Summary

Conference Proceedings
Journal Articles
Editorials
Book Chapters
Recent Preprints
Patents

2025


    2024


    1. Modeling Contour Measurements of Elliptical Extended Objects via Gaussian Spatial Distributions
      S. Steuernagel, K. Thormann, and M. Baum
      2024 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2024.

    2. Reducing Drift of Lidar Odometry by Incorporating OpenStreetMap Building Data
      A. Kurda, S. Steuernagel, L. Jung, and M. Baum
      TechRxiv, Sep. 2024.

    3. Track-to-track Association based on Deterministic Sampling using Herding
      L. M. Wolf and M. Baum
      2024 27th International Conference on Information Fusion (FUSION), 2024.

    4. Random Matrix-based Tracking of Rectangular Extended Objects with Contour Measurements
      S. Steuernagel, K. Thormann, and M. Baum
      2024 27th International Conference on Information Fusion (FUSION), 2024.

    5. Indoor Localization based on Short-Range Radar and Rotating Landmarks
      K. Thormann, S. Steuernagel, and M. Baum
      2024 27th International Conference on Information Fusion (FUSION), 2024.

    6. Extended Object Tracking by Rao-Blackwellized Particle Filtering for Orientation Estimation
      S. Steuernagel and M. Baum
      TechRxiv, Mar. 2024.

    2023


    1. Point Cloud Registration based on Gaussian Mixtures and Pairwise Wasserstein Distances
      S. Steuernagel, A. Kurda, and M. Baum
      2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI), Bonn, Germany, 2023.

    2. Single-Frame Radar Odometry Incorporating Bearing Uncertainty
      K. Thormann and M. Baum
      2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI), Bonn, Germany, 2023.

      Best Paper Award, 2nd Runner Up

    3. Evaluation Scores for Elliptic Extended Object Tracking Considering Diverse Object Sizes
      S. Steuernagel, K. Thormann, and M. Baum
      2023 26th International Conference on Information Fusion (FUSION), Charleston, SC, USA, 2023.

    4. Improved Extended Object Tracking with Efficient Particle-based Orientation Estimation
      S. Steuernagel, K. Thormann, and M. Baum
      2023 26th International Conference on Information Fusion (FUSION), Charleston, SC, USA, 2023.

    5. Track-to-track Association based on Stochastic Optimization
      L. M. Wolf, S. Steuernagel, K. Thormann, and M. Baum
      2023 26th International Conference on Information Fusion (FUSION), Charleston, SC, USA, 2023.

    6. Multitarget–Multidetection Tracking Using the Kernel SME Filter
      E. Ernst, F. Pfaff, M. Baum, and U. D. Hanebeck
      2023 26th International Conference on Information Fusion (FUSION), Charleston, SC, USA, 2023.

    7. Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring
      R. Volkmar, K. Thormann, K. Soal, Y. Govers, M. Böswald, and M. Baum
      2023 26th International Conference on Information Fusion (FUSION), Charleston, SC, USA, 2023.

    8. The Kernel-SME Filter with Adaptive Kernel Widths for Association-free Multi-target Tracking
      E. Ernst, F. Pfaff, U. D. Hanebeck, and M. Baum
      2023 American Control Conference (ACC), San Diego, CA, USA, 2023.

      Best Student Paper Award Finalist

    9. An Overview of the PAKF-JPDA Approach for Elliptical Multiple Extended Target Tracking Using High-Resolution Marine Radar Data
      J. S. Fowdur, M. Baum, F. Heymann, and P. Banys
      Remote Sensing, vol. 15, no. 10, May 2023.

    2022


    1. ImputAccur: fast and user-friendly calculation of genotype-imputation accuracy-measures
      K. A. Thormann, V. Tozzi, P. Starke, H. Bickeböller, M. Baum, and A. Rosenberger
      BMC Bioinformatics, vol. 23, no. 1, Aug. 2022.

    2. CNN-based Shape Estimation for Extended Object Tracking using Point Cloud Measurements
      S. Steuernagel, K. Thormann, and M. Baum
      2022 25th International Conference on Information Fusion (FUSION), Linköping, Sweden, 2022.

