Summary

Conference Proceedings
Journal Articles
Editorials
Book Chapters
Recent Preprints
Patents

2019


  1. 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
    22nd International Conference on Information Fusion (FUSION 2019), Ottawa, Canada, 2019.

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

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

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

  5. Tracking the Orientation and Axes Lengths of an Elliptical Extended Object
    S. Yang and M. Baum
    IEEE Transactions on Signal Processing, 2019.

    accepted, to appear

  6. Network Flow Labeling for Extended Target Tracking PHD filters
    S. Yang, F. Teich, and M. Baum
    IEEE Transactions on Industrial Informatics, 2019.

2018


  1. Linear Programming based Time Lag Identification in Event Sequences
    M. F. Huber, M.-A. Zöller, and M. Baum
    Automatica, vol. 54, 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.
    Communications in Computer and Information Science (CCIS), Springer International Publishing 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
    IEEE 15th Workshop on Positioning, Navigation and Communications (WPNC’18), 2018.

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

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

  6. A Cartesian B-Spline Vehicle Model for Extended Object Tracking
    H. Kaulbersch, J. Honer, and M. Baum
    21st International Conference on Information Fusion (FUSION 2018), 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
    21st International Conference on Information Fusion (FUSION 2018), 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
    21st International Conference on Information Fusion (FUSION 2018), 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
    Proceedings of the IEEE Intelligent Vehicles Symposium (IV 2018), Changshu, Suzhou, China, 2018.

  10. Guest Editorial Special Section on Multisensor Fusion and Integration for Intelligent Systems
    U. D. Hanebeck, M. Baum, and M. F. Huber, Eds.
    IEEE Transactions on Industrial Informatics 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, Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017), Lecture Notes in Electrical Engineering (LNEE), Springer, 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, Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017), Lecture Notes in Electrical Engineering (LNEE), Springer, 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, Eds.
    ISIF Journal of Advances in Information Fusion 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
    Proceedings of the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017), 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
    Proceedings of the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017), 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, pp. pp. 227–232, 2017.

  7. Fast Road Boundary Detection and Tracking in Occupancy Grids from Laser Scans
    K. Thormann, J. Honer, and M. Baum
    Proceedings of the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017), 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
    Proceedings of the 20th International Conference on Information Fusion (FUSION 2017), Xi’an, P.R. China, 2017.

  9. EM Approach for Tracking Star-Convex Extended Objects
    H. Kaulbersch, M. Baum, and P. Willett
    Proceedings of the 20th International Conference on Information Fusion (Fusion 2017), Xi’an, P.R. China, 2017.

  10. A Likelihood-Free Particle Filter for Multi-Object Tracking
    F. Sigges, M. Baum, and U. D. Hanebeck
    Proceedings of the 20th International Conference on Information Fusion (FUSION 2017), 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
    Proceedings of the 20th International Conference on Information Fusion (FUSION 2017), Xi’an, P.R. China, 2017.

  12. Framework for Mining Event Correlations and Time Lags in Event Sequences
    M.-A. Zöller, M. Baum, and M. Huber
    IEEE 15th International Conference on Industrial Informatics (INDIN 2017), 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
    Proceedings of the IEEE Intelligent Vehicles Symposium (IV 2017), 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
    SPIE - Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI, Anaheim, California, USA, 2017.

  16. Comparative Evaluation for Recommender Systems for Book Recommendations
    A. Tashkandi, L. Wiese, and M. Baum
    Datenbanksysteme für Business, Technologie und Web (BTW 2017), 17. Fachtagung des GI Fachbereichs Datenbanken und Informationssysteme (DBIS), pp. pp. 291–300, 2017.

  17. Extended Kalman Filter for Extended Object Tracking
    S. Yang and M. Baum
    Proceedings of the 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), New Orleans, USA, 2017.

2016


  1. Conveying System, Plant for Sorting Bulk Goods having a Conveying System of this Type, and Transport method. Google Patents, Dec-2016.

