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Marcus Baum

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affiliation: University of Göttingen, Institute of Computer Science, Germany
affiliation: Karlsruhe Institute of Technology (KIT), ISAS Lab, Germany

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Books and Theses

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2013
[b1]
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Marcus Baum:
Simultaneous Tracking and Shape Estimation of Extended Objects. Karlsruhe Institute of Technology, KIT Scientific Publishing 2013

Journal Articles

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2023
[j14]
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Jaya Shradha Fowdur, Marcus Baum, Frank Heymann, Pawel Banys:
An Overview of the PAKF-JPDA Approach for Elliptical Multiple Extended Target Tracking Using High-Resolution Marine Radar Data. Remote. Sens. 15(10): 2503 (2023)
2022
[j13]
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Kolja Thormann, Viola Tozzi, Paul Stärke, Heike Bickeböller, Marcus Baum, Albert Rosenberger:
ImputAccur: fast and user-friendly calculation of genotype-imputation accuracy-measures. BMC Bioinform. 23(1): 316 (2022)
2021
[j12]
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Claudia Malzer, Marcus Baum:
Constraint-Based Hierarchical Cluster Selection in Automotive Radar Data. Sensors 21(10): 3410 (2021)
[j11]
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Jaya Shradha Fowdur, Marcus Baum, Frank Heymann:
Real-World Marine Radar Datasets for Evaluating Target Tracking Methods. Sensors 21(14): 4641 (2021)
[j10]
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Kolja Thormann, Marcus Baum:
Fusion of Elliptical Extended Object Estimates Parameterized With Orientation and Axes Lengths. IEEE Trans. Aerosp. Electron. Syst. 57(4): 2369-2382 (2021)
2019
[j9]
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Shishan Yang, Florian Teich, Marcus Baum:
Network Flow Labeling for Extended Target Tracking PHD Filters. IEEE Trans. Ind. Informatics 15(7): 4164-4171 (2019)
[j8]
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Shishan Yang, Marcus Baum:
Tracking the Orientation and Axes Lengths of an Elliptical Extended Object. IEEE Trans. Signal Process. 67(18): 4720-4729 (2019)
2018
[j7]
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Marco F. Huber, Marc-Andre Zoller, Marcus Baum:
Linear programming based time lag identification in event sequences. Autom. 98: 14-19 (2018)
[j6]
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Uwe D. Hanebeck, Marcus Baum, Marco F. Huber:
Guest Editorial Special Section on Multisensor Fusion and Integration for Intelligent Systems. IEEE Trans. Ind. Informatics 14(3): 1124-1126 (2018)
2016
[j5]
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Antonio Zea, Florian Faion, Marcus Baum, Uwe D. Hanebeck:
Level-set random hypersurface models for tracking nonconvex extended objects. IEEE Trans. Aerosp. Electron. Syst. 52(6): 2990-3007 (2016)
2015
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Marcus Baum, Peter Willett, Uwe D. Hanebeck:
On Wasserstein Barycenters and MMOSPA Estimation. IEEE Signal Process. Lett. 22(10): 1511-1515 (2015)
[j3]
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Marcus Baum, Peter Willett, Uwe D. Hanebeck:
Polynomial-Time Algorithms for the Exact MMOSPA Estimate of a Multi-Object Probability Density Represented by Particles. IEEE Trans. Signal Process. 63(10): 2476-2484 (2015)
2014
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Marcus Baum, Uwe D. Hanebeck:
Extended Object Tracking with Random Hypersurface Models. IEEE Trans. Aerosp. Electron. Syst. 50(1): 149-159 (2014)
2012
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Marcus Baum, Uwe D. Hanebeck:
Extended Object Tracking Based on Set-Theoretic and Stochastic Fusion. IEEE Trans. Aerosp. Electron. Syst. 48(4): 3103-3115 (2012)