    3. Track-to-Track Fusion for Elliptical Extended Targets Parameterized with Orientation and Semi-Axes Lengths
      K. Thormann and M. Baum
      2022 25th International Conference on Information Fusion (FUSION), Linköping, Sweden, 2022.

    4. Deterministic Gaussian Filtering based on Herding
      L. M. Wolf and M. Baum
      2022 25th International Conference on Information Fusion (FUSION), Linköping, Sweden, 2022.

    5. A Tutorial on Multiple Extended Object Tracking
      K. Granström and M. Baum
      TechRxiv, Feb. 2022.

      Tutorial webpage

    6. Apparatus and method for tracking of extended objects. Google Patents, 2022.

    2021


    1. An Elliptical Principal Axes-based Model for Extended Target Tracking with Marine Radar Data
      J. S. Fowdur, M. Baum, and F. Heymann
      2021 IEEE 24th International Conference on Information Fusion (FUSION), South Africa, 2021.

    2. Continuous Herded Gibbs Sampling
      L. Wolf and M. Baum
      2021 IEEE 24th International Conference on Information Fusion (FUSION), South Africa, 2021.

    3. Incorporating Range-Rate Measurements in EKF-based Elliptical Extended Object Tracking
      K. Thormann and M. Baum
      2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Karlsruhe, Germany, 2021.

    4. Fusion of Elliptical Extended Object Estimates Parameterized with Orientation and Axes Lengths
      K. Thormann and M. Baum
      IEEE Transactions on Aerospace and Electronic Systems, vol. 57, no. 4, Aug. 2021.

    5. Real-World Marine Radar Datasets for Evaluating Target Tracking Methods
      J. S. Fowdur, M. Baum, and F. Heymann
      Sensors, vol. 21, no. 14, Jul. 2021.

    6. Kalman Filter Based Extended Object Tracking with a Gaussian Mixture Spatial Distribution Model
      K. Thormann, S. Yang, and M. Baum
      2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), Nagoya, Japan, 2021.

    7. Constraint-Based Hierarchical Cluster Selection in Automotive Radar Data
      C. Malzer and M. Baum
      Sensors, vol. 21, no. 10, May 2021.

    2020


    1. Simulation-based Analysis of Multipath Delay Distributions in Urban Canyons
      S. Ollander, F.-W. Bode, and M. Baum
      2020 European Navigation Conference (ENC), Dresden, Germany, 2020.

    2. Assymetric Noise Tailoring for Vehicle Lidar data in Extended Object Tracking
      H. Kaulbersch, J. Honer, and M. Baum
      2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Virtual, 2020.

    3. Deterministic Gibbs Sampling for Data Association in Multi-Object Tracking
      L. M. Wolf and M. Baum
      2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Virtual, 2020.

    4. A Hybrid Approach To Hierarchical Density-based Cluster Selection
      C. Malzer and M. Baum
      2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Virtual, 2020.

    5. A Comparison of Kalman Filter-based Approaches for Elliptic Extended Object Tracking
      K. Thormann, S. Yang, and M. Baum
      2020 IEEE 23rd International Conference on Information Fusion (FUSION), Virtual, 2020.

    6. Marginal Association Probabilities for Multiple Extended Objects without Enumeration of Measurement Partitions
      S. Yang, L. M. Wolf, and M. Baum
      2020 IEEE 23rd International Conference on Information Fusion (FUSION), Virtual, 2020.

    7. Dual-frequency Collaborative Positioning for Minimization of GNSS Errors in Urban Canyons
      S. Ollander, F. A. Schiegg, F.-W. Bode, and M. Baum
      2020 IEEE 23rd International Conference on Information Fusion (FUSION), Virtual, 2020.

    8. Multipath Delay Estimation Using Signal Power Measurements from Multiple Carrier Frequencies
      S. Ollander, F.-W. Bode, and M. Baum
      2020 International Conference on Localization and GNSS (ICL-GNSS), Tampere, Finland, 2020.

