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Marcus Baum
Person information
- affiliation: University of Göttingen, Institute of Computer Science, Germany
- affiliation: Karlsruhe Institute of Technology (KIT), ISAS Lab, Germany
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2020 – today
- 2024
- [c97]Simon Steuernagel, Kolja Thormann, Marcus Baum:
Random Matrix-based Tracking of Rectangular Extended Objects with Contour Measurements. FUSION 2024: 1-8 - [c96]Kolja Thormann, Simon Steuernagel, Marcus Baum:
Indoor Localization based on Short-Range Radar and Rotating Landmarks. FUSION 2024: 1-8 - [c95]Laura M. Wolf, Marcus Baum:
Track-to-track Association based on Deterministic Sampling using Herding. FUSION 2024: 1-6 - 2023
- [j14]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) - [c94]Eugen Ernst, Florian Pfaff
The Kernel-SME Filter with Adaptive Kernel Widths for Association-free Multi-target Tracking. ACC 2023: 355-361 - [c93]Eugen Ernst, Florian Pfaff
Multitarget-Multidetection Tracking Using the Kernel SME Filter. FUSION 2023: 1-7 - [c92]Simon Steuernagel
Evaluation Scores for Elliptic Extended Object Tracking Considering Diverse Object Sizes. FUSION 2023: 1-7 - [c91]Simon Steuernagel
Improved Extended Object Tracking with Efficient Particle-based Orientation Estimation. FUSION 2023: 1-8 - [c90]Robin Volkmar, Kolja Thormann, Keith Soal, Yves Govers
Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring. FUSION 2023: 1-8 - [c89]Laura M. Wolf, Simon Steuernagel
Track-to-track Association based on Stochastic Optimization. FUSION 2023: 1-7 - 2022
- [j13]Kolja Thormann
ImputAccur: fast and user-friendly calculation of genotype-imputation accuracy-measures. BMC Bioinform. 23(1): 316 (2022) - [c88]Simon Steuernagel, Kolja Thormann, Marcus Baum:
CNN-based Shape Estimation for Extended Object Tracking using Point Cloud Measurements. FUSION 2022: 1-8 - [c87]Kolja Thormann, Marcus Baum:
Track-to- Track Fusion for Elliptical Extended Targets Parameterized with Orientation and Semi-Axes Lengths. FUSION 2022: 1-8 - [c86]Laura M. Wolf, Marcus Baum:
Deterministic Gaussian Filtering based on Herding. FUSION 2022: 1-8 - 2021
- [j12]Claudia Malzer
Constraint-Based Hierarchical Cluster Selection in Automotive Radar Data. Sensors 21(10): 3410 (2021) - [j11]Jaya Shradha Fowdur, Marcus Baum, Frank Heymann
Real-World Marine Radar Datasets for Evaluating Target Tracking Methods. Sensors 21(14): 4641 (2021) - [j10]Kolja Thormann
Fusion of Elliptical Extended Object Estimates Parameterized With Orientation and Axes Lengths. IEEE Trans. Aerosp. Electron. Syst. 57(4): 2369-2382 (2021) - [c85]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]Laura M. Wolf, Marcus Baum:
Continuous Herded Gibbs Sampling. FUSION 2021: 1-6 - [c83]Kolja Thormann
Kalman Filter Based Extended Object Tracking with a Gaussian Mixture Spatial Distribution Model. IV Workshops 2021: 293-298 - [c82]Kolja Thormann
Incorporating Range Rate Measurements in EKF-based Elliptical Extended Object Tracking. MFI 2021: 1-6 - [i8]Laura M. Wolf, Marcus Baum:
Continuous Herded Gibbs Sampling. CoRR abs/2106.06430 (2021) - 2020
- [c81]Simon Ollander, Friedrich-Wilhelm Bode, Marcus Baum:
Simulation-based Analysis of Multipath Delay Distributions in Urban Canyons. ENC 2020: 1-10 - [c80]Simon Ollander, Florian A. Schiegg
Dual-frequency Collaborative Positioning for Minimization of GNSS Errors in Urban Canyons. FUSION 2020: 1-8 - [c79]Kolja Thormann
A Comparison of Kalman Filter-based Approaches for Elliptic Extended Object Tracking. FUSION 2020: 1-8 - [c78]Shishan Yang, Laura M. Wolf
Marginal Association Probabilities for Multiple Extended Objects without Enumeration of Measurement Partitions. FUSION 2020: 1-8 - [c77]Simon Ollander, Friedrich-Wilhelm Bode, Marcus Baum:
