Publications

There is also a pdf-file available for download, please click here.

Bibliometric information (Google Scholar) is available here.
Researchgate profile is available here.
Orcid is available here.


Working manuscripts (pre-prints available upon request)

[WM1] Thomas B. Schön and Fredrik Lindsten. Learning of dynamical systems - Particle filters and Markov chain methods, 2016.

[WM2] Fredrik Lindsten, Pete Bunch, Sumeetpal S. Singh and Thomas B. Schön. Particle ancestor sampling for near-degenerate or intractable state transition models. Submitted, July, 2015. [arXiv]

[WM3] Johan Dahlin and Thomas B. Schön. Getting started with particle Metropolis-Hastings for inference in nonlinear dynamical models. Submitted, January 2016. [arXiv] [code]

[WM4] Arno Solin, Manon Kok, Niklas Wahlström, Thomas B. Schön and Simo Särkkä. Modeling and interpolation of the ambient magnetic field by Gaussian processes. Submitted, September, 2016. [arXiv] [video]

[WM5] Christian A. Naesseth, Fredrik Lindsten and Thomas B. Schön. High-dimensional filtering using nested sequential Monte Carlo. December, 2016. [arXiv]

[WM6] Pierre E. Jacob, Fredrik Lindsten and Thomas B. Schön. Smoothing with couplings of conditional particle filters. Pre-print arXiv, January, 2017. [arXiv]

[WM7] Andreas Svensson, Thomas B. Schön and Fredrik Lindsten. Learning of state-space models with highly informative observations: a tempered Sequential Monte Carlo solution. Submitted, February, 2017. [arXiv]

[WM8] Thomas B. Schön, Andreas Svensson, Lawrence Murray and Fredrik Lindsten. Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo. Submitted, February, 2017. [arXiv] [code]

[WM9] Jack Umenberger, Johan Wågberg, Ian Manchester and Thomas B. Schön. Linear system identification via EM with latent disturbances and Lagrangian relaxation. Provisionally accepted, February, 2017. [arXiv]

[WM10] Carl Jidling, Niklas Wahlström, Adrian Wills and Thomas B. Schön. Linearly constrained Gaussian processes. Pre-print arXiv:1703:00787, February, 2017. [arXiv]

[WM11] Dave Zachariah, Petre Stoica and Thomas B. Schön. Online learning for distribution-free prediction. Pre-print arXiv:1703.05060. [arXiv]

[WM12] Adrian G. Wills and Thomas B. Schön. On the construction of probabilistic Newton-type algorithms. Submitted. March, 2017. [arXiv]

[WM13] Manon Kok, Jeroen Hol and Thomas B. Schön. Using inertial sensors for position and orientation estimation. Submitted, April, 2017. [arXiv]

[WM14] Hildo Bijl, Thomas B. Schön, Jan-Willem van Wingerden and Michel Verhaegen. System identification through online sparse Gaussian process regression with input noise. Submitted, May, 2017.

[WM15] Hildo Bijl, Thomas B. Schön, Jan-Willem van Wingerden and Michel Verhaegen. A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization. Submitted, May, 2017. [arXiv]


Journal papers

[J29] Patricio E. Valenzuela, Thomas B. Schön and Cristian R. Rojas. On model order priors for Bayesian identification of SISO linear systemsInternational Journal of Control, 2017. (Provisionally accepted for publication)

[J28] Andreas Svensson and Thomas B. Schön. A flexible state space model for learning nonlinear dynamical systems. Automatica, 80:189-199, June, 2017. [pdf] [ScienceDirect] [code]

[J27] Fredrik Lindsten, Adam M. Johansen, Christian A. Naesseth, Bonnie Kirkpatrick, Thomas B. Schön, John Aston and Alexandre Bouchard-Côté. Divide-and-Conquer with Sequential Monte CarloJournal of Computational and Graphical Statistics (JCGS), 26(2):445-458, 2017. [JCGS] [arXiv]

[J26] Patricio E. Valenzuela, Johan Dahlin, Cristian R. Rojas, Thomas B. Schön. On robust input design for nonlinear dynamical models. Automatica, 77:268-278, March 2017. [pdf] [ScienceDirect]

[J25] Manon Kok and Thomas B. Schön. Magnetometer calibration using inertial sensorsIEEE Sensors Journal, 16(14):5679-5689, July, 2016. [pdf] [IEEE]

[J24] Hildo Bijl, Jan-Willem van Wingerden, Thomas B. Schön and Michel Verhaegen. Mean and variance of the LQG cost function. Automatica, 67(5):216-223, May 2016. [pdf] [ScienceDirect]

[J23] Liang Dai and Thomas B. Schön. Using convolution to estimate the score function for intractable state transition modelsIEEE Signal Processing Letters, 23(4):498–501, April, 2016. [pdf] [IEEE]

[J22] Fredrik Lindsten, Pete Bunch, Simo Särkkä, Thomas B. Schön and Simon J. Godsill. Rao-Blackwellized particle smoothers for conditionally linear Gaussian models. IEEE Journal of Selected Topics in Signal Processing, 10(2):353-365, 2016. [arXiv] [IEEE]

[J21] Liang Dai and Thomas B. Schön. On the exponential convergence of the Kaczmarz algorithm. IEEE Signal Processing Letters, 22(10):1571-1574, October 2015. [pdf] [IEEE]

[J20] Liang Dai and Thomas B. Schön. A new structure exploiting derivation of recursive direct weight optimizationIEEE Transactions on Automatic Control, 60(6):1683-1685, June 2015. [pdf] [IEEE]

[J19] Manon Kok, Jeroen D. Hol and Thomas B. Schön. Indoor positioning using ultrawideband and inertial measurementsIEEE Transactions on Vehicular Technology, 64(4):1293-1303, April, 2015. [pdf] [IEEE]

[J18] Johan Dahlin, Fredrik Lindsten and Thomas B. Schön. Particle Metropolis Hastings using gradient and Hessian information. Statistics and Computing, 25(1):81-92, January 2015. [pdf] [Springer] [code] (see also the introduction to our work, given here).

