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ORCIDVolker Willert
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2020 – today
- 2023
[i10]Tim Puphal, Benedict Flade, Malte Probst, Volker Willert, Jürgen Adamy, Julian Eggert:
Online and Predictive Warning System for Forced Lane Changes using Risk Maps. CoRR abs/2303.08458 (2023)- 2022
- [j24]Raul Acuna, Volker Willert:
Dynamische visuelle Passermarken. Autom. 70(3): 267-279 (2022) - [j23]Georg Bretthauer, Volker Willert:
Prof. Dr.-Ing. Jürgen Adamy zum 60. Geburtstag. Autom. 70(3): 312-314 (2022) - [j22]Jan Zimmermann
, Tatiana Tatarenko, Volker Willert, Jürgen Adamy:
Gradient-Tracking-basierte Lösung von Multi-Cluster-Spielen. Autom. 70(4): 355-366 (2022) - [j21]Christoph Ziegler, Volker Willert, Jürgen Adamy:
Modeling Driving Behavior of Human Drivers for Trajectory Planning. IEEE Trans. Intell. Transp. Syst. 23(11): 20889-20898 (2022) - [j20]Tim Puphal, Benedict Flade, Malte Probst, Volker Willert, Jürgen Adamy, Julian Eggert:
Online and Predictive Warning System for Forced Lane Changes Using Risk Maps. IEEE Trans. Intell. Veh. 7(3): 616-626 (2022) - [i9]Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy:
Projected gradient-tracking in multi-cluster games and its application to power management. CoRR abs/2202.12124 (2022) - 2021
- [j19]Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy:
Solving leaderless multi-cluster games over directed graphs. Eur. J. Control 62: 14-21 (2021) - [c58]Yury Furletov, Volker Willert, Jürgen Adamy:
Auditory Scene Understanding for Autonomous Driving. IV 2021: 697-702 - [i8]Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy:
Gradient-Tracking over Directed Graphs for solving Leaderless Multi-Cluster Games. CoRR abs/2102.09406 (2021) - 2020
- [c57]Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy:
Projected Push-Sum Gradient Descent-Ascent for Convex Optimization with Application to Economic Dispatch Problems. CDC 2020: 542-547 - [i7]Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy:
Projected Push-Sum Gradient Descent-Ascent for Convex Optimizationwith Application to Economic Dispatch Problems. CoRR abs/2004.02854 (2020) - [i6]Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy:
Revisiting Consensus-Based Energy-Management in Smart Grid with Transmission Losses and Directed Communication. CoRR abs/2009.08758 (2020)
2010 – 2019
- 2019
- [j18]Julian Schwehr, Stefan Luthardt, Hien Q. Dang, Maren Henzel, Hermann Winner, Jürgen Adamy, Johannes Fürnkranz, Volker Willert, Benedikt Lattke, Maximilian Höpfl, Christoph Wannemacher:
The PRORETA 4 City Assistant System. Autom. 67(9): 783-798 (2019) - [j17]Jan Zimmermann, Tatiana Tatarenko, Volker Willert, Jürgen Adamy:
Optimales Energie-Management über verteilte, beschränkte Gradientenverfahren. Autom. 67(11): 922-935 (2019) - [c56]Tatiana Tatarenko, Jan Zimmermann, Volker Willert, Jürgen Adamy:
Penalized Push-Sum Algorithm for Constrained Distributed Optimization with Application to Energy Management in Smart Grid. CDC 2019: 6234-6241 - [c55]Stefan Luthardt, Christoph Ziegler, Volker Willert, Jürgen Adamy:
How to Match Tracks of Visual Features for Automotive Long-Term SLAM. ITSC 2019: 934-941 - [c54]Julian Schwehr, Moritz Knaust, Volker Willert:
How to Evaluate Object-of-Fixation Detection. IV 2019: 570-577 - [c53]Hanno Winter, Stefan Luthardt, Volker Willert, Jürgen Adamy:
Generating Compact Geometric Track-Maps for Train Positioning Applications. IV 2019: 1027-1032 - [i5]Hanno Winter, Stefan Luthardt, Volker Willert, Jürgen Adamy:
Generating Compact Geometric Track-Maps for Train Positioning Applications. CoRR abs/1903.05014 (2019) - [i4]Volker Willert, Martin Buczko:
Some Aspects of Geometric Computer Vision for Analysing Dynamical Scenes focusing Automotive Applications. CoRR abs/1908.06726 (2019) - 2018