Conference and Workshop Papers

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2023
[c94]
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Eugen Ernst, Florian Pfaff, Uwe D. Hanebeck, Marcus Baum:
The Kernel-SME Filter with Adaptive Kernel Widths for Association-free Multi-target Tracking. ACC 2023: 355-361
[c93]
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Eugen Ernst, Florian Pfaff, Marcus Baum, Uwe D. Hanebeck:
Multitarget-Multidetection Tracking Using the Kernel SME Filter. FUSION 2023: 1-7
[c92]
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Simon Steuernagel, Kolja Thormann, Marcus Baum:
Evaluation Scores for Elliptic Extended Object Tracking Considering Diverse Object Sizes. FUSION 2023: 1-7
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Simon Steuernagel, Kolja Thormann, Marcus Baum:
Improved Extended Object Tracking with Efficient Particle-based Orientation Estimation. FUSION 2023: 1-8
[c90]
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Robin Volkmar, Kolja Thormann, Keith Soal, Yves Govers, Marc Böswald, Marcus Baum:
Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring. FUSION 2023: 1-8
[c89]
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Laura M. Wolf, Simon Steuernagel, Kolja Thormann, Marcus Baum:
Track-to-track Association based on Stochastic Optimization. FUSION 2023: 1-7
2022
[c88]
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Simon Steuernagel, Kolja Thormann, Marcus Baum:
CNN-based Shape Estimation for Extended Object Tracking using Point Cloud Measurements. FUSION 2022: 1-8
[c87]
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Kolja Thormann, Marcus Baum:
Track-to- Track Fusion for Elliptical Extended Targets Parameterized with Orientation and Semi-Axes Lengths. FUSION 2022: 1-8
[c86]
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Laura M. Wolf, Marcus Baum:
Deterministic Gaussian Filtering based on Herding. FUSION 2022: 1-8
2021
[c85]
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Jaya Shradha Fowdur, Marcus Baum, Frank Heymann:
An Elliptical Principal Axes-based Model for Extended Target Tracking with Marine Radar Data. FUSION 2021: 1-8
[c84]
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Laura M. Wolf, Marcus Baum:
Continuous Herded Gibbs Sampling. FUSION 2021: 1-6
[c83]
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Kolja Thormann, Shishan Yang, Marcus Baum:
Kalman Filter Based Extended Object Tracking with a Gaussian Mixture Spatial Distribution Model. IV Workshops 2021: 293-298
[c82]
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Kolja Thormann, Marcus Baum:
Incorporating Range Rate Measurements in EKF-based Elliptical Extended Object Tracking. MFI 2021: 1-6
2020
[c81]
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Simon Ollander, Friedrich-Wilhelm Bode, Marcus Baum:
Simulation-based Analysis of Multipath Delay Distributions in Urban Canyons. ENC 2020: 1-10
[c80]
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Simon Ollander, Florian A. Schiegg, Friedrich-Wilhelm Bode, Marcus Baum:
Dual-frequency Collaborative Positioning for Minimization of GNSS Errors in Urban Canyons. FUSION 2020: 1-8
[c79]
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Kolja Thormann, Shishan Yang, Marcus Baum:
A Comparison of Kalman Filter-based Approaches for Elliptic Extended Object Tracking. FUSION 2020: 1-8
[c78]
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Shishan Yang, Laura M. Wolf, Marcus Baum:
Marginal Association Probabilities for Multiple Extended Objects without Enumeration of Measurement Partitions. FUSION 2020: 1-8
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Simon Ollander, Friedrich-Wilhelm Bode, Marcus Baum:
Multipath Delay Estimation Using Signal Power Measurements from Multiple Carrier Frequencies. ICL-GNSS 2020: 1-5
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Hauke Kaulbersch, Jens Honer, Marcus Baum:
Assymetric Noise Tailoring for Vehicle Lidar data in Extended Object Tracking. MFI 2020: 191-196
[c75]
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  - conf/mfi/MalzerB20
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Claudia Malzer, Marcus Baum:
A Hybrid Approach To Hierarchical Density-based Cluster Selection. MFI 2020: 223-228
[c74]
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  - conf/mfi/WolfB20
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Laura M. Wolf, Marcus Baum:
Deterministic Gibbs Sampling for Data Association in Multi-Object Tracking. MFI 2020: 291-296
2019
[c73]
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Jaya Shradha Fowdur, Marcus Baum, Frank Heymann:
Tracking Targets with Known Spatial Extent Using Experimental Marine Radar Data. FUSION 2019: 1-8
[c72]
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Hauke Kaulbersch, Jens Honer, Marcus Baum:
EM-based Extended Target Tracking with Automotive Radar using Learned Spatial Distribution Models. FUSION 2019: 1-8
[c71]
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Simon Ollander, Friedrich-Wilhelm Bode, Marcus Baum:
The Dual-frequency Post-correlation Difference Feature for Detection of Multipath and non-Line-of-Sight Errors in Satellite Navigation. FUSION 2019: 1-8
[c70]