    9. Simulation Science: Second International Workshop, SimScience 2019, Clausthal-Zellerfeld, May 8-10, 2019, Revised Selected Papers
      N. Gunkelmann and M. Baum, Eds.
      Springer Cham 2020.

    10. On ABC Particle Filter Methods for Multiple Object Tracking
      F. Sigges and M. Baum
      Simulation Science: Second International Workshop, SimScience 2019, Clausthal-Zellerfeld, May 8-10, 2019, Revised Selected Papers, 2020.

    2019


    1. Improving bimanual interaction with a prosthesis using semi-autonomous control
      R. Volkmar, S. Dosen, J. Gonzalez-Vargas, M. Baum, and M. Markovic
      Journal of NeuroEngineering and Rehabilitation, vol. 16, no. 1, Nov. 2019.

    2. A Marine Radar Dataset for Multiple Extended Target Tracking
      J. S. Fowdur, M. Baum, and F. Heymann
      1st Maritime Situational Awareness Workshop (MSAW 2019), Villa Marigola, Lerici (La Spezia), Italy, 2019.

    3. Tracking the Orientation and Axes Lengths of an Elliptical Extended Object
      S. Yang and M. Baum
      IEEE Transactions on Signal Processing, vol. 67, no. 18, Sep. 2019.

    4. The Dual-frequency Post-correlation Difference Feature for Detection of Multipath and non-Line-of-Sight Errors in Satellite Navigation
      S. Ollander, F.-W. Bode, and M. Baum
      2019 22th International Conference on Information Fusion (FUSION), Ottawa, Canada, 2019.

    5. Optimal Fusion of Elliptic Extended Target Estimates Based on the Wasserstein Distance
      K. Thormann and M. Baum
      2019 22th International Conference on Information Fusion (FUSION), Ottawa, Canada, 2019.

    6. Tracking Targets with Known Spatial Extent Using Experimental Marine Radar Data
      J. S. Fowdur, M. Baum, and F. Heymann
      2019 22th International Conference on Information Fusion (FUSION), Ottawa, Canada, 2019.

    7. EM-based Extended Target Tracking with Automotive Radar using Learned Spatial Distribution Models
      H. Kaulbersch, J. Honer, and M. Baum
      2019 22th International Conference on Information Fusion (FUSION), Ottawa, Canada, 2019.

    8. Network Flow Labeling for Extended Target Tracking PHD filters
      S. Yang, F. Teich, and M. Baum
      IEEE Transactions on Industrial Informatics, vol. 15, no. 7, Jul. 2019.

    2018


    1. Linear programming based time lag identification in event sequences
      M. F. Huber, M.-A. Zöller, and M. Baum
      Automatica, vol. 98, no. 12, Dec. 2018.

    2. Simulation Science: First International Workshop, SimScience 2017, Göttingen, Germany, April 27-28, 2017, Revised Selected Papers
      M. Baum, G. Brenner, J. Grabowski, T. Hanschke, S. Hartmann, and A. Schöbel, Eds.
      Springer Cham 2018.

    3. Multi-Frequency GNSS Signal Fusion for Minimization of Multipath and Non-Line-of-Sight Errors: A Survey
      S. Ollander, F.-W. Bode, and M. Baum
      2018 15th Workshop on Positioning, Navigation and Communications (WPNC), 2018.

    4. Linear-Time Joint Probabilistic Data Association for Multiple Extended Object Tracking
      S. Yang, K. Thormann, and M. Baum
      2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), Sheffield, United Kingdom, 2018.

    5. Extended Target Tracking Using Gaussian Processes with High-Resolution Automotive Radar
      K. Thormann, M. Baum, and J. Honer
      2018 21st International Conference on Information Fusion (FUSION), Cambridge, United Kingdom, 2018.

    6. A Cartesian B-Spline Vehicle Model for Extended Object Tracking
      H. Kaulbersch, J. Honer, and M. Baum
      2018 21st International Conference on Information Fusion (FUSION), Cambridge, United Kingdom, 2018.

