Statistical Sensor Calibration Algorithms

The use of sensors is ubiquitous in our IT-based society; smartphones, consumer electronics, wearable devices, healthcare systems, industries, and autonomous cars, to name but a few, rely on quanti ...

[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.