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Michael Roth
Michael Roth
German Aerospace Center (DLR), Institute of Transportation Systems
Bestätigte E-Mail-Adresse bei dlr.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
2822013
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
1272014
On the multivariate t distribution
M Roth
Tech. Rep., Division of automatic control, Linköping university, 2013
1172013
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
1032017
An efficient implementation of the second order extended Kalman filter
M Roth, F Gustafsson
14th International Conference on Information Fusion, 1-6, 2011
852011
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
432016
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
332015
Robust Bayesian Filtering and Smoothing Using Student's t Distribution
M Roth, T Ardeshiri, E Özkan, F Gustafsson
arXiv preprint arXiv:1703.02428, 2017
312017
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
292021
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
242018
Kalman Filters for Nonlinear Systems and Heavy-Tailed Noise
M Roth
Linköping University, The Institute of Technology, 2013
222013
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
212021
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
182021
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
172012
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
162018
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
152022
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
132012
Detecting singular track defects by time-frequency signal separation of axle-box acceleration data
B Baasch, JC Groos, MH Roth, P Havrila
World Congress on Railway Research (WCRR) 2019, Tokyo, Japan, 2019
122019
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
112020
Advanced Kalman Filtering Approaches to Bayesian State Estimation
M Roth
Linköping University Electronic Press, 2017
102017
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