    7. Post-Processing of Multi-Target Trajectories for Traffic Safety Analysis
      T. Janz, A. Leich, M. Junghans, K. Gimm, S. Yang, and M. Baum
      2018 21st International Conference on Information Fusion (FUSION), Cambridge, United Kingdom, 2018.

    8. An Ensemble Kalman Filter for Feature-Based SLAM with Unknown Associations
      F. Sigges, C. Rauterberg, M. Baum, and U. D. Hanebeck
      2018 21st International Conference on Information Fusion (FUSION), Cambridge, United Kingdom, 2018.

    9. A General Reliability-Aware Fusion Concept Using DST and Supervised Learning with Its Applications in Multi-Source Road Estimation
      T. T. Nguyen, J. Spehr, D. Vock, M. Baum, S. Zug, and R. Kruse
      2018 IEEE Intelligent Vehicles Symposium (IV), Changshu, Suzhou, China, 2018.

    10. Guest Editorial Special Section on Multisensor Fusion and Integration for Intelligent Systems
      U. Hanebeck, M. Baum, and M. F. Huber
      IEEE Transactions on Industrial Informatics, vol. 14, no. 3, Mar. 2018.

    11. Ensemble Kalman Filter Variants for Multi-Object Tracking with False and Missing Measurements, in Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System, Springer International Publishing, 2018.

    12. Improving Ego-Lane Detection by Incorporating Source Reliability, in Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System, Springer International Publishing, 2018.

    2017


    1. Extended Object Tracking with Exploitation of Range Rate Measurements
      S. Bordonaro, P. Willett, Y. B. Shalom, T. Luginbuhl, and M. Baum
      ISIF Journal of Advances in Information Fusion, vol. 12, no. 2, Dec. 2017.

    2. Extended Object Tracking: Introduction, Overview and Applications
      K. Granström, M. Baum, and S. Reuter
      ISIF Journal of Advances in Information Fusion, vol. 12, no. 2, Dec. 2017.

      Tutorial webpage

    3. Guest Editorial: Special Issue on Extended Object Tracking
      K. Granström and M. Baum
      ISIF Journal of Advances in Information Fusion, vol. 12, no. 2, Dec. 2017.

    4. A Survey of Performance Measures to Evaluate Ego-Lane Estimation and A Novel Sensor-Independent Measure Along with Its Applications
      T. T. Nguyen, J. Spehr, J. Xiong, M. Baum, S. Zug, and R. Kruse
      2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Daegu, Korea, 2017.

      Best Poster Paper Award

    5. Online reliability assessment and reliability-aware fusion for Ego-Lane detection using influence diagram and Bayes filter
      T. T. Nguyen, J. Spehr, J. Xiong, M. Baum, S. Zug, and R. Kruse
      2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Daegu, Korea, 2017.

    6. A nearest neighbour ensemble Kalman Filter for multi-object tracking
      F. Sigges and M. Baum
      2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Daegu, South Korea, 2017.

    7. Fast road boundary detection and tracking in occupancy grids from laser scans
      K. Thormann, J. Honer, and M. Baum
      2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Daegu, Korea, 2017.

    8. Random finite set particle filter for source enumeration and direction-of-arrival tracking using sonar arrays
      B. Balasingam, M. Baum, and P. Willett
      2017 20th International Conference on Information Fusion (Fusion), Xi’an, P.R. China, 2017.

    9. EM approach for tracking star-convex extended objects
      H. Kaulbersch, M. Baum, and P. Willett
      2017 20th International Conference on Information Fusion (Fusion), Xi’an, P.R. China, 2017.

    10. A likelihood-free particle filter for multi-obiect tracking
      F. Sigges, M. Baum, and U. D. Hanebeck
      2017 20th International Conference on Information Fusion (Fusion), Xi’an, P.R. China, 2017.

    11. Learning an object tracker with a random forest and simulated measurements
      K. Thormann, F. Sigges, and M. Baum
      2017 20th International Conference on Information Fusion (Fusion), Xi’an, P.R. China, 2017.