Multipath Delay Estimation Using Signal Power Measurements from Multiple Carrier Frequencies. ICL-GNSS 2020: 1-5 - [c76]Hauke Kaulbersch, Jens Honer, Marcus Baum:
Assymetric Noise Tailoring for Vehicle Lidar data in Extended Object Tracking. MFI 2020: 191-196 - [c75]Claudia Malzer, Marcus Baum:
A Hybrid Approach To Hierarchical Density-based Cluster Selection. MFI 2020: 223-228 - [c74]Laura M. Wolf
Deterministic Gibbs Sampling for Data Association in Multi-Object Tracking. MFI 2020: 291-296
2010 – 2019
- 2019
- [j9]Shishan Yang
Network Flow Labeling for Extended Target Tracking PHD Filters. IEEE Trans. Ind. Informatics 15(7): 4164-4171 (2019) - [j8]Shishan Yang
Tracking the Orientation and Axes Lengths of an Elliptical Extended Object. IEEE Trans. Signal Process. 67(18): 4720-4729 (2019) - [c73]Jaya Shradha Fowdur, Marcus Baum, Frank Heymann:
Tracking Targets with Known Spatial Extent Using Experimental Marine Radar Data. FUSION 2019: 1-8 - [c72]Hauke Kaulbersch, Jens Honer, Marcus Baum:
EM-based Extended Target Tracking with Automotive Radar using Learned Spatial Distribution Models. FUSION 2019: 1-8 - [c71]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]Kolja Thormann, Marcus Baum:
Optimal Fusion of Elliptic Extended Target Estimates based on the Wasserstein Distance. FUSION 2019: 1-6 - [i7]Kolja Thormann, Marcus Baum:
Optimal Fusion of Elliptic Extended Target Estimates based on the Wasserstein Distance. CoRR abs/1904.00708 (2019) - [i6]Claudia Malzer, Marcus Baum:
HDBSCAN(ε̂): An Alternative Cluster Extraction Method for HDBSCAN. CoRR abs/1911.02282 (2019) - 2018
- [j7]Marco F. Huber
Linear programming based time lag identification in event sequences. Autom. 98: 14-19 (2018) - [j6]Uwe D. Hanebeck
Guest Editorial Special Section on Multisensor Fusion and Integration for Intelligent Systems. IEEE Trans. Ind. Informatics 14(3): 1124-1126 (2018) - [c69]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 - [c68]Hauke Kaulbersch, Jens Honer, Marcus Baum:
A Cartesian B-Spline Vehicle Model for Extended Object Tracking. FUSION 2018: 1-5 - [c67]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]Kolja Thormann
Extended Target Tracking Using Gaussian Processes with High-Resolution Automotive Radar. FUSION 2018: 1764-1770 - [c65]Shishan Yang, Kolja Thormann
Linear-Time Joint Probabilistic Data Association for Multiple Extended Object Tracking. SAM 2018: 6-10 - [c64]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]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 - [i5]Shishan Yang, Marcus Baum:
Tracking the Orientation and Axes Lengths of an Elliptical Extended Object. CoRR abs/1805.03276 (2018) - 2017
- [c62]Araek Tashkandi, Lena Wiese, Marcus Baum:
Comparative Evaluation for Recommender Systems for Book Recommendations. BTW (Workshops) 2017: 291-300 - [c61]Balakumar Balasingam, Marcus Baum
Random finite set particle filter for source enumeration and direction-of-arrival tracking using sonar arrays. FUSION 2017: 1-6 - [c60]Hauke Kaulbersch, Marcus Baum
EM approach for tracking star-convex extended objects. FUSION 2017: 1-7 - [c59]Fabian Sigges, Marcus Baum
A likelihood-free particle filter for multi-obiect tracking. FUSION 2017: 1-5 - [c58]Kolja Thormann
Learning an object tracker with a random forest and simulated measurements. FUSION 2017: 1-4 - [c57]Shishan Yang, Marcus Baum
Extended Kalman filter for extended object tracking. ICASSP 2017: 4386-4390 - [c56]Marc-Andre Zoller, Marcus Baum
Framework for mining event correlations and time lags in large event sequences. INDIN 2017: 805-810 - [c55]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 - [c54]Tran Tuan Nguyen
Online reliability assessment and reliability-aware fusion for Ego-Lane detection using influence diagram and Bayes filter. MFI 2017: 7-14 - [c53]Fabian Sigges, Marcus Baum
