yongtian Wang,et al. A low-cost dynamic range-finding device based on amplitude-modulated continuous ultrasonic wave , 2002, IEEE Trans. Instrum. Meas..
[13] Burcu Akinci,et al. Quantification of edge loss of laser scanned data at spatial discontinuities , 2009 .
[14] J. Hawkes,et al. Lasers : theory and practice , 1995 .
[15] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[16] Andrej Babinec,et al. Versatile Approach to Probabilistic Modeling of Hokuyo UTM-30LX , 2016, IEEE Sensors Journal.
[17] Stephen Gareth Pierce,et al. Quantifying and Improving Laser Range Data When Scanning Industrial Materials , 2016, IEEE Sensors Journal.
[18] Martial Hebert,et al. 3-D measurements from imaging laser radars: how good are they? , 1991, Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91.
[19] R. Shumway,et al. AN APPROACH TO TIME SERIES SMOOTHING AND FORECASTING USING THE EM ALGORITHM , 1982 .
[20] A. Harvey. Estimating Regression Models with Multiplicative Heteroscedasticity , 1976 .
[21] Paulo G. Costa,et al. Modeling and Simulation of a Hacked Neato XV-11 Laser Scanner , 2015, ROBOT.
[22] Antoni Burguera,et al. Sonar Sensor Models and Their Application to Mobile Robot Localization , 2009, Sensors.
[23] Duane Brown. AN ADVANCED REDUCTION AND CALIBRATION FOR PHOTOGRAMMETRIC CAMERAS , 1964 .
[24] Derek D. Lichti,et al. Static Calibration and Analysis of the Velodyne HDL-64E S2 for High Accuracy Mobile Scanning , 2010, Remote. Sens..
[25] Roland Siegwart,et al. Characterization of the compact Hokuyo URG-04LX 2D laser range scanner , 2009, 2009 IEEE International Conference on Robotics and Automation.
[26] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[27] Alonzo Kelly,et al. Linearized Error Propagation in Odometry , 2004, Int. J. Robotics Res..
[28] Can Ulas Dogruer,et al. Online Identification of Odometer Parameters of a Mobile Robot , 2014, SOCO-CISIS-ICEUTE.
[29] Aki Vehtari,et al. Comparison of Bayesian predictive methods for model selection , 2015, Stat. Comput..
[30] Jeroen D. Hol,et al. Sensor Fusion and Calibration of Inertial Sensors, Vision, Ultra-Wideband and GPS , 2011 .
[31] José-Joel Gonzalez-Barbosa,et al. LIDAR Velodyne HDL-64E Calibration Using Pattern Planes , 2011 .
[32] A. Gelman,et al. Weak convergence and optimal scaling of random walk Metropolis algorithms , 1997 .
[33] D. Rubin,et al. Inference from Iterative Simulation Using Multiple Sequences , 1992 .
[34] Damiano Varagnolo,et al. Modeling and Calibrating Triangulation Lidars for Indoor Applications , 2016, ICINCO.
[35] A. Doucet,et al. A Tutorial on Particle Filtering and Smoothing: Fifteen years later , 2008 .
[36] Hossein Pishro-Nik,et al. Introduction to Probability, Statistics, and Random Processes , 2014 .
[37] Hisashi Tanizaki,et al. POSTERIOR ANALYSIS OF THE MULTIPLICATIVE HETEROSCEDASTICITY MODEL , 2001 .
[38] Ruggero Carli,et al. A randomized linear algorithm for clock synchronization in multi-agent systems , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).
[39] James J. Filliben,et al. NIST/SEMATECH e-Handbook of Statistical Methods; Chapter 1: Exploratory Data Analysis , 2003 .
[40] H. Akaike. A new look at the statistical model identification , 1974 .
[41] Wolfram Burgard,et al. Simultaneous calibration, localization, and mapping , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[42] Thomas Bo Schön,et al. Maximum Likelihood Nonlinear System Estimation , 2006 .
[43] Paulo Costa,et al. Modeling of a Low Cost Laser Scanner Sensor , 2015 .
[44] Michèle Basseville,et al. Detection of abrupt changes: theory and application , 1993 .
[45] H. White. A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity , 1980 .
[46] R. Kashyap. Inconsistency of the AIC rule for estimating the order of autoregressive models , 1980 .
[47] Andrew Gelman,et al. General methods for monitoring convergence of iterative simulations , 1998 .
[48] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[49] Madeleine B. Thompson. A Comparison of Methods for Computing Autocorrelation Time , 2010, 1011.0175.
[50] Thomas B. Schön,et al. An Explanation of the Expectation Maximization Algorithm , 2009 .
[51] B. Tell,et al. TEMPERATURE-DEPENDENCE OF GAAS-ALGAAS VERTICAL CAVITY SURFACE EMITTING LASERS , 1992 .
[52] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[53] Simo Särkkä,et al. Bayesian Filtering and Smoothing , 2013, Institute of Mathematical Statistics textbooks.
[54] Alonzo Kelly,et al. Experimental Characterization of Commercial Flash Ladar Devices , 2005 .
[55] Olle Häggström. Finite Markov Chains and Algorithmic Applications , 2002 .