    12. Framework for mining event correlations and time lags in large event sequences
      M.-A. Zöller, M. Baum, and M. F. Huber
      2017 IEEE 15th International Conference on Industrial Informatics (INDIN), Emden, Germany, 2017.

    13. Cognitive Video Streaming
      D. Pasupuleti, P. Mannaru, B. Balasingam, M. Baum, K. Pattipati, P. Willett, C. Lintz, G. Commeau, F. Dorigo, and J. Fahrny
      ISIF Journal of Advances in Information Fusion, vol. 12, no. 1, Jun. 2017.

    14. GM-PHD filter for multiple extended object tracking based on the multiplicative error shape model and network flow labeling
      F. Teich, S. Yang, and M. Baum
      2017 IEEE Intelligent Vehicles Symposium (IV), Redondo Beach, CA, USA, 2017.

    15. Symmetrizing measurement equations for association-free multi-target tracking via point set distances
      U. D. Hanebeck, M. Baum, and P. Willett
      Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI, Anaheim, California, USA, 2017.

    16. Extended Kalman filter for extended object tracking
      S. Yang and M. Baum
      2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA, 2017.

    17. Comparative Evaluation for Recommender Systems for Book Recommendations
      A. Tashkandi, L. Wiese, and M. Baum
      Datenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband, Bonn, 2017.

    2016


    1. Level-set random hypersurface models for tracking nonconvex extended objects
      A. Zea, F. Faion, M. Baum, and U. D. Hanebeck
      IEEE Transactions on Aerospace and Electronic Systems, vol. 52, no. 6, Dec. 2016.

    2. PMHT Approach for Underwater Bearing-Only Multisensor–Multitarget Tracking in Clutter
      X. Li, P. Willett, M. Baum, and Y. Li
      IEEE Journal of Oceanic Engineering, vol. 41, no. 4, Oct. 2016.

    3. An EM approach for contour tracking based on point clouds
      H. Kaulbersch, M. Baum, and P. Willett
      2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Baden-Baden, Germany, 2016.

    4. Metrics for performance evaluation of elliptic extended object tracking methods
      S. Yang, M. Baum, and K. Granström
      2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Baden-Baden, Germany, 2016.

    5. The Kernel-SME Filter with False and Missing Measurements
      M. Baum, S. Yang, and U. D. Hanebeck
      2016 19th International Conference on Information Fusion (FUSION), Heidelberg, Germany, 2016.

    6. State Estimation Considering Negative Information with Switching Kalman and Ellipsoidal Filtering
      B. Noack, F. Pfaff, M. Baum, and U. D. Hanebeck
      2016 19th International Conference on Information Fusion (FUSION), Heidelberg, Germany, 2016.

    7. Second-order extended Kalman filter for extended object and group tracking
      S. Yang and M. Baum
      2016 19th International Conference on Information Fusion (FUSION), Heidelberg, Germany, 2016.

    2015


    1. On Wasserstein Barycenters and MMOSPA Estimation
      M. Baum, P. Willett, and U. D. Hanebeck
      IEEE Signal Processing Letters, vol. 22, no. 10, Oct. 2015.

    2. Recursive Bayesian pose and shape estimation of 3D objects using transformed plane curves
      F. Faion, A. Zea, J. Steinbring, M. Baum, and U. D. Hanebeck
      2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF), Bonn, Germany, 2015.

    3. Linear‐time JPDAF based on many‐2‐many approximation of marginal association probabilities
      M. Baum
      Electronics Letters, vol. 51, no. 19, Sep. 2015.

    4. Kalman filter-based SLAM with unknown data association using Symmetric Measurement Equations
      M. Baum, B. Noack, and U. D. Hanebeck
      2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), San Diego, California, USA, 2015.

    5. Depth sensor calibration by tracking an extended object
      F. Faion, M. Baum, A. Zea, and U. D. Hanebeck
      2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), San Diego, California, USA, 2015.

