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ORCIDUwe D. Hanebeck
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- affiliation: Karlsruhe Institute of Technology, Germany
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2020 – today
- 2022
[j59]Marko Ristic
, Benjamin Noack, Uwe D. Hanebeck:
Cryptographically Privileged State Estimation With Gaussian Keystreams. IEEE Control. Syst. Lett. 6: 602-607 (2022)- [j58]Michael Fennel, Antonio Zea, Johannes Mangler, Arne Roennau, Uwe D. Hanebeck:
Haptic Rendering of Arbitrary Serial Manipulators for Robot Programming. IEEE Control. Syst. Lett. 6: 716-721 (2022) - [j57]Jakob Thumm, Marcel Reith-Braun, Florian Pfaff, Uwe D. Hanebeck, Merle Flitter, Georg Maier, Robin Gruna, Thomas Längle, Albert Bauer, Harald Kruggel-Emden:
Mixture of Experts of Neural Networks and Kalman Filters for Optical Belt Sorting. IEEE Trans. Ind. Informatics 18(6): 3724-3733 (2022) - [j56]Michael Fennel, Antonio Zea, Uwe D. Hanebeck:
Optimization-Driven Design of a Kinesthetic Haptic Interface With Human-Like Capabilities. IEEE Trans. Haptics 15(1): 45-50 (2022) - 2021
- [j55]Georg Maier, Anja Shevchyk, Merle Flitter, Robin Gruna, Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer:
Motion-based visual inspection of optically indiscernible defects on the example of hazelnuts. Comput. Electron. Agric. 185: 106147 (2021) - [j54]Marko Ristic, Benjamin Noack, Uwe D. Hanebeck:
Secure Fast Covariance Intersection Using Partially Homomorphic and Order Revealing Encryption Schemes. IEEE Control. Syst. Lett. 5(1): 217-222 (2021) - [j53]Kailai Li, Florian Pfaff, Uwe D. Hanebeck:
Unscented Dual Quaternion Particle Filter for SE(3) Estimation. IEEE Control. Syst. Lett. 5(2): 647-652 (2021) - [j52]Xianqing Li, Zhansheng Duan, Uwe D. Hanebeck:
Recursive joint Cramér-Rao lower bound for parametric systems with two-adjacent-states dependent measurements. IET Signal Process. 15(4): 221-237 (2021) - [j51]Michael Fennel, Antonio Zea, Uwe D. Hanebeck:
Haptic-Guided Path Generation for Remote Car-Like Vehicles. IEEE Robotics Autom. Lett. 6(2): 4088-4095 (2021) - [j50]Kailai Li, Meng Li, Uwe D. Hanebeck:
Towards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping. IEEE Robotics Autom. Lett. 6(3): 5167-5174 (2021) - [j49]Kailai Li, Florian Pfaff, Uwe D. Hanebeck:
Progressive von Mises-Fisher Filtering Using Isotropic Sample Sets for Nonlinear Hyperspherical Estimation. Sensors 21(9): 2991 (2021) - [j48]Christopher Funk, Benjamin Noack, Uwe D. Hanebeck:
Conservative Quantization of Covariance Matrices with Applications to Decentralized Information Fusion. Sensors 21(9): 3059 (2021) - [j47]Florian Pfaff, Kailai Li, Uwe D. Hanebeck:
The State Space Subdivision Filter for Estimation on SE(2). Sensors 21(18): 6314 (2021) - [j46]Antonio Zea, Uwe D. Hanebeck:
iviz: A ROS visualization app for mobile devices. Softw. Impacts 8: 100057 (2021) - [j45]Michael Fennel, Stefan Geyer, Uwe D. Hanebeck:
RTCF: A framework for seamless and modular real-time control with ROS. Softw. Impacts 9: 100109 (2021) - [j44]Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer:
Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking. IEEE Trans. Ind. Electron. 68(2): 1548-1559 (2021) - [c339]Johannes Westermann, Antonio Zea, Uwe D. Hanebeck:
Adaptive Sampling for Global Meta Modeling Using a Gaussian Process Variance Measure. ECC 2021: 573-579 - [c338]Jindrich Duník, Ondrej Straka, Uwe D. Hanebeck:
Cooperative Unscented Kalman Filler with Bank of Scaling Parameter Values. FUSION 2021: 1-8 - [c337]Daniel Frisch, Uwe D. Hanebeck:
Deterministic Gaussian Sampling With Generalized Fibonacci Grids. FUSION 2021: 1-8 - [c336]Florian Pfaff, Kailai Li, Uwe D. Hanebeck:
Deep Likelihood Learning for 2-D Orientation Estimation Using a Fourier Filter. FUSION 2021: 1-8 - [c335]Tim Baur, Johannes Reuter, Antonio Zea, Uwe D. Hanebeck:
Shape Estimation and Tracking using Spherical Double Fourier Series for Three-Dimensional Range Sensors. MFI 2021: 1-6 - [c334]Daniel Frisch, Uwe D. Hanebeck:
Gaussian Mixture Estimation from Weighted Samples. MFI 2021: 1-5 - [c333]Florian Pfaff, Kailai Li, Uwe D. Hanebeck:
Conditional Densities and Likelihoods for Hypertoroidal Densities Based on Trigonometric Polynomials. MFI 2021: 1-8 - [c332]Susanne Radtke, Jirí Ajgl, Ondrej Straka, Uwe D. Hanebeck:
Learning and Exploiting Partial Knowledge in Distributed Estimation. MFI 2021: 1-7 - [c331]Haibin Zhao, Christopher Funk, Benjamin Noack, Uwe D. Hanebeck, Michael Beigl:
Kalman Filtered Compressive Sensing Using Pseudo-Measurements. MFI 2021: 1-8 - [i34]Daniel Frisch, Uwe D. Hanebeck:
Deterministic Sampling on the Circle using Projected Cumulative Distributions. CoRR abs/2102.04528 (2021) - [i33]Daniel Frisch, Uwe D. Hanebeck:
Gaussian Mixture Estimation from Weighted Samples. CoRR abs/2106.05109 (2021) - [i32]Kailai Li, Florian Pfaff, Uwe D. Hanebeck:
Hyperspherical Dirac Mixture Reapproximation. CoRR abs/2110.10411 (2021) - 2020
- [j43]Florian Pfaff, Uwe D. Hanebeck:
Sensor-based sorting. Autom. 68(4): 229-230 (2020) - [j42]Florian Pfaff, Christoph Pieper, Georg Maier, Benjamin Noack, Robin Gruna, Harald Kruggel-Emden, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Thomas Längle, Jürgen Beyerer:
Predictive tracking with improved motion models for optical belt sorting. Autom. 68(4): 239-255 (2020) - [j41]Georg Maier, Florian Pfaff, Andrea Bittner, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Uwe D. Hanebeck, Thomas Längle, Jürgen Beyerer:
Characterizing material flow in sensor-based sorting systems using an instrumented particle. Autom. 68(4): 256-264 (2020) - [j40]Daniel Frisch, Uwe D. Hanebeck:
Correction to: TDOA versus ATDOA for wide area multilateration system. EURASIP J. Wirel. Commun. Netw. 2020(1): 43 (2020) - [j39]Daniel Frisch, Uwe D. Hanebeck:
Correction to: Commentary to: TDOA versus ATDOA for wide area multilateration system. EURASIP J. Wirel. Commun. Netw. 2020(1): 107 (2020) - [c330]Uwe D. Hanebeck:
Deterministic Sampling of Multivariate Densities based on Projected Cumulative Distributions. CISS 2020: 1-6 - [c329]Kailai Li, Florian Pfaff, Uwe D. Hanebeck:
Grid-Based Quaternion Filter for SO(3) Estimation. ECC 2020: 1738-1744 - [c328]Ajit Basarur, Jana Mayer, Antonio Zea, Uwe D. Hanebeck:
Position and Speed Estimation for BLDC Motors Using Fourier-Series Regression. FUSION 2020: 1-8 - [c327]Daniel Frisch, Uwe D. Hanebeck:
Progressive Bayesian Filtering with Coupled Gaussian and Dirac Mixtures. FUSION 2020: 1-8 - [c326]Kailai Li, Florian Pfaff, Uwe D. Hanebeck:
Dual Quaternion Sample Reduction for SE(2) Estimation. FUSION 2020: 1-8 - [c325]Florian Pfaff, Kailai Li, Uwe D. Hanebeck:
A Hyperhemispherical Grid Filter for Orientation Estimation. FUSION 2020: 1-8 - [c324]Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck:
Fully Decentralized Estimation Using Square-Root Decompositions. FUSION 2020: 1-8 - [c323]Daniel Frisch, Uwe D. Hanebeck:
Association-Free Multilateration Based on Times of Arrival. ICRA 2020: 1294-1300 - [c322]Hannes Möls, Kailai Li, Uwe D. Hanebeck:
Highly Parallelizable Plane Extraction for Organized Point Clouds Using Spherical Convex Hulls. ICRA 2020: 7920-7926 - [c321]Christoph Pohl, Kevin Hitzler, Raphael Grimm, Antonio Zea, Uwe D. Hanebeck, Tamim Asfour:
Affordance-Based Grasping and Manipulation in Real World Applications. IROS 2020: 9569-9576 - [c320]Christopher Funk, Benjamin Noack, Uwe D. Hanebeck:
Conservative Quantization of Fast Covariance Intersection. MFI 2020: 68-74 - [c319]Daniel Frisch, Uwe D. Hanebeck:
Efficient Deterministic Conditional Sampling of Multivariate Gaussian Densities. MFI 2020: 75-81 - [c318]Florian Pfaff, Kailai Li, Uwe D. Hanebeck:
Estimating Correlated Angles Using the Hypertoroidal Grid Filter. MFI 2020: 101-107 - [c317]Kailai Li, Florian Pfaff, Uwe D. Hanebeck:
Nonlinear von Mises-Fisher Filtering Based on Isotropic Deterministic Sampling. MFI 2020: 108-113 - [c316]Daniel Pollithy, Marcel Reith-Braun, Florian Pfaff, Uwe D. Hanebeck:
Estimating Uncertainties of Recurrent Neural Networks in Application to Multitarget Tracking. MFI 2020: 229-236 - [c315]Benjamin Siebler, Oliver Heirich, Stephan Sand, Uwe D. Hanebeck:
Joint Train Localization and Track Identification based on Earth Magnetic Field Distortions. PLANS 2020: 941-948 - [i31]Antonio Zea, Uwe D. Hanebeck:
iviz: A ROS Visualization App for Mobile Devices. CoRR abs/2008.12725 (2020) - [i30]Kailai Li, Meng Li, Uwe D. Hanebeck:
Towards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping. CoRR abs/2010.13150 (2020) - [i29]Gerhard Kurz, Florian Faion, Florian Pfaff, Antonio Zea, Uwe D. Hanebeck:
Three-dimensional Simultaneous Shape and Pose Estimation for Extended Objects Using Spherical Harmonics. CoRR abs/2012.13580 (2020)
2010 – 2019
- 2019
- [j38]Eva Julia Schmitt, Benjamin Noack, Wolfgang Krippner, Uwe D. Hanebeck:
Gaussianity-Preserving Event-Based State Estimation With an FIR-Based Stochastic Trigger. IEEE Control. Syst. Lett. 3(3): 769-774 (2019) - [j37]Martin Klemm, Uwe D. Hanebeck, Harald Hoppe:
Control Algorithms for 3-DoF Handheld Robotic Devices Used in Orthopedic Surgery. J. Medical Robotics Res. 4(2): 1950002:1-1950002:14 (2019) - [j36]Georg Maier, Florian Pfaff, Matthias Wagner, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer:
Real-time multitarget tracking for sensor-based sorting - A new implementation of the auction algorithm for graphics processing units. J. Real Time Image Process. 16(6): 2261-2272 (2019) - [c314]Florian Rosenthal, Maxim Dolgov, Uwe D. Hanebeck:
Sequence-Based Receding Horizon Control over Networks With Delays and Data Losses. ACC 2019: 1450-1457 - [c313]Jana Mayer, Maxim Dolgov, Tobias Stickling, Selim Özgen, Florian Rosenthal, Uwe D. Hanebeck:
Stochastic Optimal Control Using Gaussian Process Regression over Probability Distributions. ACC 2019: 4847-4853 - [c312]Florian Rosenthal, Markus Jung, Martina Zitterbart, Uwe D. Hanebeck:
CoCPN - Towards Flexible and Adaptive Cyber-Physical Systems Through Cooperation. CCNC 2019: 1-6 - [c311]Florian Rosenthal, Uwe D. Hanebeck:
Sequence-Based Stochastic Receding Horizon Control Using IMM Filtering and Value Function Approximation. CDC 2019: 6424-6430 - [c310]Kailai Li, Daniel Frisch, Benjamin Noack, Uwe D. Hanebeck:
Geometry-driven Deterministic Sampling for Nonlinear Bingham Filtering. ECC 2019: 381-387 - [c309]Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck:
Distributed Estimation with Partially Overlapping States based on Deterministic Sample-based Fusion. ECC 2019: 1822-1829 - [c308]Simon Bultmann, Kailai Li, Uwe D. Hanebeck:
Stereo Visual SLAM Based on Unscented Dual Quaternion Filtering. FUSION 2019: 1-8 - [c307]Daniel Frisch, Uwe D. Hanebeck:
ROTA: Round Trip Times of Arrival for Localization with Unsynchronized Receivers. FUSION 2019: 1-8 - [c306]Tobias Kronauer, Florian Pfaff, Benjamin Noack, Wei Tiant, Georg Maier, Uwe D. Hanebeck:
Feature-Aided Multitarget Tracking for Optical Belt Sorters. FUSION 2019: 1-8 - [c305]Kailai Li, Florian Pfaff, Uwe D. Hanebeck:
Hyperspherical Deterministic Sampling Based on Riemannian Geometry for Improved Nonlinear Bingham Filtering. FUSION 2019: 1-8 - [c304]Benjamin Noack, Umut Orguner, Uwe D. Hanebeck:
Nonlinear Decentralized Data Fusion with Generalized Inverse Covariance Intersection. FUSION 2019: 1-7 - [c303]Florian Pfaff, Kailai Li, Uwe D. Hanebeck:
Fourier Filters, Grid Filters, and the Fourier-Interpreted Grid Filter. FUSION 2019: 1-8 - [c302]Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck:
Distributed Estimation using Square Root Decompositions of Dependent Information. FUSION 2019: 1-8 - [c301]Teng Shao, Zhansheng Duan, Uwe D. Hanebeck:
Multi-Rate Asynchronous Distributed Filtering Under Randomized Gossip Strategy. FUSION 2019: 1-8 - [c300]Antonio Zea, Uwe D. Hanebeck:
Refined Pose Estimation for Square Markers Using Shape Fitting. FUSION 2019: 1-8 - [c299]Qingpeng Zhang, Zhansheng Duan, Uwe D. Hanebeck:
Recursive LMMSE Centralized Fusion with Compressed Multi-Radar Measurements. ICCAIS 2019: 1-6 - [c298]Florian Pfaff, Kailai Li, Uwe D. Hanebeck:
Association Likelihoods for Directional Estimation. ICPS 2019: 211-217 - [c297]Susanne Radtke, Kailai Li, Benjamin Noack, Uwe D. Hanebeck:
Comparative Study of Track-to-Track Fusion Methods for Cooperative Tracking with Bearings-only Measurements. ICPS 2019: 236-241 - [c296]Kailai Li, Florian Pfaff, Uwe D. Hanebeck:
Geometry-Driven Stochastic Modeling of SE(3) States Based on Dual Quaternion Representation. ICPS 2019: 254-260 - [c295]Florian Rosenthal, Uwe D. Hanebeck:
A Control Approach for Cooperative Sharing of Network Resources in Cyber-Physical Systems. ICPS 2019: 361-367 - [c294]Selim Özgen, Saskia Kohn, Benjamin Noack, Uwe D. Hanebeck:
State Estimation with Model-Mismatch-Based Secrecy against Eavesdroppers. ICPS 2019: 808-812 - [c293]Janko Petereit, Jürgen Beyerer, Tamim Asfour, Sascha Gentes, Björn Hein, Uwe D. Hanebeck, Frank Kirchner, Rüdiger Dillmann, Hans Heinrich Götting, Martin Weiser, Michael Gustmann, Thomas Egloffstein:
ROBDEKON: Robotic Systems for Decontamination in Hazardous Environments. SSRR 2019: 249-255 - [i28]Kailai Li, Johannes Cox, Benjamin Noack, Uwe D. Hanebeck:
Improved Pose Graph Optimization for Planar Motions Using Riemannian Geometry on the Manifold of Dual Quaternions. CoRR abs/1907.13566 (2019) - [i27]Uwe D. Hanebeck:
Deterministic Sampling of Multivariate Densities based on Projected Cumulative Distributions. CoRR abs/1912.12875 (2019) - 2018
- [j35]Jindrich Duník, Ondrej Straka, Benjamin Noack, Jannik Steinbring, Uwe D. Hanebeck:
Directional splitting of Gaussian density in non-linear random variable transformation. IET Signal Process. 12(9): 1073-1081 (2018) - [j34]Katharina Dormann, Benjamin Noack, Uwe D. Hanebeck:
Optimally Distributed Kalman Filtering with Data-Driven Communication. Sensors 18(4): 1034 (2018) - [j33]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) - [j32]Gerhard Kurz, Florian Pfaff, Uwe D. Hanebeck:
Application of Discrete Recursive Bayesian Estimation on Intervals and the Unit Circle to Filtering on SE(2). IEEE Trans. Ind. Informatics 14(3): 1197-1206 (2018) - [c292]Maxim Dolgov, Gerhard Kurz, Daniela Grimm, Florian Rosenthal, Uwe D. Hanebeck:
Stochastic Optimal Control using Local Sample-based Value Function Approximation. ACC 2018: 2145-2150 - [c291]Gerhard Kurz, Uwe D. Hanebeck:
Improved Progressive Gaussian Filtering Using LRKF Priors. ACC 2018: 4255-4260 - [c290]Florian Rosenthal, Benjamin Noack, Uwe D. Hanebeck:
Scheduling of Measurement Transmission in Networked Control Systems Subject to Communication Constraints. ACC 2018: 5730-5736 - [c289]Fabian Sigges, Christoph Rauterberg, Marcus Baum, Uwe D. Hanebeck:
An Ensemble Kalman Filter for Feature-Based SLAM with Unknown Associations. FUSION 2018: 1-7 - [c288]Qi Wang, Zhansheng Duan, X. Rong Li, Uwe D. Hanebeck:
Convex Combination for Source Localization Using Received Signal Strength Measurements. FUSION 2018: 323-330 - [c287]Kailai Li, Gerhard Kurz, Lukas Bernreiter, Uwe D. Hanebeck:
Nonlinear Progressive Filtering for SE(2) Estimation. FUSION 2018: 712-719 - [c286]Mikhail Aristov, Benjamin Noack, Uwe D. Hanebeck, Jörn Müller-Quade:
Encrypted Multisensor Information Filtering. FUSION 2018: 1631-1637 - [c285]Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck, Ondrej Straka:
Reconstruction of Cross-Correlations with Constant Number of Deterministic Samples. FUSION 2018: 1638-1645 - [c284]Kailai Li, Gerhard Kurz, Lukas Bernreiter, Uwe D. Hanebeck:
Simultaneous Localization and Mapping Using a Novel Dual Quaternion Particle Filter. FUSION 2018: 1668-1675 - [c283]Jindrich Havlik, Ondrej Straka, Uwe D. Hanebeck:
Stochastic Integration Filter: Theoretical and Implementation Aspects. FUSION 2018: 1699-1706 - [c282]Selim Ozgen, Florian Rosenthal, Jana Mayer, Benjamin Noack, Uwe D. Hanebeck, Marco F. Huber:
Retrodiction of Data Association Probabilities via Convex Optimization. FUSION 2018: 2430-2436 - [c281]Kailai Li, Daniel Frisch, Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck:
Wavefront Orientation Estimation Based on Progressive Bingham Filtering. SDF 2018: 1-6 - [i26]Uwe D. Hanebeck:
FLUX: Progressive State Estimation Based on Zakai-type Distributed Ordinary Differential Equations. CoRR abs/1808.02825 (2018) - [i25]Maxim Dolgov, Uwe D. Hanebeck:
A Distance-based Framework for Gaussian Processes over Probability Distributions. CoRR abs/1809.09193 (2018) - 2017
- [j31]Florian Pfaff, Georg Maier, Mikhail Aristov, Benjamin Noack, Robin Gruna, Uwe D. Hanebeck, Thomas Längle, Jürgen Beyerer, Christoph Pieper, Harald Kruggel-Emden, Siegmar Wirtz, Viktor Scherer:
Real-time motion prediction using the chromatic offset of line scan cameras. Autom. 65(6): 369 (2017) - [j30]Benjamin Noack, Joris Sijs, Marc Reinhardt, Uwe D. Hanebeck:
Decentralized data fusion with inverse covariance intersection. Autom. 79: 35-41 (2017) - [j29]Maxim Dolgov, Uwe D. Hanebeck:
Static Output-Feedback Control of Markov Jump Linear Systems Without Mode Observation. IEEE Trans. Autom. Control. 62(10): 5401-5406 (2017) - [j28]Gerhard Kurz, Uwe D. Hanebeck:
Deterministic Sampling on the Torus for Bivariate Circular Estimation. IEEE Trans. Aerosp. Electron. Syst. 53(1): 530-534 (2017) - [c280]Gerhard Kurz, Uwe D. Hanebeck:
Linear regression Kalman filtering based on hyperspherical deterministic sampling. CDC 2017: 977-983 - [c279]Gerhard Kurz, Florian Pfaff, Uwe D. Hanebeck:
Nonlinear toroidal filtering based on bivariate wrapped normal distributions. FUSION 2017: 1-8 - [c278]Xianqing Li, Zhansheng Duan, Uwe D. Hanebeck:
Performance ranking of multiple nonlinear filters using ranking vector and voting fusion. FUSION 2017: 1-8 - [c277]Benjamin Noack, Joris Sijs, Uwe D. Hanebeck:
Inverse covariance intersection: New insights and properties. FUSION 2017: 1-8 - [c276]Florian Pfaff, Benjamin Noack, Uwe D. Hanebeck:
Optimal distributed combined stochastic and set-membership state estimation. FUSION 2017: 1-10 - [c275]Florian Pfaff, Benjamin Noack, Uwe D. Hanebeck, Felix Govaers, Wolfgang Koch:
Information form distributed Kalman filtering (IDKF) with explicit inputs. FUSION 2017: 1-8 - [c274]Fabian Sigges, Marcus Baum, Uwe D. Hanebeck:
A likelihood-free particle filter for multi-obiect tracking. FUSION 2017: 1-5 - [c273]Gerhard Kurz, Florian Pfaff, Uwe D. Hanebeck:
Discretization of SO(3) using recursive tesseract subdivision. MFI 2017: 49-55 - [c272]Florian Pfaff, Gerhard Kurz, Uwe D. Hanebeck:
Filtering on the unit sphere using spherical harmonics. MFI 2017: 124-130 - [c271]Katharina Dormann, Benjamin Noack, Uwe D. Hanebeck:
Distributed Kalman filtering with reduced transmission rate. MFI 2017: 253-259 - [c270]Florian Rosenthal, Benjamin Noack, Uwe D. Hanebeck:
State estimation in networked control systems with delayed and lossy acknowledgments. MFI 2017: 435-441 - [c269]Florian Pfaff, Gerhard Kurz, Christoph Pieper, Georg Maier, Benjamin Noack, Harald Kruggel-Emden, Robin Gruna, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Thomas Längle, Jürgen Beyerer:
Improving multitarget tracking using orientation estimates for sorting bulk materials. MFI 2017: 553-558 - [c268]Selim Ozgen, Florian Faion, Antonio Zea, Uwe D. Hanebeck:
A non-parametric inference technique for shape boundaries in noisy point clouds. MFI 2017: 626-631 - [i24]Gerhard Kurz, Igor Gilitschenski, Florian Pfaff, Lukas Drude, Uwe D. Hanebeck, Reinhold Haeb-Umbach, Roland Yves Siegwart:
Directional Statistics and Filtering Using libDirectional. CoRR abs/1712.09718 (2017) - 2016
- [j27]Gerhard Kurz, Igor Gilitschenski, Uwe D. Hanebeck:
Unscented von Mises-Fisher Filtering. IEEE Signal Process. Lett. 23(4): 463-467 (2016) - [j26]Igor Gilitschenski, Gerhard Kurz, Simon J. Julier, Uwe D. Hanebeck:
Unscented Orientation Estimation Based on the Bingham Distribution. IEEE Trans. Autom. Control. 61(1): 172-177 (2016) - [j25]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) - [c267]