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Kolja Thormann, Marcus Baum:
Optimal Fusion of Elliptic Extended Target Estimates based on the Wasserstein Distance. FUSION 2019: 1-6
2018
[c69]
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  - conf/fusion/JanzLJGYB18
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Thorben Janz, Andreas Leich, Marek Junghans, Kay Gimm, Shishan Yang, Marcus Baum:
Post-Processing of Multi-Target Trajectories for Traffic Safety Analysis. FUSION 2018: 1-8
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Hauke Kaulbersch, Jens Honer, Marcus Baum:
A Cartesian B-Spline Vehicle Model for Extended Object Tracking. FUSION 2018: 1-5
[c67]
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Fabian Sigges, Christoph Rauterberg, Marcus Baum, Uwe D. Hanebeck:
An Ensemble Kalman Filter for Feature-Based SLAM with Unknown Associations. FUSION 2018: 1-7
[c66]
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Kolja Thormann, Marcus Baum, Jens Honer:
Extended Target Tracking Using Gaussian Processes with High-Resolution Automotive Radar. FUSION 2018: 1764-1770
[c65]
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Shishan Yang, Kolja Thormann, Marcus Baum:
Linear-Time Joint Probabilistic Data Association for Multiple Extended Object Tracking. SAM 2018: 6-10
[c64]
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Tran Tuan Nguyen, Jens Spehr, Dominik Vock, Marcus Baum, Sebastian Zug, Rudolf Kruse:
A General Reliability-Aware Fusion Concept Using DST and Supervised Learning with Its Applications in Multi-Source Road Estimation. Intelligent Vehicles Symposium 2018: 597-604
[c63]
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Simon Ollander, Friedrich-Wilhelm Bode, Marcus Baum:
Multi-Frequency GNSS Signal Fusion for Minimization of Multipath and Non-Line-of-Sight Errors: A Survey. WPNC 2018: 1-6
2017
[c62]
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Araek Tashkandi, Lena Wiese, Marcus Baum:
Comparative Evaluation for Recommender Systems for Book Recommendations. BTW (Workshops) 2017: 291-300
[c61]
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  - conf/fusion/BalasingamB017
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Balakumar Balasingam, Marcus Baum, Peter Willett:
Random finite set particle filter for source enumeration and direction-of-arrival tracking using sonar arrays. FUSION 2017: 1-6
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Hauke Kaulbersch, Marcus Baum, Peter Willett:
EM approach for tracking star-convex extended objects. FUSION 2017: 1-7
[c59]
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  - conf/fusion/SiggesBH17
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Fabian Sigges, Marcus Baum, Uwe D. Hanebeck:
A likelihood-free particle filter for multi-obiect tracking. FUSION 2017: 1-5
[c58]
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Kolja Thormann, Fabian Sigges, Marcus Baum:
Learning an object tracker with a random forest and simulated measurements. FUSION 2017: 1-4
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  - conf/icassp/YangB17
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Shishan Yang, Marcus Baum:
Extended Kalman filter for extended object tracking. ICASSP 2017: 4386-4390
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  - conf/indin/ZollerBH17
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Marc-Andre Zoller, Marcus Baum, Marco F. Huber:
Framework for mining event correlations and time lags in large event sequences. INDIN 2017: 805-810
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  - conf/ivs/TeichYB17
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Florian Teich, Shishan Yang, Marcus Baum:
GM-PHD filter for multiple extended object tracking based on the multiplicative error shape model and network flow labeling. Intelligent Vehicles Symposium 2017: 7-12
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Tran Tuan Nguyen, Jens Spehr, Jian Xiong, Marcus Baum, Sebastian Zug, Rudolf Kruse:
Online reliability assessment and reliability-aware fusion for Ego-Lane detection using influence diagram and Bayes filter. MFI 2017: 7-14
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Fabian Sigges, Marcus Baum:
A nearest neighbour ensemble Kalman Filter for multi-object tracking. MFI 2017: 227-232
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Tran Tuan Nguyen, Jens Spehr, Jian Xiong, Marcus Baum, Sebastian Zug, Rudolf Kruse:
A survey of performance measures to evaluate ego-lane estimation and a novel sensor-independent measure along with its applications. MFI 2017: 239-246
[c51]
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Kolja Thormann, Jens Honer, Marcus Baum:
Fast road boundary detection and tracking in occupancy grids from laser scans. MFI 2017: 348-353
2016
[c50]
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Marcus Baum, Shishan Yang, Uwe D. Hanebeck:
The Kernel-SME filter with false and missing measurements. FUSION 2016: 424-428
[c49]
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Shishan Yang, Marcus Baum:
Second-order extended Kalman filter for extended object and group tracking. FUSION 2016: 1178-1184
[c48]