    6. State estimation for ellipsoidally constrained dynamic systems with set-membership pseudo measurements
      B. Noack, M. Baum, and U. D. Hanebeck
      2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), San Diego, California, USA, 2015.

    7. TrackSort: Predictive tracking for sorting uncooperative bulk materials
      F. Pfaff, M. Baum, B. Noack, U. D. Hanebeck, R. Gruna, T. Langle, and J. Beyerer
      2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), San Diego, California, USA, 2015.

    8. A closed-form likelihood for Particle Filters to track extended objects with star-convex RHMs
      J. Steinbring, M. Baum, A. Zea, F. Faion, and U. D. Hanebeck
      2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), San Diego, California, USA, 2015.

    9. MMOSPA estimation with unknown number of objects
      B. Balasingam, M. Baum, and P. Willett
      2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP), Chengdu, China, 2015.

    10. OSPA barycenters for clustering set-valued data
      M. Baum, B. Balasingam, P. Willett, and U. D. Hanebeck
      2015 18th International Conference on Information Fusion (Fusion), Washington, USA, 2015.

    11. MMOSPA-based direction-of-arrival tracking with a passive sonar array — An experimental study
      M. Baum and P. Willett
      2015 18th International Conference on Information Fusion (Fusion), Washington, USA, 2015.

    12. Partial likelihood for unbiased extended object tracking
      F. Faion, A. Zea, M. Baum, and U. D. Hanebeck
      2015 18th International Conference on Information Fusion (Fusion), Washington, USA, 2015.

    13. Association-free direct filtering of multi-target random finite sets with set distance measures
      U. D. Hanebeck and M. Baum
      2015 18th International Conference on Information Fusion (Fusion), Washington, USA, 2015.

    14. Online playtime prediction for cognitive video streaming
      D. Pasupuleti, P. Mannaru, B. Balasingam, M. Baum, K. Pattipati, P. Willett, C. Lintz, G. Commeau, F. Dorigo, and J. Fahrny
      2015 18th International Conference on Information Fusion (Fusion), Washington, USA, 2015.

    15. The GFMT HPMHT puzzle
      P. Willett, T. Luginbuhl, and M. Baum
      2015 18th International Conference on Information Fusion (Fusion), Washington, USA, 2015.

    16. Symmetries in Bayesian Extended Object Tracking
      F. Faion, A. Zea, M. Baum, and U. D. Hanebeck
      Journal of Advances in Information Fusion, vol. 10, no. 1, Jun. 2015.

    17. Polynomial-Time Algorithms for the Exact MMOSPA Estimate of a Multi-Object Probability Density Represented by Particles
      M. Baum, P. Willett, and U. D. Hanebeck
      IEEE Transactions on Signal Processing, vol. 63, no. 10, May 2015.

    18. Extracting speed, heading and turn-rate measurements from extended objects using the EM algorithm
      S. Bordonaro, P. Willett, Y. Bar-Shalom, M. Baum, and T. Luginbuhl
      2015 IEEE Aerospace Conference, Big Sky, Montana, USA, 2015.

    19. Conveying System, Plant for Sorting Bulk Goods having a Conveying System of this Type, and Transport method. Google Patents, 2015.

    2014


    1. MMOSPA-based Track Extraction in the PHD Filter – A Justification for k-Means Clustering
      M. Baum, P. Willett, and U. D. Hanebeck
      53rd IEEE Conference on Decision and Control, Los Angeles, California, USA, 2014.

    2. Bayesian estimation of line segments
      F. Faion, A. Zea, M. Baum, and U. D. Hanebeck
      2014 Sensor Data Fusion: Trends, Solutions, Applications (SDF), Bonn, Germany, 2014.

    3. Evaluation of the PMHT approach for passive radar tracking with unknown transmitter associations
      X. Li, M. Baum, P. Willett, and Y. Li
      17th International Conference on Information Fusion (FUSION), Salamanca, Spain, 2014.

    4. Approximate calculation of marginal association probabilities using a hybrid data association model
      M. Baum, P. Willett, Y. Bar-Shalom, and U. D. Hanebeck
      Signal and Data Processing of Small Targets 2014, 2014.