[J17] Fredrik Lindsten, Michael I. Jordan and Thomas B. Schön. Particle Gibbs with ancestor sampling.  Journal of Machine Learning Research (JMLR), 15:2145-2184, June 2014. [pdf] [JMLR]

[J16] Fredrik Lindsten and Thomas B. Schön. Backward simulation methods for Monte Carlo statistical inferenceFoundations and Trends in Machine Learning, 6(1):1-143, 2013. [pdf] [now]

[J15] Fredrik Lindsten, Thomas B. Schön and Michael I. Jordan. Bayesian semiparametric Wiener system identificationAutomatica, 49(7):2053-2063, July 2013. [pdf] [Automatica]

[J14] Adrian Wills, Thomas B. Schön, Lennart Ljung and Brett Ninness. Identification of Hammerstein-Wiener modelsAutomatica, 49(1):70-81, January 2013. [pdf] [Automatica]

[J13] Karl Granström, Thomas B. Schön, Juan I. Nieto, and Fabio T. Ramos. Learning to close loops from range dataInternational Journal of Robotics Research 30(14):1728-1754, December 2011. [pdf] [IJRR]

[J12] Christian Lundquist and Thomas B. Schön. Joint ego-motion and road geometry estimationInformation Fusion, 12(4):253-263, October 2011. [pdf] [Elsevier]

[J11] Xiao-Li Hu, Thomas B. Schön and Lennart Ljung. A general convergence result for particle filteringIEEE Transactions on Signal Processing, 59(7):3424-3429, July 2011. [pdf] [IEEE]

[J10] Tianshi Chen, Thomas B. Schön, Henrik Ohlsson and Lennart Ljung. Decentralized particle filter with arbitrary state decomposition. IEEE Transactions on Signal Processing, 59(2):465-478, February 2011. [pdf] [IEEE]

[J9] Thomas B. Schön, Adrian Wills and Brett Ninness. System identification of nonlinear state-space models. Automatica, 47(1):39-49, January 2011. [pdf] [Automatica] [Code] Awarded Automatica best paper prize 2014 [Automatica].

[J8] Jeroen D. Hol, Thomas B. Schön and Fredrik Gustafsson. Modeling and calibration of inertial and vision sensors. International Journal of Robotics Research (IJRR), 29(2):231-244, February 2010. [pdf] [IJRR] [Data set]

[J7] David Törnqvist, Thomas B. Schön, Rickard Karlsson and Fredrik Gustafsson. Particle filter SLAM with high dimensional vehicle model. Journal of Intelligent and Robotic Systems, 55(4-5):249-266, August 2009. [pdf] [Springer]

[J6] Xiao-Li Hu, Thomas B. Schön and Lennart Ljung. A basic convergence result for particle filtering. IEEE Transactions on Signal Processing, 56(4):1337-1348, April 2008. [pdf] [IEEE]

[J5] Jeroen D. Hol, Thomas B. Schön, Henk Luinge, Per J. Slycke and Fredrik Gustafsson. Robust real-time tracking by fusing measurements from inertial and vision sensors. Journal of Real-Time Image Processing, 2(2):149-160, 2007. [pdf] [Springer] 

[J4] J, Chandaria, G. Thomas, B. Bartczak, K. Koeser, R. Koch, M. Becker, G. Bleser, D. Stricker, C. Wohlleber, M. Felsberg, F. Gustafsson, J. D. Hol, T. B. Schön, J. Skoglund, P. J. Slycke, and S. Smeitz. Realtime camera tracking in the MATRIS project. SMPTE Motion Imaging Journal, 116(7-8):266-271, July-August 2007. [SMPTE]

[J3] Markus Gerdin, Thomas B. Schön, Torkel Glad, Fredrik Gustafsson and Lennart Ljung. On parameter and state estimation for linear differential-algebraic equations. Automatica, 43(3):416-425, March 2007. [pdf] [Automatica]

[J2] Rickard Karlsson, Thomas Schön and Fredrik Gustafsson. Complexity analysis of the marginalized particle filter. IEEE Transactions on Signal Processing, 53(11):4408-4411, November 2005. [pdf] [IEEE]

[J1] Thomas Schön, Fredrik Gustafsson, and Per-Johan Nordlund. Marginalized particle filters for mixed linear/nonlinear state-space models. IEEE Transactions on Signal Processing, 53(7):2279-2289, July 2005. [pdf] [code] [IEEE]



Book chapters

[BC4] Thomas B. Schön. Nonlinear system identification using particle filtersEncyclopedia of Systems and Control (Eds. T. Samad and J. Baillieul) Springer, 2015. [pdf] [Springer]

[BC3] Christian Lundquist, Thomas B. Schön and Fredrik Gustafsson. Situational awareness and road prediction for trajectory control applications. Handbook of Intelligent Vehicles (Ed. A. Eskandarian), Springer, 2012. [pdf] [Springer]

[BC2] Fredrik Gustafsson, Umut Orguner, Thomas B. Schön, Per Skoglar and Rickard Karlsson. Navigation and tracking of road-bound vehicles. Handbook of Intelligent Vehicles (Ed. A. Eskandarian), Springer, 2012. [pdf] [Springer]

[BC1] Thomas B. Schön, Fredrik Gustafsson and Rickard Karlsson. The particle filter in practice. The Oxford Handbook of Nonlinear Filtering (Eds. D. Crisan and B. Rozovskii), Oxford University Press, 2011. [pdf] [Oxford]



Conference papers

[C96] Li-Hui Geng, Brett Ninness, Adrian G. Wills and Thomas B. Schön. Smoothed state estimation via efficient solution of linear equationsIn Proceedings of the 20th World Congress of the International Federation of Automatic Control (IFAC), Toulouse, France, July, 2017.