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Benjamin Noack, Florian Pfaff, Marcus Baum, Uwe D. Hanebeck:
State estimation considering negative information with switching Kalman and ellipsoidal filtering. FUSION 2016: 1945-1952
[c47]
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Shishan Yang, Marcus Baum, Karl Granström:
Metrics for performance evaluation of elliptic extended object tracking methods. MFI 2016: 523-528
[c46]
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Hauke Kaulbersch, Marcus Baum, Peter Willett:
An EM approach for contour tracking based on point clouds. MFI 2016: 529-533
2015
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  - conf/chinasip/BalasingamBW15
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Balakumar Balasingam, Marcus Baum, Peter Willett:
MMOSPA estimation with unknown number of objects. ChinaSIP 2015: 706-710
[c44]
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Peter Willett, Tod Luginbuhl, Marcus Baum:
The GFMT HPMHT puzzle. FUSION 2015: 338-345
[c43]
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Florian Faion, Antonio Zea, Marcus Baum, Uwe D. Hanebeck:
Partial likelihood for unbiased extended object tracking. FUSION 2015: 1022-1029
[c42]
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Uwe D. Hanebeck, Marcus Baum:
Association-free direct filtering of multi-target random finite sets with set distance measures. FUSION 2015: 1367-1374
[c41]
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Marcus Baum, Balakumar Balasingam, Peter Willett, Uwe D. Hanebeck:
OSPA barycenters for clustering set-valued data. FUSION 2015: 1375-1381
[c40]
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Marcus Baum, Peter Willett:
MMOSPA-based direction-of-arrival tracking with a passive sonar array - An experimental study. FUSION 2015: 1382-1387
[c39]
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Devaki Rani Pasupuleti, Pujitha Mannaru, Balakumar Balasingam, Marcus Baum, Krishna R. Pattipati, Peter Willett, C. Lintz, G. Commeau, F. Dorigo, J. Fahrny:
Online playtime prediction for cognitive video streaming. FUSION 2015: 1886-1891
[c38]
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Florian Pfaff, Marcus Baum, Benjamin Noack, Uwe D. Hanebeck, Robin Gruna, Thomas Längle, Jürgen Beyerer:
TrackSort: Predictive tracking for sorting uncooperative bulk materials. MFI 2015: 7-12
[c37]
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Florian Faion, Marcus Baum, Antonio Zea, Uwe D. Hanebeck:
Depth sensor calibration by tracking an extended object. MFI 2015: 19-24
[c36]
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  - conf/mfi/SteinbringBZFH15
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Jannik Steinbring, Marcus Baum, Antonio Zea, Florian Faion, Uwe D. Hanebeck:
A closed-form likelihood for Particle Filters to track extended objects with star-convex RHMs. MFI 2015: 25-30
[c35]
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Marcus Baum, Benjamin Noack, Uwe D. Hanebeck:
Kalman filter-based SLAM with unknown data association using Symmetric Measurement Equations. MFI 2015: 49-53
[c34]
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Benjamin Noack, Marcus Baum, Uwe D. Hanebeck:
State estimation for ellipsoidally constrained dynamic systems with set-membership pseudo measurements. MFI 2015: 297-302
[c33]
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Florian Faion, Antonio Zea, Jannik Steinbring, Marcus Baum, Uwe D. Hanebeck:
Recursive Bayesian pose and shape estimation of 3D objects using transformed plane curves. SDF 2015: 1-6
2014
[c32]
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Marcus Baum, Peter Willett, Uwe D. Hanebeck:
MMOSPA-based track extraction in the PHD filter - a justification for k-means clustering. CDC 2014: 1816-1821
[c31]
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Xiaohua Li, Marcus Baum, Peter Willett, Ya'an Li:
Evaluation of the PMHT approach for passive radar tracking with unknown transmitter associations. FUSION 2014: 1-7
[c30]
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Marcus Baum, Peter Willett:
A hybrid data association model for efficient multi-target maximum likelihood estimation. ICASSP 2014: 4209-4213
[c29]
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  - conf/ieeesam/KurzBH14
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Gerhard Kurz, Marcus Baum, Uwe D. Hanebeck:
Real-time kernel-based multiple target tracking for robotic beating heart surgery. SAM 2014: 201-204
[c28]
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Marcus Baum, Peter Willett, Uwe D. Hanebeck:
MMOSPA-based direction-of-arrival estimation for planar antenna arrays. SAM 2014: 209-212
[c27]
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Antonio Zea, Florian Faion, Marcus Baum, Uwe D. Hanebeck:
Tracking simplified shapes using a stochastic boundary. SAM 2014: 221-224
2013
[c26]
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Marcus Baum, Uwe D. Hanebeck:
The Kernel-SME filter for multiple target tracking. FUSION 2013: 288-295
[c25]
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Antonio Zea, Florian Faion, Marcus Baum, Uwe D. Hanebeck:
Level-Set Random Hypersurface Models for tracking non-convex extended objects. FUSION 2013: 1760-1767