    5. MMOSPA-based direction-of-arrival estimation for planar antenna arrays
      M. Baum, P. Willett, and U. D. Hanebeck
      2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), A Coruña, Spain, 2014.

    6. Real-time kernel-based multiple target tracking for robotic beating heart surgery
      G. Kurz, M. Baum, and U. D. Hanebeck
      2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), A Coruña, Spain, 2014.

    7. Tracking simplified shapes using a stochastic boundary
      A. Zea, F. Faion, M. Baum, and U. D. Hanebeck
      2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), A Coruña, Spain, 2014.

    8. A hybrid data association model for efficient multi-target maximum likelihood estimation
      M. Baum and P. Willett
      2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.

    9. Extended Object Tracking with Random Hypersurface Models
      M. Baum and U. D. Hanebeck
      IEEE Transactions on Aerospace and Electronic Systems, vol. 50, no. 1, Jan. 2014.

    2013


    1. The Kernel-SME filter for multiple target tracking
      M. Baum and U. D. Hanebeck
      Proceedings of the 16th International Conference on Information Fusion, Istanbul, Turkey, 2013.

    2. Silhouette measurements for Bayesian object tracking in noisy point clouds
      F. Faion, M. Baum, and U. D. Hanebeck
      Proceedings of the 16th International Conference on Information Fusion, Istanbul, Turkey, 2013.

    3. Level-Set Random Hypersurface Models for tracking non-convex extended objects
      A. Zea, F. Faion, M. Baum, and U. D. Hanebeck
      Proceedings of the 16th International Conference on Information Fusion, Istanbul, Turkey, 2013.

    2012


    1. Optimal point estimates for multi-target states based on kernel distances
      M. Baum, P. Ruoff, D. Itte, and U. D. Hanebeck
      2012 IEEE 51st IEEE Conference on Decision and Control (CDC), Maui, Hawaii, USA, 2012.

    2. Extended Object Tracking Based on Set-Theoretic and Stochastic Fusion
      M. Baum and U. D. Hanebeck
      IEEE Transactions on Aerospace and Electronic Systems, vol. 48, no. 4, Oct. 2012.

    3. Tracking ground moving extended objects using RGBD data
      M. Baum, F. Faion, and U. D. Hanebeck
      2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Hamburg, Germany, 2012.

      Best Paper Award Finalist

    4. Student research highlight: Simultaneous tracking and shape estimation of extended targets
      M. Baum
      IEEE Aerospace and Electronic Systems Magazine, vol. 27, no. 7, Jul. 2012.

    5. Modeling the target extent with multiplicative noise
      M. Baum, F. Faion, and U. D. Hanebeck
      2012 15th International Conference on Information Fusion, Singapore, 2012.

    6. Calculating some exact MMOSPA estimates for particle distributions
      M. Baum, P. Willett, and U. D. Hanebeck
      2012 15th International Conference on Information Fusion, Singapore, 2012.

    7. Tracking 3D shapes in noisy point clouds with Random Hypersurface Models
      F. Faion, M. Baum, and U. D. Hanebeck
      2012 15th International Conference on Information Fusion, Singapore, 2012.

    8. Evaluation of tracking methods for maritime surveillance
      Y. Fischer, M. Baum, F. Flohr, U. D. Hanebeck, and J. Beyerer
      Signal Processing, Sensor Fusion, and Target Recognition XXI, Baltimore, Maryland, USA, 2012.

    2011


    1. Mixture Random Hypersurface Models for tracking multiple extended objects
      M. Baum, B. Noack, and U. D. Hanebeck
      IEEE Conference on Decision and Control and European Control Conference, Orlando, Florida, USA, 2011.

    2. Fitting conics to noisy data using stochastic linearization
      M. Baum and U. D. Hanebeck
      2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, California, USA, 2011.

    3. Automatic Exploitation of Independencies for Covariance Bounding in Fully Decentralized Estimation
      B. Noack, M. Baum, and U. D. Hanebeck
      Proceedings of the 18th IFAC World Congress (IFAC 2011), Milan, Italy, vol. 44, no. 1, , 2011.

