Michael Roth
Michael Roth
German Aerospace Center (DLR), Institute of Transportation Systems
Verified email at - Homepage
Cited by
Cited by
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
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
On the multivariate t distribution
M Roth
Tech. Rep., Division of automatic control, Linköping university, 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
An efficient implementation of the second order extended Kalman filter
M Roth, F Gustafsson
14th International Conference on Information Fusion, 1-6, 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
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
Robust Bayesian Filtering and Smoothing Using Student's t Distribution
M Roth, T Ardeshiri, E Özkan, F Gustafsson
arXiv preprint arXiv:1703.02428, 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
Kalman Filters for Nonlinear Systems and Heavy-Tailed Noise
M Roth
Linköping University, The Institute of Technology, 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
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
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
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
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
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
Advanced Kalman Filtering Approaches to Bayesian State Estimation
M Roth
Linköping University Electronic Press, 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
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
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
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