| A Student's t filter for heavy tailed process and measurement noise M Roth, E Özkan, F Gustafsson 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 254 | 2013 |
| EKF/UKF maneuvering target tracking using coordinated turn models with polar/Cartesian velocity M Roth, G Hendeby, F Gustafsson 17th International Conference on Information Fusion (FUSION), 1-8, 2014 | 118 | 2014 |
| On the multivariate t distribution M Roth Tech. Rep., Division of automatic control, Linköping university, 2013 | 109 | 2013 |
| The Ensemble Kalman filter: a signal processing perspective M Roth, G Hendeby, C Fritsche, F Gustafsson EURASIP Journal on Advances in Signal Processing 2017, 1-16, 2017 | 90 | 2017 |
| An efficient implementation of the second order extended Kalman filter M Roth, F Gustafsson 14th International Conference on Information Fusion, 1-6, 2011 | 76 | 2011 |
| Nonlinear Kalman Filters Explained: A Tutorial on Moment Computations and Sigma Point Methods M Roth, G Hendeby, F Gustafsson Journal of Advances in Information Fusion 11 (1), 47-70, 2016 | 37 | 2016 |
| The ensemble Kalman filter and its relations to other nonlinear filters M Roth, C Fritsche, G Hendeby, F Gustafsson Signal Processing Conference (EUSIPCO), 2015 23rd European, 1236-1240, 2015 | 31 | 2015 |
| Robust Bayesian Filtering and Smoothing Using Student's t Distribution M Roth, T Ardeshiri, E Özkan, F Gustafsson arXiv preprint arXiv:1703.02428, 2017 | 30 | 2017 |
| Train Wheel Condition Monitoring via Cepstral Analysis of Axle Box Accelerations B Baasch, J Heusel, M Roth, T Neumann Applied Sciences 11 (4), 1432, 2021 | 24 | 2021 |
| Kalman Filters for Nonlinear Systems and Heavy-Tailed Noise M Roth Linköping University, The Institute of Technology, 2013 | 19 | 2013 |
| Map-Supported Positioning Enables In-Service Condition Monitoring of Railway Tracks M Roth, B Baasch, P Havrila, J Groos 2018 21st International Conference on Information Fusion (FUSION), 2346-2353, 2018 | 17 | 2018 |
| On-road trajectory generation from GPS data: a particle filtering/smoothing application M Roth, F Gustafsson, U Orguner 2012 15th International Conference on Information Fusion, 779-786, 2012 | 16 | 2012 |
| Anomaly Detection on the Rail Lines Using Semantic Segmentation and Self-supervised Learning K Jahan, JP Umesh, M Roth 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2021 | 13 | 2021 |
| Deep Neural Networks for Railway Switch Detection and Classification Using Onboard Camera Images K Jahan, J Niemeijer, N Kornfeld, M Roth 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-07, 2021 | 13 | 2021 |
| Position and orientation control of an omni-directional mobile rehabilitation robot D Luo, T Schauer, M Roth, J Raisch 2012 IEEE International Conference on Control Applications, 50-56, 2012 | 13 | 2012 |
| In-service condition monitoring of rail tracks: On an on-board low-cost multi-sensor system for condition based maintenance of railway tracks B Baasch, MH Roth, JC Groos Internationales Verkehrswesen 70 (1), 76-79, 2018 | 12 | 2018 |
| Advanced Kalman Filtering Approaches to Bayesian State Estimation M Roth Linköping University Electronic Press, 2017 | 9 | 2017 |
| Detecting corrugation defects in harbour railway networks using axle-box acceleration data J Heusel, B Baasch, W Riedler, M Roth, S Shankar, JC Groos Insight-Non-Destructive Testing and Condition Monitoring 64 (7), 404-410, 2022 | 8 | 2022 |
| Deep CNN-BiLSTM Model for Transportation Mode Detection Using Smartphone Accelerometer and Magnetometer Q Tang, K Jahan, M Roth 2022 IEEE Intelligent Vehicles Symposium (IV), 772-778, 2022 | 8 | 2022 |
| Automatic Mapping of Center Line of Railway Tracks using Global Navigation Satellite System, Inertial Measurement Unit and Laser Scanner S Shankar, M Roth, LA Schubert, JA Verstegen Remote Sensing 12 (3), 411, 2020 | 8 | 2020 |
Fredrik GustafssonProf, Linköping University, Sweden在 liu.se 的电子邮件经过验证