    4. Shape tracking of extended objects and group targets with star-convex RHMs
      M. Baum and U. D. Hanebeck
      14th International Conference on Information Fusion, Chicago, Illinois, USA, 2011.

      Best Student Paper Award

    5. Using Symmetric State Transformations for Multi-Target Tracking
      M. Baum and U. D. Hanebeck
      14th International Conference on Information Fusion, Chicago, Illinois, USA, 2011.

    6. Optimal Gaussian filtering for polynomial systems applied to association-free multi-target tracking
      M. Baum, B. Noack, F. Beutler, D. Itte, and U. D. Hanebeck
      14th International Conference on Information Fusion, Chicago, Illinois, USA, 2011.

    7. Covariance intersection in nonlinear estimation based on pseudo Gaussian densities
      B. Noack, M. Baum, and U. D. Hanebeck
      14th International Conference on Information Fusion, Chicago, Illinois, USA, 2011.

    8. Analysis of set-theoretic and stochastic models for fusion under unknown correlations
      M. Reinhardt, B. Noack, M. Baum, and U. D. Hanebeck
      14th International Conference on Information Fusion, Chicago, Illinois, USA, 2011.

    2010


    1. Extended Object and Group Tracking: A Comparison of Random Matrices and Random Hypersurface Models
      M. Baum, M. Feldmann, D. Fränken, U. D. Hanebeck, and W. Koch
      INFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 2, 2010.

    2. Data association in a world model for autonomous systems
      M. Baum, I. Gheta, A. Belkin, J. Beyerer, and U. D. Hanebeck
      2010 IEEE Conference on Multisensor Fusion and Integration, Salt Lake City, Utah, USA, 2010.

    3. Association-free tracking of two closely spaced targets
      M. Baum and U. D. Hanebeck
      2010 IEEE Conference on Multisensor Fusion and Integration, Salt Lake City, Utah, USA, 2010.

    4. Tracking a minimum bounding rectangle based on extreme value theory
      M. Baum and U. D. Hanebeck
      2010 IEEE Conference on Multisensor Fusion and Integration, Salt Lake City, Utah, USA, 2010.

    5. Three pillar information management system for modeling the environment of autonomous systems
      I. Gheţa, M. Baum, A. Belkin, J. Beyerer, and U. D. Hanebeck
      2010 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems, Taranto, Italy, 2010.

    6. A visual interactive debugger based on symbolic execution
      R. Hähnle, M. Baum, R. Bubel, and M. Rothe
      Proceedings of the IEEE/ACM international conference on Automated software engineering, Antwerp, Belgium, 2010.

    7. A novel Bayesian method for fitting a circle to noisy points
      M. Baum, V. Klumpp, and U. D. Hanebeck
      2010 13th International Conference on Information Fusion, Edinburgh, United Kingdom, 2010.

    8. Extended object and group tracking with Elliptic Random Hypersurface Models
      M. Baum, B. Noack, and U. D. Hanebeck
      2010 13th International Conference on Information Fusion, Edinburgh, United Kingdom, 2010.

    9. Combined set-theoretic and stochastic estimation: A comparison of the SSI and the CS filter
      V. Klumpp, B. Noack, M. Baum, and U. D. Hanebeck
      2010 13th International Conference on Information Fusion, Edinburgh, United Kingdom, 2010.

    2009


    1. Random Hypersurface Models for extended object tracking
      M. Baum and U. D. Hanebeck
      2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Ajman, United Arab Emirates, 2009.

    2. Tracking an Extended Object Modeled as an Axis-Aligned Rectangle
      M. Baum and U. D. Hanebeck
      Informatik 2009 – Im Focus das Leben, Lübeck, Germany, 2009.

    3. Extended object tracking based on combined set-theoretic and stochastic fusion
      M. Baum and U. D. Hanebeck
      2009 12th International Conference on Information Fusion, Seattle, Washington, USA, 2009.