  2. Level-Set Random Hypersurface Models for Tracking Non-Convex Extended Objects
    A. Zea, F. Faion, M. Baum, and U. Hanebeck
    IEEE Transactions on Aerospace and Electronic Systems, vol. 52, no. 6, Dec. 2016.

  3. An EM Approach for Contour Tracking based on Point Clouds
    H. Kaulbersch, M. Baum, and P. Willett
    Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016), Baden-Baden, Germany, 2016.

  4. Metrics for Performance Evaluation of Elliptic Extended Object Tracking Methods
    S. Yang, M. Baum, and K. Granström
    Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016), Baden-Baden, Germany, 2016.

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

  7. Second-Order Extended Kalman Filter for Extended Object and Group Tracking
    S. Yang and M. Baum
    Proceedings of the 19th International Conference on Information Fusion (Fusion 2016), Heidelberg, Germany, 2016.

  8. 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. PP, no. 99, 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
    Proceedings of the IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF 2015), Bonn, Germany, 2015.

  3. Kalman Filter-based SLAM with Unknown Data Association using Symmetric Measurement Equations
    M. Baum, B. Noack, and U. D. Hanebeck
    Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Information Integration (MFI 2015), San Diego, California, USA, 2015.

  4. Depth Sensor Calibration by Means of Tracking an Extended Object
    F. Faion, M. Baum, and U. D. Hanebeck
    Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Information Integration (MFI 2015), San Diego, California, USA, 2015.

  5. State Estimation for Ellipsoidally Constrained Dynamic Systems with Set-membership Pseudo Measurements
    B. Noack, M. Baum, and U. D. Hanebeck
    Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Information Integration (MFI 2015), San Diego, California, USA, 2015.

  6. TrackSort: Predictive Tracking for Sorting Uncooperative Bulk Materials
    F. Pfaff, M. Baum, B. Noack, U. D. Hanebeck, R. Gruna, T. Längle, and J. Beyerer
    Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Information Integration (MFI 2015), San Diego, California, USA, 2015.

  7. 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
    Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Information Integration (MFI 2015), San Diego, California, USA, 2015.

  8. MMOSPA Estimation with Unknown Number of Objects
    B. Balasingam, M. Baum, and P. Willett
    IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP), Chengdu, China, 2015.

  9. OSPA Barycenters for Clustering Set-Valued Data
    M. Baum, B. Balasingam, P. Willett, and U. D. Hanebeck
    Proceedings of the 18th International Conference on Information Fusion (Fusion 2015), Washington, USA, 2015.

  10. MMOSPA-based Direction-of-Arrival Tracking with a Passive Sonar Array - An Experimental Study
    M. Baum and P. Willett
    Proceedings of the 18th International Conference on Information Fusion (Fusion 2015), Washington, USA, 2015.

  11. Partial Likelihood for Unbiased Extended Object Tracking
    F. Faion, A. Zea, M. Baum, and U. D. Hanebeck
    Proceedings of the 18th International Conference on Information Fusion (Fusion 2015), Washington, USA, 2015.

  12. Association-Free Direct Filtering of Multi-Target Random Finite Sets with Set Distance Measures
    U. D. Hanebeck and M. Baum
    Proceedings of the 18th International Conference on Information Fusion (Fusion 2015), Washington, USA, 2015.

  13. Online Playtime Prediction for Cognitive Video Streaming
    D. Pasupuleti, P. Mannaru, B. Balasingam, M. Baum, K. R. Pattipati, P. Willett, C. Lintz, G. Commeau, F. Dorigo, and J. Fahrny
    Proceedings of the 18th International Conference on Information Fusion (Fusion 2015), Washington, USA, 2015.

  14. The GFMT HPMHT Puzzle
    P. Willett, T. E. Luginbuhl, and M. Baum
    Proceedings of the 18th International Conference on Information Fusion (Fusion 2015), Washington, USA, 2015.