[c24]
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Florian Faion, Marcus Baum, Uwe D. Hanebeck:
Silhouette measurements for Bayesian object tracking in noisy point clouds. FUSION 2013: 1974-1980
2012
[c23]
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  - conf/cdc/BaumRIH12
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Marcus Baum, Patrick Ruoff, Dominik Itte, Uwe D. Hanebeck:
Optimal point estimates for multi-target states based on kernel distances. CDC 2012: 4764-4769
[c22]
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Marcus Baum, Peter Willett, Uwe D. Hanebeck:
Calculating some exact MMOSPA estimates for particle distributions. FUSION 2012: 847-853
[c21]
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Florian Faion, Marcus Baum, Uwe D. Hanebeck:
Tracking 3D shapes in noisy point clouds with Random Hypersurface Models. FUSION 2012: 2230-2235
[c20]
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Marcus Baum, Florian Faion, Uwe D. Hanebeck:
Modeling the target extent with multiplicative noise. FUSION 2012: 2406-2412
[c19]
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Marcus Baum, Florian Faion, Uwe D. Hanebeck:
Tracking ground moving extended objects using RGBD data. MFI 2012: 186-191
2011
[c18]
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  - conf/cdc/BaumNH11
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Marcus Baum, Benjamin Noack, Uwe D. Hanebeck:
Mixture Random Hypersurface Models for tracking multiple extended objects. CDC/ECC 2011: 3166-3171
[c17]
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Marcus Baum, Uwe D. Hanebeck:
Shape tracking of extended objects and group targets with star-convex RHMs. FUSION 2011: 1-8
[c16]
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Marcus Baum, Uwe D. Hanebeck:
Using symmetric state transformations for multi-target tracking. FUSION 2011: 1-8
[c15]
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Marcus Baum, Benjamin Noack, Frederik Beutler, Dominik Itte, Uwe D. Hanebeck:
Optimal Gaussian filtering for polynomial systems applied to association-free multi-target tracking. FUSION 2011: 1-8
[c14]
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Benjamin Noack, Marcus Baum, Uwe D. Hanebeck:
Covariance intersection in nonlinear estimation based on pseudo Gaussian densities. FUSION 2011: 1-8
[c13]
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Marc Reinhardt, Benjamin Noack, Marcus Baum, Uwe D. Hanebeck:
Analysis of set-theoretic and stochastic models for fusion under unknown correlations. FUSION 2011: 1-8
[c12]
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Marcus Baum, Uwe D. Hanebeck:
Fitting conics to noisy data using stochastic linearization. IROS 2011: 2050-2055
2010
[c11]
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Marcus Baum, Vesa Klumpp, Uwe D. Hanebeck:
A novel Bayesian method for fitting a circle to noisy points. FUSION 2010: 1-6
[c10]
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Marcus Baum, Benjamin Noack, Uwe D. Hanebeck:
Extended object and group tracking with Elliptic Random Hypersurface Models. FUSION 2010: 1-8
[c9]
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Vesa Klumpp, Benjamin Noack, Marcus Baum, Uwe D. Hanebeck:
Combined set-theoretic and stochastic estimation: A comparison of the SSI and the CS filter. FUSION 2010: 1-8
[c8]
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Marcus Baum, Michael Feldmann, Dietrich Fraenken, Uwe D. Hanebeck, Wolfgang Koch:
Extended Object and Group Tracking: A Comparison of Random Matrices and Random Hypersurface Models. GI Jahrestagung (2) 2010: 904-906
[c7]
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Reiner Hähnle, Marcus Baum, Richard Bubel, Marcel Rothe:
A visual interactive debugger based on symbolic execution. ASE 2010: 143-146
[c6]
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Marcus Baum, Uwe D. Hanebeck:
Tracking a minimum bounding rectangle based on extreme value theory. MFI 2010: 56-61
[c5]
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  - conf/mfi/BaumH10a
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Marcus Baum, Uwe D. Hanebeck:
Association-free tracking of two closely spaced targets. MFI 2010: 62-67
[c4]
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  - conf/mfi/BaumGBBH10
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Marcus Baum, Ioana Gheta, Andrey Belkin, Jürgen Beyerer, Uwe D. Hanebeck:
Data association in a world model for autonomous systems. MFI 2010: 187-192
[c3]
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  - conf/vecims/GhetaBBBH10
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Ioana Gheta, Marcus Baum, Andrey Belkin, Jürgen Beyerer, Uwe D. Hanebeck:
Three pillar information management system for modeling the environment of autonomous systems. VECIMS 2010: 12-17
2009
[c2]
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Marcus Baum, Uwe D. Hanebeck:
Extended object tracking based on combined set-theoretic and stochastic fusion. FUSION 2009: 1288-1295
[c1]
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Marcus Baum, Uwe D. Hanebeck:
Tracking an Extended Object Modeled as an Axis-Aligned Rectangle. GI Jahrestagung 2009: 2422-2427