A nearest neighbour ensemble Kalman Filter for multi-object tracking. MFI 2017: 227-232 - [c52]Tran Tuan Nguyen
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]Kolja Thormann
Fast road boundary detection and tracking in occupancy grids from laser scans. MFI 2017: 348-353 - 2016
- [j5]Antonio Zea, Florian Faion, Marcus Baum
Level-set random hypersurface models for tracking nonconvex extended objects. IEEE Trans. Aerosp. Electron. Syst. 52(6): 2990-3007 (2016) - [c50]Marcus Baum, Shishan Yang, Uwe D. Hanebeck:
The Kernel-SME filter with false and missing measurements. FUSION 2016: 424-428 - [c49]Shishan Yang, Marcus Baum:
Second-order extended Kalman filter for extended object and group tracking. FUSION 2016: 1178-1184 - [c48]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]Shishan Yang, Marcus Baum
Metrics for performance evaluation of elliptic extended object tracking methods. MFI 2016: 523-528 - [c46]Hauke Kaulbersch, Marcus Baum
An EM approach for contour tracking based on point clouds. MFI 2016: 529-533 - [i4]Shishan Yang, Marcus Baum:
Second-Order Extended Kalman Filter for Extended Object and Group Tracking. CoRR abs/1604.00219 (2016) - [i3]Karl Granström, Marcus Baum:
Extended Object Tracking: Introduction, Overview and Applications. CoRR abs/1604.00970 (2016) - 2015
- [j4]Marcus Baum
On Wasserstein Barycenters and MMOSPA Estimation. IEEE Signal Process. Lett. 22(10): 1511-1515 (2015) - [j3]Marcus Baum
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) - [c45]Balakumar Balasingam, Marcus Baum
MMOSPA estimation with unknown number of objects. ChinaSIP 2015: 706-710 - [c44]Peter Willett, Tod Luginbuhl, Marcus Baum:
The GFMT HPMHT puzzle. FUSION 2015: 338-345 - [c43]Florian Faion, Antonio Zea, Marcus Baum, Uwe D. Hanebeck:
Partial likelihood for unbiased extended object tracking. FUSION 2015: 1022-1029 - [c42]Uwe D. Hanebeck, Marcus Baum:
Association-free direct filtering of multi-target random finite sets with set distance measures. FUSION 2015: 1367-1374 - [c41]Marcus Baum, Balakumar Balasingam, Peter Willett, Uwe D. Hanebeck:
OSPA barycenters for clustering set-valued data. FUSION 2015: 1375-1381 - [c40]Marcus Baum, Peter Willett:
MMOSPA-based direction-of-arrival tracking with a passive sonar array - An experimental study. FUSION 2015: 1382-1387 - [c39]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]Florian Pfaff
TrackSort: Predictive tracking for sorting uncooperative bulk materials. MFI 2015: 7-12 - [c37]Florian Faion, Marcus Baum
Depth sensor calibration by tracking an extended object. MFI 2015: 19-24 - [c36]Jannik Steinbring, Marcus Baum
A closed-form likelihood for Particle Filters to track extended objects with star-convex RHMs. MFI 2015: 25-30 - [c35]Marcus Baum
Kalman filter-based SLAM with unknown data association using Symmetric Measurement Equations. MFI 2015: 49-53 - [c34]Benjamin Noack, Marcus Baum
State estimation for ellipsoidally constrained dynamic systems with set-membership pseudo measurements. MFI 2015: 297-302 - [c33]Florian Faion, Antonio Zea, Jannik Steinbring, Marcus Baum
Recursive Bayesian pose and shape estimation of 3D objects using transformed plane curves. SDF 2015: 1-6 - 2014
- [j2]Marcus Baum
Extended Object Tracking with Random Hypersurface Models. IEEE Trans. Aerosp. Electron. Syst. 50(1): 149-159 (2014) - [c32]Marcus Baum
MMOSPA-based track extraction in the PHD filter - a justification for k-means clustering. CDC 2014: 1816-1821 - [c31]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]Marcus Baum
A hybrid data association model for efficient multi-target maximum likelihood estimation. ICASSP 2014: 4209-4213 - [c29]Gerhard Kurz
Real-time kernel-based multiple target tracking for robotic beating heart surgery. SAM 2014: 201-204 - [c28]Marcus Baum