  15. 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.

  16. 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.

  17. Extracting Speed, Heading and Turn-Rate Measurements from Extended Objects Using the EM Algorithm
    S. Bordonaro, P. Willett, Y. B. Shalom, M. Baum, and T. Luginbuhl
    IEEE Aerospace Conference, Big Sky, Montana, USA, 2015.

  18. Cognitive Video Streaming
    D. Pasupuleti, P. Mannaru, B. Balasingam, M. Baum, K. R. Pattipati, and W. P.
    International Conference on Electrical, Electronics, Engineering Trends, Communication, Optimization and Sciences (EEECOS), Vijayawada, Andhra Pradesh, India, 2015.

  19. Linear-time JPDAF based on Many-2-Many Approximation of Marginal Association Probabilities
    M. Baum
    Electronics Letters, vol. 51, 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
    Proceedings of the 53rd IEEE Conference on Decision and Control (CDC 2014), Los Angeles, California, USA, 2014.

  2. Bayesian Estimation of Line Segments
    F. Faion, A. Zea, M. Baum, and U. D. Hanebeck
    Proceedings of the IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF 2014), 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
    Proceedings of the 17th International Conference on Information Fusion (Fusion 2014), Salamanca, Spain, 2014.

  4. MMOSPA-based Direction-of-Arrival Estimation for Planar Antenna Arrays
    M. Baum, P. Willett, and U. D. Hanebeck
    Proceedings of the Eighth IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2014), A Coruña, Spain, 2014.

  5. Real-time Kernel-based Multiple Target Tracking for Robotic Beating Heart Surgery
    G. Kurz, M. Baum, and U. D. Hanebeck
    Proceedings of the Eighth IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2014), A Coruña, Spain, 2014.

  6. Tracking Simplified Shapes Using a Stochastic Boundary
    A. Zea, F. Faion, M. Baum, and U. D. Hanebeck
    Proceedings of the Eighth IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2014), A Coruña, Spain, 2014.

  7. Extended Object Tracking with Random Hypersurface Models
    M. Baum and U. D. Hanebeck
    IEEE Transactions on Aerospace and Electronic Systems, vol. 50, Jan. 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. Approximate Calculation of Marginal Association Probabilities using a Hybrid Data Association Model
    M. Baum, P. Willett, Y. Bar-Shalom, and U. D. Hanebeck
    SPIE - Signal and Data Processing of Small Targets 2014, 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 (Fusion 2013), 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 (Fusion 2013), Istanbul, Turkey, 2013.

  3. Level-Set Random Hyper Surface Models for Tracking Complex Extended Objects
    A. Zea, F. Faion, M. Baum, and U. D. Hanebeck
    Proceedings of the 16th International Conference on Information Fusion (Fusion 2013), 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
    Proceedings of the 51st IEEE Conference on Decision and Control (CDC 2012), 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
    Proceedings of the 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2012), Hamburg, Germany, 2012.

    Best Student 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
    Proceedings of the 15th International Conference on Information Fusion (Fusion 2012), Singapore, 2012.

  6. Calculating Some Exact MMOSPA Estimates for Particle Distributions
    M. Baum, P. Willett, and U. D. Hanebeck
    Proceedings of the 15th International Conference on Information Fusion (Fusion 2012), Singapore, 2012.

  7. Tracking 3D Shapes in Noisy Point Clouds with Random Hypersurface Models
    F. Faion, M. Baum, and U. D. Hanebeck
    Proceedings of the 15th International Conference on Information Fusion (Fusion 2012), Singapore, 2012.

  8. Evaluation of Tracking Methods for Maritime Surveillance
    Y. Fischer, M. Baum, F. Flohr, U. Hanebeck, and J. Beyerer
    Signal Processing, Sensor Fusion, and Target Recognition XXI (Proceedings of SPIE), Baltimore, Maryland, USA, 2012.