[C95] Johan Wågberg, Dave Zachariah, Thomas B. Schön and Petre Stoica. Prediction performance after learning in Gaussian process regression. In Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS), Fort Lauderdale, FL, USA, April, 2017. [pdf] [PMLR] [arXiv]

[C94] Patricio E. Valenzuela, Johan Dahlin, Cristian R. Rojas and Thomas B. Schön. Particle-based Gaussian process optimization for input design in nonlinear dynamical models. In Proceedings of the 55th IEEE Conference on Decision and Control (CDC), Las Vegas, NV, USA, December, 2016. [IEEE] [arXiv]

[C93] Manon Kok, Sina Khoshfetrat Pakazad, Thomas B. Schön, Anders Hansson and Jeroen D. Hol. A scalable and distributed solution to the inertial motion capture problem. In Proceedings of the 19th International conference on information fusion, Heidelberg, Germany, July, 2016. [pdf] [IEEE]

[C92] Fredrik Olsson, Manon Kok, Kjartan Halvorsen and Thomas B. Schön. Accelerometer calibration using sensor fusion with a gyroscope. In Proceedings of the IEEE Workshop on Statistical Signal Processing (SSP), Palma de Mallorca, Spain, June, 2016. [pdf] [IEEE]

[C91] Andreas Svensson, Arno Solin, Simo Särkkä and Thomas B. Schön. Computationally efficient Bayesian learning of Gaussian process state space models. In Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS), Cadiz, Spain, May, 2016. [pdf] [AISTATS]

[C90] Andreas Svensson, Thomas B. Schön, Arno Solin, and Simo Särkkä. Nonlinear state space model identification using a regularized basis function expansion. In Proceedings of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Cancun, Mexico, December 2015. [arXiv] [IEEE]

[C89] Andreas Svensson, Johan Dahlin and Thomas B. Schön. Marginalizing Gaussian process hyperparameters using sequential Monte Carlo methods. In Proceedings of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Cancun, Mexico, December 2015. [arXiv] [IEEE]

[C88] Joel Kronander, Thomas B. Schön and Jonas Unger. Pseudo-marginal Metropolis light transport. In Proceedings of SIGGRAPH Asia Technical Briefs, Kobe, Japan, November 2015. [pdf] [ACM]

[C87] Andreas Svensson, Thomas B. Schön and Manon Kok. Nonlinear state space smoothing using the conditional particle filter. In Proceedings of the 17th IFAC Symposium on System Identification (SYSID), Beijing, China, October 2015. [pdf] [ScienceDirect] [arXiv]

[C86] Johan Dahlin, Fredrik Lindsten and Thomas B. Schön, Quasi-Newton particle Metropolis-Hastings. In Proceedings of the 17th IFAC Symposium on System Identificationn (SYSID), Beijing, China, October 2015. [pdf] [ScienceDirect] [arXiv] [code]

[C85] Niklas Wahlström, Thomas B. Schön and Marc Peter Deisenroth. Learning deep dynamical models from image pixels. In Proceedings of the 17th IFAC Symposium on System Identification (SYSID), Beijing, China, October 2015. [pdf] [ScienceDirect] (See also [CA6] for important developments)

[C84] Hildo Bijl, Jan-Willem van Wingerden, Thomas B. Schön and Michel Verhaegen. Online sparse Gaussian process regression using FITC and PITC approximations. In Proceedings of the 17th IFAC Symposium on System Identification (SYSID), Beijing, China, October 2015. [pdf] [ScienceDirect]

[C83] Jerker Nordh, Torbjörn Wigren, Thomas B. Schön and Bo Bernhardsson. Particle filtering based identification for autonomous nonlinear ODE models. In Proceedings of the 17th IFAC Symposium on System Identification (SYSID), Beijing, China, October 2015. [pdf] [ScienceDirect]

[C82] Manon Kok, Johan Dahlin, Thomas B. Schön and Adrian Wills. Newton-based maximum likelihood estimation in nonlinear state space models. In Proceedings of the 17th IFAC Symposium on System Identification (SYSID), Beijing, China, October 2015. [pdf] [ScienceDirect] [arXiv] [code]

[C81] Johan Wågberg, Fredrik Lindsten and Thomas B. Schön. Bayesian nonparametric identification of piecewise affine ARX systems. In Proceedings of the 17th IFAC Symposium on System Identification (SYSID), Beijing, China, October 2015. [pdf] [ScienceDirect]

[C80] Jack Umenberger, Johan Wågberg, Ian R. Manchester and Thomas B. Schön. On identification via EM with latent disturbances and Lagrangian relaxation. In Proceedings of the 17th IFAC Symposium on System Identification (SYSID), Beijing, China, October 2015. [pdf] [ScienceDirect]

[C79] Thomas B. Schön, Fredrik Lindsten, Johan Dahlin, Johan Wågberg, Christian A. Naesseth, Andreas Svensson and Liang Dai. Sequential Monte Carlo methods for system identification. In Proceedings of the 17th IFAC Symposium on System Identification (SYSID), Beijing, China, October 2015. [pdf] [ScienceDirect] [arXiv] [Code]

[C78] Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön. Nested sequential Monte Carlo methods. In Proceedings of the 32nd International Conference on Machine Learning (ICML), Lille, France, July, 2015. [ICML] [arXiv] [video] [code]

[C77] Christian A. Naesseth, Fredrik Lindsten and Thomas B. Schön. Sequential Monte Carlo methods for graphical modelsAdvances in Neural Information Processing Systems (NIPS) 27, Montreal, Quebec, Canada, December, 2014. [pdf] [NIPS] [code] [video]

[C76] Andreas Svensson, Thomas B. Schön and Fredrik Lindsten. Identification of jump Markov linear models using particle filters. In Proceedings of the 53rd IEEE Conference on Decision and Control (CDC), Los Angeles, CA, USA, December, 2014. [pdf] [code] [IEEE]