MMOSPA-based direction-of-arrival estimation for planar antenna arrays. SAM 2014: 209-212 - [c27]Antonio Zea, Florian Faion, Marcus Baum
Tracking simplified shapes using a stochastic boundary. SAM 2014: 221-224 - 2013
- [b1]Marcus Baum:
Simultaneous Tracking and Shape Estimation of Extended Objects. Karlsruhe Institute of Technology, KIT Scientific Publishing 2013 - [c26]Marcus Baum, Uwe D. Hanebeck:
The Kernel-SME filter for multiple target tracking. FUSION 2013: 288-295 - [c25]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]Florian Faion, Marcus Baum, Uwe D. Hanebeck:
Silhouette measurements for Bayesian object tracking in noisy point clouds. FUSION 2013: 1974-1980 - [i2]Marcus Baum, Uwe D. Hanebeck:
Extended Object Tracking with Random Hypersurface Models. CoRR abs/1304.5084 (2013) - 2012
- [j1]Marcus Baum
Extended Object Tracking Based on Set-Theoretic and Stochastic Fusion. IEEE Trans. Aerosp. Electron. Syst. 48(4): 3103-3115 (2012) - [c23]Marcus Baum
Optimal point estimates for multi-target states based on kernel distances. CDC 2012: 4764-4769 - [c22]Marcus Baum, Peter Willett, Uwe D. Hanebeck:
Calculating some exact MMOSPA estimates for particle distributions. FUSION 2012: 847-853 - [c21]Florian Faion, Marcus Baum, Uwe D. Hanebeck:
Tracking 3D shapes in noisy point clouds with Random Hypersurface Models. FUSION 2012: 2230-2235 - [c20]Marcus Baum, Florian Faion, Uwe D. Hanebeck:
Modeling the target extent with multiplicative noise. FUSION 2012: 2406-2412 - [c19]Marcus Baum
Tracking ground moving extended objects using RGBD data. MFI 2012: 186-191 - [i1]Marcus Baum, Uwe D. Hanebeck:
The Kernel-SME Filter for Multiple Target Tracking. CoRR abs/1212.5882 (2012) - 2011
- [c18]Marcus Baum
Mixture Random Hypersurface Models for tracking multiple extended objects. CDC/ECC 2011: 3166-3171 - [c17]Marcus Baum, Uwe D. Hanebeck:
Shape tracking of extended objects and group targets with star-convex RHMs. FUSION 2011: 1-8 - [c16]Marcus Baum, Uwe D. Hanebeck:
Using symmetric state transformations for multi-target tracking. FUSION 2011: 1-8 - [c15]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]Benjamin Noack, Marcus Baum, Uwe D. Hanebeck:
Covariance intersection in nonlinear estimation based on pseudo Gaussian densities. FUSION 2011: 1-8 - [c13]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]Marcus Baum, Uwe D. Hanebeck:
Fitting conics to noisy data using stochastic linearization. IROS 2011: 2050-2055 - 2010
- [c11]Marcus Baum, Vesa Klumpp, Uwe D. Hanebeck:
A novel Bayesian method for fitting a circle to noisy points. FUSION 2010: 1-6 - [c10]Marcus Baum, Benjamin Noack, Uwe D. Hanebeck:
Extended object and group tracking with Elliptic Random Hypersurface Models. FUSION 2010: 1-8 - [c9]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]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]Reiner Hähnle
A visual interactive debugger based on symbolic execution. ASE 2010: 143-146 - [c6]Marcus Baum
Tracking a minimum bounding rectangle based on extreme value theory. MFI 2010: 56-61 - [c5]Marcus Baum
Association-free tracking of two closely spaced targets. MFI 2010: 62-67 - [c4]Marcus Baum
Data association in a world model for autonomous systems. MFI 2010: 187-192 - [c3]Ioana Gheta, Marcus Baum
Three pillar information management system for modeling the environment of autonomous systems. VECIMS 2010: 12-17
2000 – 2009
- 2009
- [c2]Marcus Baum, Uwe D. Hanebeck:
Extended object tracking based on combined set-theoretic and stochastic fusion. FUSION 2009: 1288-1295 - [c1]Marcus Baum, Uwe D. Hanebeck:
Tracking an Extended Object Modeled as an Axis-Aligned Rectangle. GI Jahrestagung 2009: 2422-2427
Coauthor Index
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