2011


  1. Random Hypersurface Mixture Models for Tracking Multiple Extended Objects
    M. Baum, B. Noack, and U. D. Hanebeck
    Proceedings of the 50th IEEE Conference on Decision and Control (CDC 2011), Orlando, Florida, USA, 2011.

  2. Fitting Conics to Noisy Data Using Stochastic Linearization
    M. Baum and U. D. Hanebeck
    Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), 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, 2011.

  4. Shape Tracking of Extended Objects and Group Targets with Star-Convex RHMs
    M. Baum and U. D. Hanebeck
    Proceedings of the 14th International Conference on Information Fusion (Fusion 2011), Chicago, Illinois, USA, 2011.

    Best Student Paper Award

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

  7. Covariance Intersection in Nonlinear Estimation Based on Pseudo Gaussian Densities
    B. Noack, M. Baum, and U. D. Hanebeck
    Proceedings of the 14th International Conference on Information Fusion (Fusion 2011), 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
    Proceedings of the 14th International Conference on Information Fusion (Fusion 2011), 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
    Proceedings of the IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF 2010), Leipzig, Germany, 2010.

  2. Data Association in a World Model for Autonomous Systems
    M. Baum, I. Gheta, A. Belkin, J. Beyerer, and U. D. Hanebeck
    Proceedings of the 2010 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2010), Salt Lake City, Utah, USA, 2010.

  3. Association-free Tracking of Two Closely Spaced Targets
    M. Baum and U. D. Hanebeck
    Proceedings of the 2010 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2010), Salt Lake City, Utah, USA, 2010.

  4. Tracking a Minimum Bounding Rectangle based on Extreme Value Theory
    M. Baum and U. D. Hanebeck
    Proceedings of the 2010 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2010), Salt Lake City, Utah, USA, 2010.

  5. Three Pillar Information Management System for Modeling the Environment of Autonomous Systems
    I. Gheta, M. Baum, A. Belkin, J. Beyerer, and U. D. Hanebeck
    Proceedings of the 2010 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS 2010), Taranto, Italy, 2010.

  6. A Visual Interactive Debugger Based on Symbolic Execution
    R. Hähnle, M. Baum, R. Bubel, and M. Rothe
    Proceedings of the 25th IEEE/ACM International Conference on Automated Software Engineering (ASE 2010), Antwerp, Belgium, 2010.

  7. A Novel Bayesian Method for Fitting a Circle to Noisy Points
    M. Baum, V. Klumpp, and U. D. Hanebeck
    Proceedings of the 13th International Conference on Information Fusion (Fusion 2010), Edinburgh, United Kingdom, 2010.

  8. Extended Object and Group Tracking with Elliptic Random Hypersurface Models
    M. Baum, B. Noack, and U. D. Hanebeck
    Proceedings of the 13th International Conference on Information Fusion (Fusion 2010), 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
    Proceedings of the 13th International Conference on Information Fusion (Fusion 2010), Edinburgh, United Kingdom, 2010.

2009


  1. Random Hypersurface Models for Extended Object Tracking
    M. Baum and U. D. Hanebeck
    Proceedings of the 9th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2009), Ajman, United Arab Emirates, 2009.

  2. Tracking an Extended Object Modeled as an Axis-Aligned Rectangle
    M. Baum and U. D. Hanebeck
    4th German Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF 2009), 39th Annual Conference of the Gesellschaft für Informatik e.V. (GI), Lübeck, Germany, 2009.

  3. Extended Object Tracking based on Combined Set-Theoretic and Stochastic Fusion
    M. Baum and U. D. Hanebeck
    Proceedings of the 12th International Conference on Information Fusion (Fusion 2009), Seattle, Washington, USA, 2009.


Data Fusion Group
Institute of Computer Science
University of Göttingen
Goldschmidtstraße 7
37077 Göttingen
Germany