- [j16]Jürgen Adamy, Volker Willert:
Autos werden zu Robotern. Autom. 66(2): 79-80 (2018) - [c52]Raul Acuna, Zaijuan Li, Volker Willert:
MOMA: Visual Mobile Marker Odometry. IPIN 2018: 206-212 - [c51]Julian Schwehr, Volker Willert:
Multi-Hypothesis Multi-Model Driver's Gaze Target Tracking. ITSC 2018: 1427-1434 - [c50]Hanno Winter, Volker Willert, Jürgen Adamy:
Increasing Accuracy in Train Localization Exploiting Track-Geometry Constraints. ITSC 2018: 1572-1579 - [c49]Zaijuan Li, Volker Willert:
Eye-to-eye Calibration for Cameras with Disjoint Fields of View. ITSC 2018: 2631-2638 - [c48]Stefan Luthardt, Volker Willert, Jürgen Adamy:
LLama-SLAM: Learning High-Quality Visual Landmarks for Long-Term Mapping and Localization. ITSC 2018: 2645-2652 - [c47]Martin Buczko, Volker Willert, Julian Schwehr, Jürgen Adamy:
Self-Validation for Automotive Visual Odometry. Intelligent Vehicles Symposium 2018: 1-6 - [c46]Zaijuan Li, Raul Acuna, Volker Willert:
Cooperative Localization by Fusing Pose Estimates from Static Environmental and Mobile Fiducial Features. LARS/SBR/WRE 2018: 65-70 - [c45]Raul Acuna, Volker Willert:
Dynamic Markers: UAV Landing Proof of Concept. LARS/SBR/WRE 2018: 496-502 - [c44]Raul Acuna, Ding Zhang, Volker Willert:
Vision-Based UAV Landing on a Moving Platform in GPS Denied Environments Using Motion Prediction. LARS/SBR/WRE 2018: 515-521 - [i3]Raul Acuna, Volker Willert:
Robustness of control point configurations for homography and planar pose estimation. CoRR abs/1803.03025 (2018) - 2017
- [j15]Jürgen Adamy, Volker Willert, Joachim Rudolph:
Ausgewählte Beiträge der GMA-Fachausschüsse 1.30 und 1.40. Autom. 65(8): 527 (2017) - [c43]Julian Schwehr, Volker Willert:
Driver's gaze prediction in dynamic automotive scenes. ITSC 2017: 1-8 - [c42]Martin Buczko, Volker Willert:
Monocular Outlier Detection for Visual Odometry. Intelligent Vehicles Symposium 2017: 739-745 - [c41]Stefan Luthardt, Chao Han, Volker Willert, Matthias Schreier:
Efficient graph-based V2V free space fusion. Intelligent Vehicles Symposium 2017: 985-992 - [i2]Raul Acuna, Zaijuan Li, Volker Willert:
MOMA: Visual Mobile Marker Odometry. CoRR abs/1704.02222 (2017) - [i1]Raul Acuna, Rosa Maria Carpio, Volker Willert:
Dynamic Markers: UAV landing proof of concept. CoRR abs/1709.04981 (2017) - 2016
- [j14]Jürgen Adamy, Volker Willert, Saman Khodaverdian, Joachim Rudolph:
Ausgewählte Beiträge der GMA-Fachausschüsse 1.30 und 1.40. Autom. 64(8): 583-585 (2016) - [j13]Volker Willert, Matthias Schnaubelt:
Die Regelung von Daten: Eine Idee zur Clusteranalyse von vernetzten Datenbeständen. Autom. 64(8): 618-632 (2016) - [j12]Matthias Schreier, Volker Willert, Jürgen Adamy:
Compact Representation of Dynamic Driving Environments for ADAS by Parametric Free Space and Dynamic Object Maps. IEEE Trans. Intell. Transp. Syst. 17(2): 367-384 (2016) - [j11]Matthias Schreier, Volker Willert, Jürgen Adamy:
An Integrated Approach to Maneuver-Based Trajectory Prediction and Criticality Assessment in Arbitrary Road Environments. IEEE Trans. Intell. Transp. Syst. 17(10): 2751-2766 (2016) - [c40]Martin Buczko, Volker Willert:
Flow-decoupled normalized reprojection error for visual odometry. ITSC 2016: 1161-1167 - [c39]Stefan Klingelschmitt, Volker Willert, Julian Eggert:
Probabilistic, discriminative maneuver estimation in generic traffic scenes using pairwise probability coupling. ITSC 2016: 1269-1276 - [c38]Martin Buczko, Volker Willert:
How to distinguish inliers from outliers in visual odometry for high-speed automotive applications. Intelligent Vehicles Symposium 2016: 478-483 - [c37]Stefan Klingelschmitt, Florian Damerow, Volker Willert, Julian Eggert:
Probabilistic situation assessment framework for multiple, interacting traffic participants in generic traffic scenes. Intelligent Vehicles Symposium 2016: 1141-1148 - 2015