[C75] Christian A. Naesseth, Fredrik Lindsten and Thomas B. Schön. Capacity estimation of two-dimensional channels using Sequential Monte CarloIn Proceedings of the IEEE Information Theory Workshop (ITW), Hobart, Tasmania, Australia, November, 2014. [pdf] [code] [IEEE] (See also [C77] for important developments)

[C74] Joel Kronander, Johan Dahlin, Daniel Jönsson, Manon Kok, Thomas B. Schön and Jonas Unger. Real-time video based lighting using GPU raytracing. In Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), Lisabon, Portugal, September 2014. [pdf] [IEEE]

[C73] Roger Frigola, Fredrik Lindsten, Thomas B. Schön and Carl E. Rasmussen. Identification of Gaussian Process state-space models with particle stochastic approximation EM. In Proceedings of the 19th World Congress of the International Federation of Automatic Control (IFAC), Cape Town, South Africa, August 2014. [pdf] [ScienceDirect] (See also [C90] and [C91] for important developments)

[C72] Manon Kok and Thomas B. Schön. Maximum likelihood calibration of a magnetometer using inertial sensors. In Proceedings of the 19th World Congress of the International Federation of Automatic Control (IFAC), Cape Town, South Africa, August 2014. [pdf] [ScienceDirect]

[C71] Manon Kok, Jeroen D. Hol and Thomas B. Schön. An optimization-based approach to human body motion capture using inertial sensors. In Proceedings of the 19th World Congress of the International Federation of Automatic Control (IFAC), Cape Town, South Africa, August 2014. [pdf] [ScienceDirect] Honorable mention, nominated for the best application paper prize.

[C70] Johan Dahlin, Fredrik Lindsten and Thomas B. Schön. Second-order Particle MCMC for Bayesian parameter inference. In Proceedings of the 19th World Congress of the International Federation of Automatic Control (IFAC), Cape Town, South Africa, August 2014. [pdf] [ScienceDirect] [code] (note that there is a more complete journal version [J18] available for this work)

[C69] Patricio E. Valenzuela, Johan Dahlin, Cristian R. Rojas and Thomas B. Schön. A graph/particle-based method for experiment design in nonlinear systems. In Proceedings of the 19th World Congress of the International Federation of Automatic Control (IFAC), Cape Town, South Africa, August 2014. [pdf] [ScieceDirect] (note that there is a more complete journal version [J25] available for this work)

[C68] André Carvalho Bittencourt and Thomas B. Schön. Data-driven anomaly detection based on a bias chenge model. In Proceedings of the 19th World Congress of the International Federation of Automatic Control (IFAC), Cape Town, South Africa, August 2014. [pdf]

[C67] Joel Kronander and Thomas B. Schön. Robust auxiliary particle filters using multiple importance sampling. In Proceedings of the IEEE Statistical Signal Processing Workshop (SSP), Gold Coast, Australia, July 2014.  [pdf] [code] [IEEE]

[C66] Joel Kronander, Thomas B. Schön and Johan Dahlin. Backward sequential Monte Carlo for marginal smoothing. In Proceedings of the IEEE Statistical Signal Processing Workshop (SSP), Gold Coast, Australia, July 2014. [pdf] [IEEE]

[C65] Daniel Hultqvist, Jacob Roll, Fredrik Svensson, Johan Dahlin and Thomas B. Schön. Detecting and positioning of overtaking vehicles using 1D optical flow. in Proceedings of the IEEE Intelligent Vehicles (IV) Symposium, Dearborn, MI, USA, June 2014. [pdf] [IEEE]

[C64] Roger Frigola, Fredrik Lindsten, Thomas B. Schön and Carl E. Rasmussen. Bayesian inference and learning in Gaussian process state-space models with particle MCMCAdvances in Neural Information Processing Systems (NIPS) 26, Lake Tahoe, NV, USA, December, 2013. [pdf] [supplemental] [NIPS] (See also [C73], [C90] and [C91] for important developments)

[C63] Fredrik Lindsten, Pete Bunch, Simon J. Godsill and Thomas B. Schön. Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models, in Proceedings of the 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013. [pdf] [IEEE] (note that there is a more complete journal version [J22] available for this work)

[C62] Manon Kok, Niklas Wahlström, Thomas B. Schön and Fredrik Gustafsson. MEMS-based inertial navigation based on a magnetic field map, in Proceedings of the 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013. [pdf] [IEEE] 

[C61] Niklas Wahlström, Manon Kok, Thomas B. Schön and Fredrik Gustafsson. Modeling magnetic fields using Gaussian processes, in Proceedings of the 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013. [pdf] [IEEE] 

[C60] Johan Dahlin, Fredrik Lindsten and Thomas B. Schön. Particle Metropolis Hastings using Langevin dynamics, in Proceedings of the 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013. [pdf] [code] [IEEE] (note that there is a more complete journal version [J18] available for this work)

[C59] Ehsan Taghavi, Fredrik Lindsten, Lennart Svensson and Thomas B. Schön. Adaptive stopping for fast particle smoothing, in Proceedings of the 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013. [pdf] [IEEE] 

[C58] Fredrik Lindsten, Michael I. Jordan and Thomas B. Schön, Ancestor sampling for particle Gibbs, in Advances in Neural Information Processing Systems (NIPS) 25, 2012. [pdf] [supplemental] [NIPS] (note that there is a more complete journal version [J17] available for this work)

[C57] Manon Kok, Jeroen Hol, Thomas B. Schön, Fredrik Gustafsson, Henk Luinge, Calibration of a magnetometer in combination with inertial sensors, in Proceedings of the 15th International Conference on Information Fusion, Singapore, July 2012. [pdf] [IEEE] (See also [C72] for an improved continuation of this work)

[C56] Tohid Ardeshiri, Umut Orguner, Christian Lundquist, Thomas B. Schön, On mixture reduction for multiple target tracking, in Proceedings of the 15th International Conference on Information Fusion, Singapore, July 2012. [pdf] [IEEE]

