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2020 – today
- 2024
[c42]Hannes Reichert, Manuel Hetzel, Andreas Hubert, Konrad Doll, Bernhard Sick:
Sensor Equivariance: A Framework for Semantic Segmentation with Diverse Camera Models. CVPR Workshops 2024: 1254-1261- 2023
- [j5]Viktor Kress
, Fabian Jeske, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories. IEEE Trans. Intell. Veh. 8(3): 2592-2603 (2023) - [c41]Steven Schreck, Hannes Reichert, Manuel Hetzel, Konrad Doll, Bernhard Sick:
Height Change Feature Based Free Space Detection. ICCMA 2023: 171-176 - [c40]Andreas Hubert, Janis Jung, Konrad Doll:
Exploiting Self-Imposed Constraints on RGB and LiDAR for Unsupervised Training. ICMVA 2023 - [c39]Manuel Hetzel, Hannes Reichert, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick:
The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset. IV 2023: 1-7 - [c38]Hannes Reichert, Manuel Hetzel, Steven Schreck, Konrad Doll, Bernhard Sick:
Sensor Equivariance by LiDAR Projection Images. IV 2023: 1-6 - [i14]Hannes Reichert, Manuel Hetzel, Steven Schreck, Konrad Doll, Bernhard Sick:
Sensor Equivariance by LiDAR Projection Images. CoRR abs/2305.00221 (2023) - [i13]Manuel Hetzel, Hannes Reichert, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick:
The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset. CoRR abs/2307.06165 (2023) - [i12]Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick:
Smart Infrastructure: A Research Junction. CoRR abs/2307.06177 (2023) - [i11]Steven Schreck, Hannes Reichert, Manuel Hetzel, Konrad Doll, Bernhard Sick:
Height Change Feature Based Free Space Detection. CoRR abs/2308.00971 (2023) - 2022
- [c37]Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick:
A Holistic View on Probabilistic Trajectory Forecasting - Case Study. Cyclist Intention Detection. IV 2022: 265-272 - 2021
- [c36]Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick:
Smart Infrastructure: A Research Junction. ISC2 2021: 1-4 - [c35]Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner:
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. ISC2 2021: 1-4 - [c34]Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick:
Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. ISC2 2021: 1-7 - [c33]Jan Schneegans, Jan Eilbrecht, Stefan Zernetsch, Maarten Bieshaar, Konrad Doll, Olaf Stursberg, Bernhard Sick:
Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists. IV Workshops 2021: 272-279 - [c32]Maarten Bieshaar, Stefan Zernetsch, Katharina Riepe, Konrad Doll, Bernhard Sick:
Cyclist Motion State Forecasting - Going beyond Detection. SSCI 2021: 1-8 - [d2]Viktor Kress, Stefan Zernetsch, Maarten Bieshaar, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick:
Pedestrians and Cyclists in Road Traffic: Trajectories, 3D Poses and Semantic Maps. Zenodo, 2021
- [d1]Viktor Kress, Stefan Zernetsch, Hannes Reichert, Manuel Hetzel, Maarten Bieshaar, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick:
Aschaffenburg Pose Dataset. Zenodo, 2021 - [i10]Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick:
Cyclist Intention Detection: A Probabilistic Approach. CoRR abs/2104.09176 (2021) - [i9]Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner:
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. CoRR abs/2105.06896 (2021) - [i8]Viktor Kress, Fabian Jeske, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories. CoRR abs/2106.02598 (2021) - [i7]Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick:
Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. CoRR abs/2106.15991 (2021) - 2020
- [j4]Michael Goldhammer, Sebastian Köhler, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Klaus Dietmayer:
Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning. IEEE Trans. Intell. Transp. Syst. 21(7): 3035-3045 (2020) - [c31]Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks. ICPR Workshops (1) 2020: 57-71 - [c30]Stefan Zernetsch, Steven Schreck, Viktor Kress, Konrad Doll, Bernhard Sick:
Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution. ICPR 2020: 2620-2626 - [c29]Viktor Kress, Steven Schreck, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks. SSCI 2020: 2723-2730
2010 – 2019
- 2019
- [c28]Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Start Intention Detection of Cyclists using an LSTM Network. GI-Jahrestagung (Workshops) 2019: 219-228 - [c27]Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Pose Based Start Intention Detection of Cyclists. ITSC 2019: 2381-2386 - [c26]Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick:
Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks. IV 2019: 810-815 - [c25]Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Pose Based Trajectory Forecast of Vulnerable Road Users. SSCI 2019: 1200-1207 - 2018
- [j3]Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, Bernhard Sick, Konrad Doll:
Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble. IEEE Trans. Intell. Veh. 3(4): 534-544 (2018) - [c24]Günther Reitberger, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Erich Fuchs:
Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. ITSC 2018: 436-443 - [c23]Stefan Zernetsch, Viktor Kress, Bernhard Sick, Konrad Doll:
Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network. Intelligent Vehicles Symposium 2018: 1-6 - [c22]Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Human Pose Estimation in Real Traffic Scenes. SSCI 2018: 518-523 - [i6]Günther Reitberger, Stefan Zernetsch, Maarten Bieshaar, Bernhard Sick, Konrad Doll, Erich Fuchs:
Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. CoRR abs/1803.02096 (2018) - [i5]Stefan Zernetsch, Viktor Kress, Bernhard Sick, Konrad Doll:
Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network. CoRR abs/1803.02242 (2018) - [i4]Maarten Bieshaar, Günther Reitberger, Viktor Kreß, Stefan Zernetsch, Konrad Doll, Erich Fuchs, Bernhard Sick:
Highly Automated Learning for Improved Active Safety of Vulnerable Road Users. CoRR abs/1803.03479 (2018) - [i3]Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, Bernhard Sick, Konrad Doll:
Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble. CoRR abs/1803.03487 (2018) - [i2]Michael Goldhammer, Sebastian Köhler, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Klaus Dietmayer:
Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning. CoRR abs/1803.03577 (2018) - [i1]Maarten Bieshaar, Günther Reitberger, Stefan Zernetsch, Bernhard Sick, Erich Fuchs, Konrad Doll:
Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence. CoRR abs/1809.03916 (2018) - 2017
- [c21]Maarten Bieshaar, Stefan Zernetsch, Malte Depping, Bernhard Sick, Konrad Doll:
Cooperative starting intention detection of cyclists based on smart devices and infrastructure. ITSC 2017: 1-8 - [c20]Andreas Hubert, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Cyclists' starting behavior at intersections. Intelligent Vehicles Symposium 2017: 1071-1077 - [c19]Jan Eilbrecht, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Olaf Stursberg:
Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks. SSCI 2017: 1-8 - 2016
- [c18]Stefan Zernetsch, Sascha Kohnen, Michael Goldhammer, Konrad Doll, Bernhard Sick:
Trajectory prediction of cyclists using a physical model and an artificial neural network. Intelligent Vehicles Symposium 2016: 833-838 - 2015