- [j10]Thomas Guthier, Volker Willert, Julian Eggert:
Topological Sparse Learning of Dynamic Form Patterns. Neural Comput. 27(1): 42-73 (2015) - [c36]Lukas Klodt, Saman Khodaverdian, Volker Willert:
Motion control for UAV-UGV cooperation with visibility constraint. CCA 2015: 1379-1385 - [c35]Lukas Klodt, Volker Willert:
Equitable workload partitioning for Multi-Robot exploration through pairwise optimization. IROS 2015: 2809-2816 - 2014
- [j9]Volker Willert, Jürgen Adamy:
Andreas Kroll: Computational Intelligence: Eine Einführung in Probleme, Methoden und technische Anwendungen. Autom. 62(6): 447-448 (2014) - [c34]Thomas Guthier, Volker Willert, Julian Eggert:
Beyond histograms: why learned structure-preserving descriptors outperform HOG. ESANN 2014 - [c33]Volker Willert, A. Dominik Haumann, Stefan Gering:
Decentralized Bayesian consensus over networks. ECC 2014: 1600-1606 - [c32]Thomas Guthier, Adrian Sosic, Volker Willert, Julian Eggert:
sNN-LDS: Spatio-temporal Non-negative Sparse Coding for Human Action Recognition. ICANN 2014: 185-192 - [c31]Lukas Klodt, A. Dominik Haumann, Volker Willert:
Revisiting coverage control in nonconvex environments using visibility sets. ICRA 2014: 82-89 - [c30]Matthias Schreier, Volker Willert, Jürgen Adamy:
Grid mapping in dynamic road environments: Classification of dynamic cell hypothesis via tracking. ICRA 2014: 3995-4002 - [c29]Matthias Schreier, Volker Willert, Jürgen Adamy:
Bayesian, maneuver-based, long-term trajectory prediction and criticality assessment for driver assistance systems. ITSC 2014: 334-341 - [c28]Stefan Klingelschmitt, Matthias Platho, Horst-Michael Groß, Volker Willert, Julian Eggert:
Combining behavior and situation information for reliably estimating multiple intentions. Intelligent Vehicles Symposium 2014: 388-393 - [c27]Rodrigo do Carmo, Justus Hoffmann, Volker Willert, Matthias Hollick:
Making active-probing-based network intrusion detection in Wireless Multihop Networks practical: A Bayesian inference approach to probe selection. LCN 2014: 345-353 - [c26]Svenja Kahn, A. Dominik Haumann, Volker Willert:
Hand-eye Calibration with a Depth Camera: 2D or 3D?. VISAPP (3) 2014: 481-489 - 2013
- [j8]Volker Willert:
Maschinelles Sehen für mobile Roboter: Virtuell-aktive visuelle Odometrie. Autom. 61(4): 269-277 (2013) - [j7]Volker Willert, Stefan Gering, A. Dominik Haumann:
Bayes'sche Consensus-Regelung in dezentralen vernetzten Systemen / Bayesian Consensus Control in Decentralized Networked Systems. Autom. 61(8): 583-595 (2013) - [c25]Arne Wahrburg, A. Dominik Haumann, Volker Willert:
Minimum-variance fault isolation observers for discrete-time linear systems. CDC 2013: 5643-5649 - [c24]Thomas Guthier, Steve Gerges, Volker Willert, Julian Eggert:
Learning associative spatiotemporal features with non-negative sparse coding. ESANN 2013 - [c23]Thomas Guthier, Volker Willert, Andrea Schnall, Karel Kreuter, Julian Eggert:
Non-negative sparse coding for motion extraction. IJCNN 2013: 1-8 - [c22]Matthias Schreier, Volker Willert, Jürgen Adamy:
From grid maps to Parametric Free Space maps - A highly compact, generic environment representation for ADAS. Intelligent Vehicles Symposium 2013: 938-944 - 2012
- [j6]Eric Bauer, Felix Lotz, Matthias Pfromm, Matthias Schreier, Bettina Abendroth, Stephan Cieler, Alfred Eckert, Andree Hohm, Stefan Lüke, Peter Rieth, Volker Willert, Jürgen Adamy:
PRORETA 3: An Integrated Approach to Collision Avoidance and Vehicle Automation. Autom. 60(12): 755-765 (2012) - [c21]A. Dominik Haumann, Volker Willert, Arne Wahrburg:
Kalman filtering in mobile consensus networks. ISIC 2012: 944-950 - [c20]Thomas Guthier, Julian Eggert, Volker Willert:
Unsupervised learning of motion patterns. ESANN 2012 - [c19]Matthias Schreier, Volker Willert:
Robust free space detection in occupancy grid maps by methods of image analysis and dynamic B-spline contour tracking. ITSC 2012: 514-521 - [c18]A. Dominik Haumann, Maximilian Löffler, Volker Willert:
Distributed kalman filtering for noisy consensus networks with time delays. MASS Workshops 2012: 1-6 - [c17]Thomas Guthier, Adrian Sosic, Volker Willert, Julian Eggert:
Finding a Tradeoff between Compression and Loss in Motion Compensated Video Coding. SIGMAP 2012: 81-84 - 2011
- [j5]Volker Willert, Julian Eggert:
Modeling short-term adaptation processes of visual motion detectors. Neurocomputing 74(9): 1329-1339 (2011) - [c16]A. Dominik Haumann, Andreas Breitenmoser, Volker Willert, Kim D. Listmann, Roland Siegwart:
DisCoverage for non-convex environments with arbitrary obstacles. ICRA 2011: 4486-4491 - 2010
- [c15]Volker Willert, Julian Eggert:
Adaptive velocity tuning for visual motion estimation. ESANN 2010 - [c14]Julian Eggert, Joerg Deigmoeller, Volker Willert:
Layered Motion Segmentation with a Competitive Recurrent Network. ICANN (2) 2010: 124-133 - [c13]A. Dominik Haumann, Kim D. Listmann, Volker Willert:
DisCoverage: A new paradigm for multi-robot exploration. ICRA 2010: 929-934 - [c12]Sebastian Frank, Kim D. Listmann, A. Dominik Haumann, Volker Willert:
Performance Analysis for Multi-robot Exploration Strategies. SIMPAR 2010: 399-410 - [c11]Volker Willert, Julian Eggert:
Belief Propagation in Spatiotemporal Graph Topologies for the Analysis of Image Sequences. VISAPP (2) 2010: 117-124 - [c10]Nils Einecke, Sven Rebhan, Julian Eggert, Volker Willert:
Direct Surface Fitting. VISAPP (2) 2010: 125-133
2000 – 2009
- 2009
- [c9]Volker Willert, Julian Eggert:
A stochastic dynamical system for optical flow estimation. ICCV Workshops 2009: 711-718 - 2008
- [j4]Jens Schmüdderich, Volker Willert, Julian Eggert, Sven Rebhan, Christian Goerick, Gerhard Sagerer, Edgar Körner:
Estimating Object Proper Motion Using Optical Flow, Kinematics, and Depth Information. IEEE Trans. Syst. Man Cybern. Part B 38(4): 1139-1151 (2008) - [c8]Volker Willert, Jens Schmüdderich, Julian Eggert:
Probabilistic Optical Flow Estimation for Large Pixel Displacements Utilizing Egomotion Flow Compensation. BMVC 2008: 1-10 - [c7]Daniel Weiler, Volker Willert, Julian Eggert:
A Probabilistic Prediction Method for Object Contour Tracking. ICANN (1) 2008: 1011-1020 - [c6]Volker Willert, Julian Eggert, Marc Toussaint, Edgar Körner:
Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint. ICMLA 2008: 259-266 - [c5]Chen Zhang, Volker Willert, Julian Eggert:
Tracking with Depth-from-Size. ICONIP (1) 2008: 275-284 - 2007
- [j3]Volker Willert:
Rekurrente visuelle Bewegungssegmentierung. Autom. 55(1): 43 (2007) - [c4]Volker Willert, Marc Toussaint, Julian Eggert, Edgar Körner:
Uncertainty optimization for robust dynamic optical flow estimation. ICMLA 2007: 450-457 - [c3]Daniel Weiler, Volker Willert, Julian Eggert, Edgar Körner:
A Probabilistic Method for Motion Pattern Segmentation. IJCNN 2007: 1645-1650 - 2006
- [b1]Volker Willert:
Rekurrente visuelle Bewegungssegmentierung. Darmstadt University of Technology, 2006, ISBN 3-18-510108-1, pp. 1-154 - [j2]Volker Willert, Julian Eggert, Jürgen Adamy, Edgar Körner:
Non-Gaussian velocity distributions integrated over space, time, and scales. IEEE Trans. Syst. Man Cybern. Part B 36(3): 482-493 (2006) - [j1]Volker Willert, Julian Eggert, Jürgen Adamy, Raphael Stahl, Edgar Körner:
A Probabilistic Model for Binaural Sound Localization. IEEE Trans. Syst. Man Cybern. Part B 36(5): 982-994 (2006) - 2005
- [c2]Volker Willert, Julian Eggert, Sebastian Clever, Edgar Körner:
Probabilistic Color Optical Flow. DAGM-Symposium 2005: 9-16 - 2004
- [c1]Julian Eggert, Volker Willert, Edgar Körner:
Building a Motion Resolution Pyramid by Combining Velocity Distributions. DAGM-Symposium 2004: 310-317
Coauthor Index
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