[C55] Fredrik Lindsten, Thomas B. Schön and Michael I. Jordan, A semiparametric Bayesian approach to Wiener system identification, in Proceedings of the 16th IFAC Symposium on System Identification (SYSID), Brussels, Belgium, July 2012. [pdf] [code] [IFAC] (note that there is a more complete journal version [J15] available for this work)

[C54] Johan Dahlin, Fredrik Lindsten, Thomas B. Schön and Adrian Wills, Hierarchical Bayesian ARX models for robust inference, in Proceedings of the 16th IFAC Symposium on System Identification (SYSID), Brussels, Belgium, July 2012. [pdf] [Code] [IFAC]

[C53] Fredrik Lindsten, Thomas B. Schön and Lennart Svensson, A non-degenerate Rao-Blackwellised particle filter for estimating static parameters in dynamical models, in Proceedings of the 16th IFAC Symposium on System Identification (SYSID), Brussels, Belgium, July 2012. [pdf] [IFAC]

[C52] Soren Henriksen, Adrian Wills, Thomas B. Schön and Brett Ninness, Parallel implementation of particle MCMC methods on a GPU, in Proceedings of the 16th IFAC Symposium on System Identification (SYSID), Brussels, Belgium, July 2012. [pdf] [IFAC]

[C51] Adrian Wills, Thomas B. Schön, Fredrik Lindsten and Brett Ninness, Estimation of linear systems using a Gibbs sampler, in Proceedings of the 16th IFAC Symposium on System Identification (SYSID), Brussels, Belgium, July 2012. [pdf] [IFAC]

[C50] Fredrik Lindsten and Thomas B. Schön. On the use of backward simulation in the particle Gibbs sampler, in Proceedings of the 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Kyoto, Japan, March 2012. [pdf] [IEEE] (note that there is a more complete journal version [J16] available for this work)

[C49] Adrian G. Wills, Thomas B. Schön, Lennart Ljung and Brett Ninness, Blind identification of Wiener models, in Proceedings of the 18th World Congress of the International Federation of Automatic Control (IFAC), Milan, Italy, August-September 2011. [pdf] [IFAC] (note that there is a more complete journal version [J14] available for this work)

[C48] Fredrik Lindsten, Thomas B. Schön and Jimmy Olsson, An explicit variance reduction expression for the Rao-Blackwellised particle filter, in Proceedings of the 18th World Congress of the International Federation of Automatic Control (IFAC), Milan, Italy, August-September 2011. [pdf] [IFAC]

[C47] R. Bhushan Gopaluni, Thomas B. Schön and Adrian G. Wills, Input design for nonlinear stochastic dynamic systems - a particle filter approach. Proceedings of the 18th World Congress of the International Federation of Automatic Control (IFAC), Milan, Italy, August-September 2011. [pdf] [IFAC]

[C46] Zoran Sjanic, Martin A. Skoglund, Thomas B. Schön and Fredrik Gustafsson, A nonlinear least-squares approach to the SLAM problem, in Proceedings of the 18th World Congress of the International Federation of Automatic Control (IFAC), Milan, Italy, August-September 2011. [pdf] [IFAC] [Data set]

[C45] Emil Nilsson, Christian Lundquist, Thomas B. Schön, David Forslund and Jacob Roll, Vehicle motion estimation using an infrared camera, in Proceedings of the 18th World Congress of the International Federation of Automatic Control (IFAC), Milan, Italy, August-September 2011. [pdf] [IFAC]

[C44] Tohid Ardeshiri, Fredrik Larsson, Fredrik Gustafsson, Thomas B. Schön and Michael Felsberg, Bicycle tracking using ellipse extraction, in Proceedings of the 14th International Conference on Information Fusion, Chicago, IL, USA, July, 2011. [pdf] [IEEE] Honorable mention, nominated for the best student paper award.

[C43] Fredrik Lindsten and Thomas B. Schön, Identification of mixed linear/nonlinear state-space models, in Proceedings of the 49th IEEE Conference on Decision and Control (CDC), Atlanta, USA, December 2010. [pdf] [IEEE]

[C42] Brett Ninness, Adrian Wills and Thomas B. Schön, Estimation of general nonlinear state-space systems, in Proceedings of the 49th IEEE Conference on Decision and Control (CDC), Atlanta, USA, December 2010. [pdf] [IEEE]

[C41] Adrian Wills, Thomas B. Schön and Brett Ninness, Estimating state-space models in innovations form using the expectation maximisation algorithm, in Proceedings of the 49th IEEE Conference on Decision and Control (CDC), Atlanta, USA, December 2010. [pdf] [IEEE]

[C40] Tianshi Chen, Thomas B. Schön, Henrik Ohlsson and Lennart Ljung. Decentralization of particle filters using arbitrary state decomposition, in Proceedings of the 49th IEEE Conference on Decision and Control (CDC), Atlanta, USA, December 2010. [pdf] [IEEE] (note that there is a more complete journal version [J10] available for this work)

[C39] Karl Granström and Thomas B. Schön. Learning to close the loop from 3D point clouds, in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Taipei, Taiwan, October 2010. [pdf] (note that there is a more complete journal version [J13] available for this work)

[C38] Jeroen Hol, Thomas B. Schön and Fredrik Gustafsson, Ultra-wideband calibration for indoor positioning, in Proceedings of the IEEE International Conference on Ultra-Wideband (ICUWB), Nanjing, China, September 2010. [pdf] [IEEE] (note that there is a more complete journal version [J19] available for this work)

[C37] Magnus Axholt, Martin Skoglund, Stephen D. Peterson, Matthew D. Cooper, Thomas B. Schön, Fredrik Gustafsson, Anders Ynnerman and Stephen. R. Ellis. Optical see-through head mounted display direct linear transformation calibration robustness in the presence of user alignment noise, in Proceedings of the 54th Annual Meeting of the Human Factors and Ergonomics Society (HFES), San Francisco, CA, USA, September 2010. [Sage]

