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Marcus Baum
Marcus Baum
Verified email at cs.uni-goettingen.de - Homepage
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Cited by
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Extended object tracking: Introduction, overview and applications
K Granstrom, M Baum, S Reuter
ISIF Journal of Advances in Information Fusion, 2017
3432017
Shape tracking of extended objects and group targets with star-convex RHMs
M Baum, UD Hanebeck
14th International Conference on Information Fusion, 1-8, 2011
2472011
Random hypersurface models for extended object tracking
M Baum, UD Hanebeck
Signal Processing and Information Technology (ISSPIT), 2009 IEEE …, 2009
1972009
Extended object tracking with random hypersurface models
M Baum, UD Hanebeck
IEEE Transactions on Aerospace and Electronic systems 50 (1), 149-159, 2014
1802014
Extended object and group tracking with elliptic random hypersurface models
M Baum, B Noack, UD Hanebeck
2010 13th International Conference on Information Fusion, 1-8, 2010
1292010
Metrics for performance evaluation of elliptic extended object tracking methods
S Yang, M Baum, K Granström
2016 IEEE International Conference on Multisensor Fusion and Integration for …, 2016
752016
Extended object and group tracking: A comparison of random matrices and random hypersurface models
M Baum, M Feldmann, D Fränken, UD Hanebeck, W Koch
INFORMATIK 2010. Service Science–Neue Perspektiven für die Informatik. Band 2, 2010
692010
Extended Kalman filter for extended object tracking
S Yang, M Baum
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
592017
Level-set random hypersurface models for tracking nonconvex extended objects
A Zea, F Faion, M Baum, UD Hanebeck
IEEE Transactions on Aerospace and Electronic Systems 52 (6), 2990-3007, 2016
552016
Tracking the orientation and axes lengths of an elliptical extended object
S Yang, M Baum
IEEE Transactions on Signal Processing 67 (18), 4720-4729, 2019
532019
Modeling the target extent with multiplicative noise
M Baum, F Faion, UD Hanebeck
2012 15th International Conference on Information Fusion, 2406-2412, 2012
482012
A hybrid approach to hierarchical density-based cluster selection
C Malzer, M Baum
2020 IEEE International Conference on Multisensor Fusion and Integration for …, 2020
462020
A novel Bayesian method for fitting a circle to noisy points
M Baum, V Klumpp, UD Hanebeck
2010 13th International Conference on Information Fusion, 1-6, 2010
432010
Tracking 3D shapes in noisy point clouds with random hypersurface models
F Faion, M Baum, UD Hanebeck
2012 15th International Conference on Information Fusion, 2230-2235, 2012
402012
A cartesian b-spline vehicle model for extended object tracking
H Kaulbersch, J Honer, M Baum
2018 21st International Conference on Information Fusion (FUSION), 1-5, 2018
382018
A visual interactive debugger based on symbolic execution
R Hähnle, M Baum, R Bubel, M Rothe
Proceedings of the IEEE/ACM international conference on Automated software …, 2010
372010
Second-order extended Kalman filter for extended object and group tracking
S Yang, M Baum
2016 19th International Conference on Information Fusion (FUSION), 1178-1184, 2016
342016
Extended object tracking based on combined set-theoretic and stochastic fusion
M Baum, UD Hanebeck
2009 12th International Conference on Information Fusion, 1288-1295, 2009
332009
On Wasserstein barycenters and MMOSPA estimation
M Baum, PK Willett, UD Hanebeck
IEEE Signal Processing Letters 22 (10), 1511-1515, 2015
312015
Data association in a world model for autonomous systems
M Baum, I Gheţa, A Belkin, J Beyerer, UD Hanebeck
2010 IEEE Conference on Multisensor Fusion and Integration, 187-192, 2010
292010
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