[56] R. Park. Estimation with Heteroscedastic Error Terms , 1966 .
[57] Fredrik Gustafsson,et al. Statistical Sensor Fusion , 2013 .
[58] Damiano Varagnolo,et al. Joint Temperature-Lasing Mode Compensation for Time-of-Flight LiDAR Sensors , 2015, Sensors.
[59] J. Jensen. Sur les fonctions convexes et les inégalités entre les valeurs moyennes , 1906 .
[60] Donald Geman,et al. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images , 1984 .
[61] Damiano Varagnolo,et al. Statistical Modeling and Calibration of Triangulation Lidars , 2016, ICINCO.
[62] Bradley P. Carlin,et al. Bayesian measures of model complexity and fit , 2002 .
[63] S. Kullback,et al. Information Theory and Statistics , 1959 .
[64] George E. P. Box,et al. Correcting Inhomogeneity of Variance with Power Transformation Weighting , 1974 .
[65] P. McCullagh. What is a statistical model , 2002 .
[66] Sebastian Thrun,et al. Unsupervised Intrinsic Calibration of Depth Sensors via SLAM , 2013, Robotics: Science and Systems.
[67] Duane C. Brown,et al. Close-Range Camera Calibration , 1971 .
[68] Eduard Gregorio-Lopez,et al. Characterisation of the LMS200 Laser Beam under the Influence of Blockage Surfaces. Influence on 3D Scanning of Tree Orchards , 2011, Sensors.
[69] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[70] A. Doucet,et al. Monte Carlo Smoothing for Nonlinear Time Series , 2004, Journal of the American Statistical Association.
[71] Zhengyou Zhang,et al. A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[72] T. Ando. Bayesian predictive information criterion for the evaluation of hierarchical Bayesian and empirical Bayes models , 2007 .
[73] Roland Siegwart,et al. Simultaneous localization and odometry self calibration for mobile robot , 2007, Auton. Robots.
[74] Paul R. Cohen,et al. Camera Calibration with Distortion Models and Accuracy Evaluation , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[75] Craig Glennie,et al. Calibration and Kinematic Analysis of the Velodyne HDL-64E S2 Lidar Sensor , 2012 .
[76] Damiano Varagnolo,et al. Calibrating Distance Sensors for Terrestrial Applications Without Groundtruth Information , 2017, IEEE Sensors Journal.
[77] Thomas B. Schön,et al. System identification of nonlinear state-space models , 2011, Autom..
[78] Jian Li,et al. On information criteria and the generalized likelihood ratio test of model order selection , 2004, IEEE Signal Processing Letters.
[79] Brigitte Maier. Handbook Of Modern Sensors Physics Designs And Applications , 2016 .
[80] Faraz M. Mirzaei,et al. Extrinsic and intrinsic sensor calibration , 2013 .
[81] A. Bensrhair,et al. Sensors for Obstacle Detection - A Survey , 2007, 2007 30th International Spring Seminar on Electronics Technology (ISSE).
[82] Lindsay Kleeman,et al. Accurate odometry and error modelling for a mobile robot , 1997, Proceedings of International Conference on Robotics and Automation.
[83] Robert H. Shumway,et al. Time series analysis and its applications : with R examples , 2017 .
[84] Kurt Konolige,et al. A low-cost laser distance sensor , 2008, 2008 IEEE International Conference on Robotics and Automation.
[85] Antonio Reina,et al. Characterization of a radial laser scanner for mobile robot navigation , 1997, Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97.
[86] Clifford M. Hurvich,et al. A CORRECTED AKAIKE INFORMATION CRITERION FOR VECTOR AUTOREGRESSIVE MODEL SELECTION , 1993 .
[87] F. Vaida. PARAMETER CONVERGENCE FOR EM AND MM ALGORITHMS , 2005 .
[88] Kyeong-Hwan Lee,et al. Comparison of two 2D laser scanners for sensing object distances, shapes, and surface patterns , 2008 .
[89] J. Cavanaugh. Unifying the derivations for the Akaike and corrected Akaike information criteria , 1997 .
[90] Simon Lacroix,et al. Calibration of a rotating multi-beam lidar , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[91] J. Geweke,et al. Bayesian Treatment of the Independent Student- t Linear Model , 1993 .
[92] T. Ando. Predictive Bayesian Model Selection , 2011 .
[93] Y. Selen,et al. Model-order selection: a review of information criterion rules , 2004, IEEE Signal Processing Magazine.
[94] Dimitrios G. Kottas,et al. 3D LIDAR–camera intrinsic and extrinsic calibration: Identifiability and analytical least-squares-based initialization , 2012, Int. J. Robotics Res..
[95] S. S. Wilks. The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses , 1938 .
[96] Ying Lin,et al. 3D LIDAR-Camera Extrinsic Calibration Using an Arbitrary Trihedron , 2013, Sensors.
[97] Brett Ninness,et al. Robust maximum-likelihood estimation of multivariable dynamic systems , 2005, Autom..
[98] Cang Ye,et al. Characterization of a 2D laser scanner for mobile robot obstacle negotiation , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).
[99] Kyungeun Cho,et al. Calibration between Color Camera and 3D LIDAR Instruments with a Polygonal Planar Board , 2014, Sensors.