[C36] Michael Felsberg, Fredrik Larsson, Wang Han, Anders Ynnerman and Thomas B. Schön. Torchlight navigation, in Proceedings of the 20th International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, August 2010. [pdf] [IEEE] [Video]

[C35] Fredrik Lindsten, Jonas Callmer, Henrik Ohlsson, David Törnqvist, Thomas B. Schön, Fredrik Gustafsson, Geo-referencing for UAV navigation using environmental classification, in Proceedings of the International Conference on Robotics and Automation (ICRA), Anchorage, Alaska, USA, May 2010. [pdf] [IEEE]

[C34] Carsten Fritsche, Thomas B. Schön and Anja Klein, The marginalized auxiliary particle filter, in Proceedings of the Third International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Aruba, Dutch Antilles, December 2009. [pdf] [IEEE]

[C33] Robert Henriksson, Mikael Norrlöf, Stig Moberg, Erik Wernholt and Thomas B. Schön, Experimental comparison of observers for tool position estimation of industrial robots, in Proceedings of the 48th IEEE Conference on Decision and Control (CDC), Shanghai, China, December 2009. [pdf] [IEEE]

[C32] Jeroen Hol, Fred Dijkstra, Henk Luinge and Thomas B. Schön, Tightly coupled UWB/IMU pose estimation, in Proceedings of the IEEE International Conference on Ultra-Wideband (ICUWB), Vancouver, Canada, September 2009. [pdf] [IEEE] (note that there is a more complete journal version [J19] available for this work) Best student paper award

[C31] Christian Lundquist and Thomas B. Schön, Recursive identification of cornering stiffness parameters for an enhanced single track model, in Proceedings of the 15th IFAC Symposium on System Identification (SYSID), Saint-Malo, France, July 2009. [pdf] [IFAC]

[C30] Bhushan Gopaluni, Thomas B. Schön and Adrian Wills, Particle filter approach to nonlinear system identification under missing observations with a real application, in Proceedings of the 15th IFAC Symposium on System Identification (SYSID), Saint-Malo, France, July 2009. [pdf] [IFAC]

[C29] Henrik Tidefelt and Thomas B. Schön, Robust point-mass filters on manifolds, in Proceedings of the 15th IFAC Symposium on System Identification (SYSID), Saint-Malo, France, July 2009. [pdf] [IFAC]

[C28] Thomas B. Schön and Jacob Roll, Ego-motion and indirect road geometry estimation using night vision, in Proceedings of the IEEE Intelligent Vehicle Symposium (IV), Xi'an, Shaanxi, China, June 2009. [pdf] [IEEE]

[C27] Christian Lundquist, Umut Orguner and Thomas B. Schön, Tracking stationary extended objects for road mapping using radar measurements, in Proceedings of the IEEE Intelligent Vehicle Symposium (IV), Xi'an, Shaanxi, China, June 2009. [pdf] [IEEE]

[C26] Christian Lundquist and Thomas B. Schön, Estimation of the free space in front of a moving vehicle, in Proceedings of the SAE World Congress, Detroit, MI, USA, April 2009. [pdf] [SAE] (note that there is a more complete book chapter [BC3] available for this work)

[C25] Umut Orguner, Thomas B. Schön, and Fredrik Gustafsson, Improved target tracking with road network information, in  Proceedings of the IEEE Aerospace Conference, Big Sky, MT, USA, March 2009. [pdf] [IEEE] (note that there is a more complete book chapter [BC2] available for this work)

[C24] David Törnqvist, Thomas B. Schön, and Fredrik Gustafsson, Detecting spurious features using parity space, in Proceedings of the 10th International Conference on Control, Automation, Robotics and Vision (ICARCV), Hanoi, Vietnam, December 2008. [pdf] [IEEE]

[C23] Jeroen D. Hol, Thomas B. Schön, and Fredrik Gustafsson, A new algorithm for calibrating a combined camera and IMU Sensor Unit. Proceedings of the 10th International Conference on Control, Automation, Robotics and Vision (ICARCV), Hanoi, Vietnam, December 2008. [pdf] [IEEE] (note that there is a more complete journal version [J8] available for this work)

[C22] Jeroen D. Hol, Thomas B. Schön, and Fredrik Gustafsson, Relative pose calibration of a spherical camera and an IMU, in  Proceedings of the 7th IEEE and ACM International Symposium on Mixed and augmented Reality (ISMAR), Cambridge, United Kingdom, September 2008. [pdf] [IEEE] (note that there is a more complete journal version [J8] available for this work)

[C21] Christian Lundquist and Thomas B. Schön, Road geometry estimation and vehicle tracking using a single track model, in Proceedings of the IEEE Intelligent Vehicle Symposium (IV), Eindhoven, The Netherlands, June 2008. [pdf] [IEEE] (note that there is a more complete journal version [J12] available for this work)

[C20] Adrian Wills, Thomas B. Schön and B. Ninness, Parameter estimation for discrete-time nonlinear systems using EM, in  Proceedings of the 17th World Congress of the International Federation of Automatic Control (IFAC), Seoul, South Korea, July 2008. [pdf] [IFAC] [Code] (note that there is a more complete journal version [J9] available for this work)

[C19] Fredrik Gustafsson, Thomas B. Schön, Jeroen Hol, Sensor fusion for augmented reality, in Proceedings of the 17th World Congress of the International Federation of Automatic Control (IFAC), Seoul, South Korea, July 2008. [pdf] [IFAC]

[C18] Rickard Karlsson, Thomas B. Schön, David Törnqvist, Gianpaolo Conte and Fredrik Gustafsson, Utilizing model structure for efficient simultaneous localization and mapping for a UAV application, in Proceedings of the IEEE Aerospace Conference, Big Sky, MT, USA, March 2008. [pdf] [IEEE] (note that there is a more complete journal version [J7] available for this work)

