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Gabi Breuel
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Journal Articles
- 2012
- [j1]Dietmar Kasper, Galia Weidl, Thao Dang, Gabi Breuel, Andreas Tamke, Andreas Wedel, Wolfgang Rosenstiel:
Object-Oriented Bayesian Networks for Detection of Lane Change Maneuvers. IEEE Intell. Transp. Syst. Mag. 4(3): 19-31 (2012)
Conference and Workshop Papers
- 2020
- [c20]Lucas Eiermann, Florian Wirthmüller, Kay Massow, Gabi Breuel, Ilja Radusch:
Driver Assistance for Safe and Comfortable On-Ramp Merging Using Environment Models Extended through V2X Communication and Role-Based Behavior Predictions. ICCP 2020: 263-270 - [c19]Lucas Eiermann, Nick Bührer, Gabi Breuel, Ilja Radusch, Manfred Hauswirth:
Trajectory Based Motion Planning for On-Ramp Merging-Situations Considering Extended Evaluation Criteria. ICCP 2020: 299-306 - [c18]Lucas Eiermann, Oliver Sawade, Sebastian Bunk, Gabi Breuel, Ilja Radusch:
Cooperative automated lane merge with role-based negotiation. IV 2020: 495-501 - 2019
- [c17]Vasundhara Jain, Uli Kolbe, Gabi Breuel, Christoph Stiller:
Reacting to Multi-Obstacle Emergency Scenarios Using Linear Time Varying Model Predictive Control. IV 2019: 1822-1829 - 2015
- [c16]Galia Weidl, Anders L. Madsen, Viacheslav Tereshchenko, Dietmar Kasper, Gabi Breuel:
Early Recognition of Maneuvers in Highway Traffic. ECSQARU 2015: 529-540 - [c15]Julian Schlechtriemen, Florian Wirthmueller, Andreas Wedel, Gabi Breuel, Klaus-Dieter Kuhnert:
When will it change the lane? A probabilistic regression approach for rarely occurring events. Intelligent Vehicles Symposium 2015: 1373-1379 - 2014
- [c14]Galia Weidl, Anders L. Madsen, Dietmar Kasper, Gabi Breuel:
Optimizing Bayesian networks for recognition of driving maneuvers to meet the automotive requirements. ISIC 2014: 1626-1631 - [c13]Julian Schlechtriemen, Andreas Wedel, Gabi Breuel, Klaus-Dieter Kuhnert:
A probabilistic long term prediction approach for highway scenarios. ITSC 2014: 732-738 - [c12]Dominik Petrich, Thao Dang, Gabi Breuel, Christoph Stiller:
Assessing map-based maneuver hypotheses using probabilistic methods and evidence theory. ITSC 2014: 995-1002 - [c11]Julian Schlechtriemen, Andreas Wedel, Jörg Hillenbrand, Gabi Breuel, Klaus-Dieter Kuhnert:
A lane change detection approach using feature ranking with maximized predictive power. Intelligent Vehicles Symposium 2014: 108-114 - [c10]Florian Seeliger, Galia Weidl, Dominik Petrich, Frederik Naujoks, Gabi Breuel, Alexandra Neukum, Klaus Dietmayer:
Advisory warnings based on cooperative perception. Intelligent Vehicles Symposium 2014: 246-252 - 2013
- [c9]Galia Weidl, Gabi Breuel, Virat Singhal:
Collision risk prediction and warning at road intersections using an object oriented Bayesian network. AutomotiveUI 2013: 270-277 - [c8]Dominik Petrich, Thao Dang, Dietmar Kasper, Gabi Breuel, Christoph Stiller:
Map-based long term motion prediction for vehicles in traffic environments. ITSC 2013: 2166-2172 - 2012
- [c7]Adam Berthelot, Andreas Tamke, Thao Dang, Gabi Breuel:
Stochastic situation assessment in advanced driver assistance system for complex multi-objects traffic situations. IROS 2012: 1180-1185 - [c6]Adam Berthelot, Andreas Tamke, Thao Dang, Gabi Breuel:
A novel approach for the probabilistic computation of Time-To-Collision. Intelligent Vehicles Symposium 2012: 1173-1178 - 2011
- [c5]Adam Berthelot, Andreas Tamke, Thao Dang, Gabi Breuel:
Handling uncertainties in criticality assessment. Intelligent Vehicles Symposium 2011: 571-576 - [c4]Dietmar Kasper, Galia Weidl, Thao Dang, Gabi Breuel, Andreas Tamke, Wolfgang Rosenstiel:
Object-oriented Bayesian networks for detection of lane change maneuvers. Intelligent Vehicles Symposium 2011: 673-678 - [c3]Andreas Tamke, Thao Dang, Gabi Breuel:
A flexible method for criticality assessment in driver assistance systems. Intelligent Vehicles Symposium 2011: 697-702 - 2010
- [c2]Till Hülnhagen, Ingo Dengler, Andreas Tamke, Thao Dang, Gabi Breuel:
Maneuver recognition using probabilistic finite-state machines and fuzzy logic. Intelligent Vehicles Symposium 2010: 65-70 - 2002
- [c1]Ismail Dagli, Michael Brost, Gabi Breuel:
Action Recognition and Prediction for Driver Assistance Systems Using Dynamic Belief Networks. Agent Technologies, Infrastructures, Tools, and Applications for E-Services 2002: 179-194
Informal and Other Publications
- 2020
- [i1]Lucas Eiermann, Florian Wirthmüller, Kay Massow, Gabi Breuel, Ilja Radusch:
Driver Assistance for Safe and Comfortable On-Ramp Merging Using Environment Models Extended through V2X Communication and Role-Based Behavior Predictions. CoRR abs/2008.04707 (2020)
Coauthor Index
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