Informal and Other Publications

see FAQ

What is the meaning of the colors in the publication lists?

2021
[i8]
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  - journals/corr/abs-2106-06430
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Laura M. Wolf, Marcus Baum:
Continuous Herded Gibbs Sampling. CoRR abs/2106.06430 (2021)
2019
[i7]
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  - journals/corr/abs-1904-00708
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Kolja Thormann, Marcus Baum:
Optimal Fusion of Elliptic Extended Target Estimates based on the Wasserstein Distance. CoRR abs/1904.00708 (2019)
[i6]
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  - journals/corr/abs-1911-02282
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Claudia Malzer, Marcus Baum:
HDBSCAN(ε̂): An Alternative Cluster Extraction Method for HDBSCAN. CoRR abs/1911.02282 (2019)
2018
[i5]
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  - journals/corr/abs-1805-03276
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Shishan Yang, Marcus Baum:
Tracking the Orientation and Axes Lengths of an Elliptical Extended Object. CoRR abs/1805.03276 (2018)
2016
[i4]
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  - journals/corr/YangB16
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Shishan Yang, Marcus Baum:
Second-Order Extended Kalman Filter for Extended Object and Group Tracking. CoRR abs/1604.00219 (2016)
[i3]
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  - journals/corr/GranstromB16
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Karl Granström, Marcus Baum:
Extended Object Tracking: Introduction, Overview and Applications. CoRR abs/1604.00970 (2016)
2013
[i2]
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  - journals/corr/abs-1304-5084
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Marcus Baum, Uwe D. Hanebeck:
Extended Object Tracking with Random Hypersurface Models. CoRR abs/1304.5084 (2013)
2012
[i1]
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  - journals/corr/abs-1212-5882
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  - https://dblp.org/rec/journals/corr/abs-1212-5882
Marcus Baum, Uwe D. Hanebeck:
The Kernel-SME Filter for Multiple Target Tracking. CoRR abs/1212.5882 (2012)

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