[C17] Xiao-Li Hu, Thomas B. Schön and Lennart Ljung, A robust particle filter for state estimation - with convergence results, in Proceedings of the 46th IEEE Conference on Decision and Control (CDC), New Orleans, LA, USA, December 2007. [pdf] [IEEE] (note that there is a more complete journal version [J6] available for this work)

[C16] Thomas B. Schön, David Törnqvist and Fredrik Gustafsson, Fast particle filters for multi-rate sensors, in Proceedings of the 15th European Signal Processing Conference (EUSIPCO), Poznan, Poland, September 2007. [pdf]

[C15] Xiao-Li Hu, Thomas B. Schön and Lennart Ljung, A basic convergence result for particle filtering, in Proceedings of the 7th IFAC Symposium on Nonlinear Control Systems (NOLCOS), Pretoria, South Africa, August 2007. [pdf] [IFAC] (note that there is a more complete journal version [J6] available for this work)

[C14] Thomas B. Schön, Rickard Karlsson, David Törnqvist and Fredrik Gustafsson, A framework for simultaneous localization and mapping utilizing model structure, in Proceedings of the 10th International Conference on Information Fusion, Quebec, Canada, July 2007. [pdf] [IEEE] (note that there is a more complete journal version [J7] available for this work)

[C13] Fredrik Gustafsson, Thomas B. Schön, Rickard Karlsson and Per-Johan Nordlund, State-of-the-art for the marginalized particle filter, in Proceedings of the IEEE Nonlinear Statistical Signal Processing Workshop, Cambridge, United Kingdom, September 2006. [pdf] [IEEE]

[C12] Jeroen D. Hol, Thomas B. Schön and Fredrik Gustafsson, On resampling algorithms for particle filters, in Proceedings of the IEEE Nonlinear Statistical Signal Processing Workshop, Cambridge, United Kingdom, September 2006. [pdf] [IEEE]

[C11] J. Chandaria, G. Thomas, B. Bartczak, K. Koeser, R. Koch, M. Becker, G. Bleser, D. Stricker, C. Wohlleber, M. Felsberg, F. Gustafsson, J. Hol, T. B. Schön, J. Skoglund, P. Slycke and S. Smeitz, Real-time camera tracking in the MATRIS project, in Proceedings of the International Broadcasting Convention (IBC), Amsterdam, The Neatherlands, August 2006. [pdf]

[C10] Jeroen D. Hol, Thomas B. Schön, Fredrik Gustafsson and P. Slycke, Sensor fusion for augmented reality, in Proceedings of 9th International Conference on Information Fusion, Florence, Italy, July 2006. [pdf] [IEEE] (note that there is a more complete journal version [J5] available for this work)

[C9] Thomas B. Schön, Rickard Karlsson and Fredrik Gustafsson, The marginalized particle filter - analysis, applications and generalizations, in Workshop on Sequential Monte Carlo Methods: filtering and other applications, Oxford, United Kingdom, July 2006. [pdf]

[C8] Thomas B. Schön, Andreas Eidehall and Fredrik Gustafsson, Lane departure detection for improved road geometry Estimation, in Proceedings of the IEEE Intelligent Vehicles Symposium (IV), pages 546-551, Tokyo, Japan, June 2006. [pdf] [IEEE]

[C7] Thomas B. Schön, Adrian Wills and Brett Ninness, Maximum likelihood nonlinear system estimation, in Proceedings 14th IFAC Symposium on System Identification (SYSID), pages 1003-1008, Newcastle, Australia, Mar. 2006. [pdf] [IFAC] [Code] (note that there is a more complete journal version [J9] available for this work)

[C6] Thomas B. Schön, Rickard Karlsson and Fredrik Gustafsson, The marginalized particle filter in practice, in Proceedings of the IEEE Aerospace Conference, Big Sky, USA, Mar. 2006. [pdf] [IEEE] (note that there is a more complete book chapter [BC1] available for this work)

[C5] Thomas B. Schön, and Fredrik Gustafsson, Integrated navigation of cameras for augmented reality, in Proceedings of the 16th World Congress of the International Federation of Automatic Control (IFAC), Prague, Czech Republic, Jul. 2005. [pdf] [IFAC]

[C4] Andreas Eidehall, Thomas B. Schön, and Fredrik Gustafsson, The marginalized particle filter for automotive tracking applications, in Proceedings of 2005 IEEE Intelligent Vehicle Symposium (IV), pages 369-374, Las Vegas, USA, Jun. 2005. [pdf] [IEEE]

[C3] Thomas Schön, Markus Gerdin, Torkel Glad, and Fredrik Gustafsson. A modeling and filtering framework for linear implicit systems, in Proceedings of the 42nd IEEE Conference on Decision and Control (CDC), pages 892 - 897, Maui, Hawaii, USA, Dec. 2003. [pdf] (note that there is a more complete journal version [J3] available for this work)

[C2] Thomas Schön and Fredrik Gustafsson. Particle filters for system identification of state-space models linear in either parameters or states, in Proceedings of the 13th IFAC Symposium on System Identification (SYSID), pages 1287 - 1292, Rotterdam, The Netherlands, Sep. 2003. [pdf]

[C1] Thomas Schön, Fredrik Gustafsson, and Anders Hansson. A note on state estimation as a convex optimization problem, in  Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vol. 6, pages 61-64, Hong Kong, Apr. 2003. [pdf] [IEEE]




Relevant national conference papers

[NC5] Andreas Svensson and Thomas B. Schön, Comparing two recent particle filter implementations of Bayesian system identificationReglermöte (Swedish Control Conference), Göteborg, Sweden, June 2016. [pdf] 

[NC4] Johan Kihlberg, Simon Tegelid, Manon Kok and Thomas B. Schön. Map aided indoor positioning using particle filters. Reglermöte (Swedish Control Conference), Linköping, Sweden, June 2014. [pdf]