- [c17]Sebastian Köhler, Michael Goldhammer, Klaus Zindler, Konrad Doll, Klaus Dietmayer:
Stereo-Vision-Based Pedestrian's Intention Detection in a Moving Vehicle. ITSC 2015: 2317-2322 - [c16]Stefan Hahn, Klaus Zindler, Konrad Doll, Ulrich Jumar:
New control scheme for a lane-keeping evasive maneuver exploiting the free space optimally. MMAR 2015: 856-861 - 2014
- [c15]Michael Goldhammer, Konrad Doll, Ulrich Brunsmann, Andre Gensler, Bernhard Sick:
Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks. ICPR 2014: 4110-4115 - [c14]Klaus Zindler, Niklas Geiß, Konrad Doll, Sven Heinlein:
Real-time ego-motion estimation using Lidar and a vehicle model based Extended Kalman Filter. ITSC 2014: 431-438 - [c13]Michael Goldhammer, Andreas Hubert, Sebastian Köhler, Klaus Zindler, Ulrich Brunsmann, Konrad Doll, Bernhard Sick:
Analysis on termination of pedestrians' gait at urban intersections. ITSC 2014: 1758-1763 - 2013
- [j2]Sebastian Köhler, Michael Goldhammer, Sebastian Bauer, Stephan Zecha, Konrad Doll, Ulrich Brunsmann, Klaus Dietmayer:
Stationary Detection of the Pedestrian?s Intention at Intersections. IEEE Intell. Transp. Syst. Mag. 5(4): 87-99 (2013) - [c12]Michael Hahnle, Frerk Saxen, Matthias Hisung, Ulrich Brunsmann, Konrad Doll:
FPGA-Based Real-Time Pedestrian Detection on High-Resolution Images. CVPR Workshops 2013: 629-635 - [c11]Michael Goldhammer, Matthias Gerhard, Stefan Zernetsch, Konrad Doll, Ulrich Brunsmann:
Early prediction of a pedestrian's trajectory at intersections. ITSC 2013: 237-242 - [c10]Sebastian Köhler, Brian Schreiner, Steffen Ronalter, Konrad Doll, Ulrich Brunsmann, Klaus Zindler:
Autonomous evasive maneuvers triggered by infrastructure-based detection of pedestrian intentions. Intelligent Vehicles Symposium 2013: 519-526 - 2012
- [c9]Michael Goldhammer, Elias Strigel, Daniel Alexander Meissner, Ulrich Brunsmann, Konrad Doll, Klaus Dietmayer:
Cooperative multi sensor network for traffic safety applications at intersections. ITSC 2012: 1178-1183 - [c8]Sebastian Köhler, Michael Goldhammer, Sebastian Bauer, Konrad Doll, Ulrich Brunsmann, Klaus Dietmayer:
Early detection of the Pedestrian's intention to cross the street. ITSC 2012: 1759-1764 - [c7]Daniel Westhofen, Carolin Grundler, Konrad Doll, Ulrich Brunsmann, Stephan Zecha:
Transponder- and Camera-based advanced driver assistance system. Intelligent Vehicles Symposium 2012: 293-298 - 2011
- [c6]Daniel Weimer, Sebastian Köhler, Christian Hellert, Konrad Doll, Ulrich Brunsmann, Roland Krzikalla:
Gpu architecture for stationary multisensor pedestrian detection at smart intersections. Intelligent Vehicles Symposium 2011: 89-94 - 2010
- [c5]Sebastian Bauer, Sebastian Köhler, Konrad Doll, Ulrich Brunsmann:
FPGA-GPU architecture for kernel SVM pedestrian detection. CVPR Workshops 2010: 61-68
1990 – 1999
- 1994
- [j1]Konrad Doll, Frank M. Johannes, Kurt Antreich:
Iterative placement improvement by network flow methods. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 13(10): 1189-1200 (1994) - [c4]Bernhard M. Riess, Konrad Doll, Frank M. Johannes:
Partitioning Very Large Circuits Using Analytical Placement Techniques. DAC 1994: 646-651 - 1992
- [c3]Konrad Doll, Frank M. Johannes, Georg Sigl:
Accurate net models for placement improvement by network flow methods. ICCAD 1992: 594-597 - 1991
- [c2]Georg Sigl, Konrad Doll, Frank M. Johannes:
Analytical Placement: A Linear or a Quadratic Objective Function? DAC 1991: 427-432 - [c1]Konrad Doll, Frank M. Johannes, Georg Sigl:
DOMINO: Deterministic Placement Improvement with Hill-Climbing Capabilities. VLSI 1991: 91-100
Coauthor Index
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