[NC3] Joel Hermansson, Andreas Gising, Martin Skoglund and Thomas B. Schön. Autonomous landing of an unmanned aerial vehicle. Reglermöte (Swedish Control Conference), Lund, Sweden, June 2010. [pdf]

[NC2] Michael Felsberg, Fredrik Larsson, Wang Han, Anders Ynnerman and Thomas B. Schön. Torch Guided Navigation. Swedish Symposium on Image Analysis (SSBA), Uppsala, Sweden, March 2010. Nominated for the best industry-relevant paper award. [pdf] [Video]

[NC1] Viktor Kolbe, Folke Isaksson, Thomas Beckman and Thomas B. Schön, Indoor photorealistic 3D mapping using stereo images from SLR cameras. Swedish Symposium on Image Analysis (SSBA), Halmstad, Sweden, March 2009. Nominated for the best industry-relevant paper award. [pdf]



Limited or non-peer reviewed workshop, conference papers and abstracts

[CA10] Thomas B. Schön, Christian A. Naesseth and Fredrik Lindsten. Inference in probabilistic graphical models using sequential Monte Carlo. In The 9th International Conference on Computational and Methodological Statistics (CMStatistics), Seville, Spain, December, 2016.

[CA9]  Jeroen D. Hol, Giovanni Bellusci, Fabian Girrbach, Manon Kok and Thomas B. Schön. MHE for human body motion capture using inertial sensors. In The 4th European Conference on Computational Optimization (EUCCO), Leuven, Belgium, September 2016. [pdf]

[CA8] Pierre Jacob, Fredrik Lindsten and Thomas B. Schön. Couplings of particle filters. In World Congress in Probability and Statistics, Toronto, Canada, July, 2016.

[CA7] Christian A. Naesseth, Fredrik Lindsten and Thomas B. Schön. Towards Automated Sequential Monte Carlo for Probabilistic Graphical Models. In Black box learning and inference workshop at the Conference on Neural Information Processing Systems (NIPS), Montréal, Canada, December, 2015. [pdf] [NIPS]

[CA6] John-Alexander M. Assael, Niklas Wahlström, Thomas B. Schön and Marc Peter Deisenroth. Data-efficient learning of feedback policies from image pixels using deep dynamical models. In Deep Reinforcement Learning Workshop at the Conference on Neural Information Processing Systems (NIPS), Montréal, Canada, December, 2015. [arXiv]

[CA5] Niklas Wahlström, Thomas B. Schön and Marc Peter Deisenroth. From pixels to torques: policy learning with deep dynamical models. In Deep Learning Workshop at the International Conference on Machine Learning (ICML), Lille, France, July, 2015. [arXiv]

[CA4] Manon Kok, Jeroen Hol and Thomas B. Schön. An optimization-based approach to human body motion capture using inertial sensors. Conference on Technically Assisted Rehabilitation (TAR), Berlin, Germany, March, 2015. (invited paper). A more complete description of this work is available here.

[CA3] Christian A. Naesseth, Fredrik Lindsten and Thomas B. Schön. Sequential Monte Carlo to estimate the partition function of rectangular graphical models. In Second Bayesian Young Statisticians Meeting (BAYSM), Vienna, Austria, September, 2014. [pdf]

[CA2] Martin Singull and Thomas B. Schön, Expectation-Maximization algorithms for the multilinear normal distribution. In Joint Statistical Meeting (JSM), Boston, MA, USA, August 2014. [pdf]

[CA1] Thomas B. Schön, Fusion of data from different sources. In Proceedings of the 10th International Symposium on 3D Analysis of Human Movement (3DMA)Invited plenary lecture (the H.J. Woltring lecture), Santpoort-Amsterdam, The Netherlands, October 2008. [pdf]


Technical reports not published elsewhere

[TR8] Johan Dahlin, Mattias Villani and Thomas B. Schön. Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods. arXiv:1506:.06975, December, 2016. [arXiv] [code]

[TR7] Johan Dahlin, Fredrik Lindsten, Joel Kronander and Thomas B. Schön. Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables. arXiv:1511.05483, November, 2015. [arXiv] 

[TR6] Johan Dahlin, Fredrik Lindsten and Thomas B. Schön. Inference in Gaussian models with missing data using Equalisation Maximisation. arXiv:1308.4601, August 2013. [arXiv]

[TR5] Fredrik Lindsten and Thomas B. Schön. On the use of backward simulation in particle Markov chain Monte Carlo methods. arXiv:1110.2873v2, March 2012. [arXiv]

[TR4] Fredrik Lindsten and Thomas B. Schön, Rao-Blackwellised particle smoothers for mixed linear/nonlinear state-space models. Division of Automatic Control, Linköping University, Sweden, May 2011. [pdf]

[TR3] Thomas B. Schön and Fredrik Lindsten, Manipulating the multivariate Gaussian density. Division of Automatic Control, Linköping University, Sweden, January 2011. [pdf]

[TR2] Fredrik Lindsten and Thomas B. Schön, Inference in mixed linear/nonlinear state-space models using sequential Monte Carlo. Division of Automatic Control, Linköping University, Sweden, Technical Report nr: LiTH-ISY-R-2946, March 2010. [pdf]

[TR1] Thomas B. Schön, An explanation of the Expectation Maximization algorithm. Division of Automatic Control, Linköping University, Sweden, Technical Report nr: LiTH-ISY-R-2915, August 2009. [pdf] [code]



Theses

[T2] Thomas B. Schön, Estimation of Nonlinear Dynamic Systems - Theory and Applications, Linköping Studies in Science and Technology, Dissertations. No. 998, February 2006. Won the best PhD thesis award 2013 by The European Association for Signal Processing (EURASIP) [pdf]

[T1] Thomas Schön, On Computational Methods for Nonlinear Estimation, Linköping Studies in Science and Technology, Thesis No. 1047, October, 2003. [pdf]

 © Thomas Schön 2017