Konrad Doll - RankMe

69 papers A* 2A 1B 8C 5Misc 1Journal 23Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DD-MDN: Human Trajectory Forecasting with Diffusion-Based Dual Mixture Density Networks and Uncertainty Self-Calibration. CoRR Manuel Hetzel, Kerim Turacan, Hannes Reichert, Konrad Doll, Bernhard Sick
2025	C	`conf`	Adaptive Contrastive Learning for Understanding Procedural Activities. ICMLA Chenxi Guo, Andreas Hubert, Konrad Doll
2025	—	`conf`	LiDAR Based Semantic Perception for Forklifts in Outdoor Environments. SOLI Benjamin Serfling, Hannes Reichert, Lorenzo Bayerlein, Konrad Doll, Kati Radkhah-Lens
2025	J	`jnl`	LiDAR Based Semantic Perception for Forklifts in Outdoor Environments. CoRR Benjamin Serfling, Hannes Reichert, Lorenzo Bayerlein, Konrad Doll, Kati Radkhah-Lens
2025	—	`conf`	Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans. ITSC Hannes Reichert, Benjamin Serfling, Elijah Schüssler, Kerim Turacan, Konrad Doll, Bernhard Sick
2025	J	`jnl`	Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans. CoRR Hannes Reichert, Benjamin Serfling, Elijah Schüssler, Kerim Turacan, Konrad Doll, Bernhard Sick
2024	—	`conf`	Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications. ECCV Workshops (17) Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick
2024	J	`jnl`	Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications. CoRR Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick
2024	—	`conf`	Sensor Equivariance: A Framework for Semantic Segmentation with Diverse Camera Models. CVPR Workshops Hannes Reichert, Manuel Hetzel, Andreas Hubert, Konrad Doll, Bernhard Sick
2023	—	`conf`	Exploiting Self-Imposed Constraints on RGB and LiDAR for Unsupervised Training. ICMVA Andreas Hubert, Janis Jung, Konrad Doll
2023	—	`conf`	Height Change Feature Based Free Space Detection. ICCMA Steven Schreck, Hannes Reichert, Manuel Hetzel, Konrad Doll, Bernhard Sick
2023	J	`jnl`	Height Change Feature Based Free Space Detection. CoRR Steven Schreck, Hannes Reichert, Manuel Hetzel, Konrad Doll, Bernhard Sick
2023	J	`jnl`	Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories. IEEE Trans. Intell. Veh. Viktor Kress, Fabian Jeske, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2023	C	`conf`	Sensor Equivariance by LiDAR Projection Images. IV Hannes Reichert, Manuel Hetzel, Steven Schreck, Konrad Doll, Bernhard Sick
2023	J	`jnl`	Sensor Equivariance by LiDAR Projection Images. CoRR Hannes Reichert, Manuel Hetzel, Steven Schreck, Konrad Doll, Bernhard Sick
2023	J	`jnl`	Smart Infrastructure: A Research Junction. CoRR Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick
2023	C	`conf`	The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset. IV Manuel Hetzel, Hannes Reichert, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick
2023	J	`jnl`	The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset. CoRR Manuel Hetzel, Hannes Reichert, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick
2022	C	`conf`	A Holistic View on Probabilistic Trajectory Forecasting - Case Study. Cyclist Intention Detection. IV Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick
2021	J	`jnl`	Cyclist Intention Detection: A Probabilistic Approach. CoRR Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick
2021	—	`conf`	Cyclist Motion State Forecasting - Going beyond Detection. SSCI Maarten Bieshaar, Stefan Zernetsch, Katharina Riepe, Konrad Doll, Bernhard Sick
2021	—	`conf`	Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. ISC2 Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick
2021	J	`jnl`	Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. CoRR Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick
2021	J	`jnl`	Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories. CoRR Viktor Kress, Fabian Jeske, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2021	—	`conf`	Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists. IV Workshops Jan Schneegans, Jan Eilbrecht, Stefan Zernetsch, Maarten Bieshaar, Konrad Doll, Olaf Stursberg, Bernhard Sick
2021	—	`conf`	Smart Infrastructure: A Research Junction. ISC2 Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick
2021	—	`conf`	Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. ISC2 Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner
2021	J	`jnl`	Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. CoRR Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner
2020	B	`conf`	Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution. ICPR Stefan Zernetsch, Steven Schreck, Viktor Kress, Konrad Doll, Bernhard Sick
2020	J	`jnl`	Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning. IEEE Trans. Intell. Transp. Syst. Michael Goldhammer, Sebastian Köhler, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Klaus Dietmayer
2020	—	`conf`	Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks. SSCI Viktor Kress, Steven Schreck, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2020	—	`conf`	Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks. ICPR Workshops (1) Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2019	—	`conf`	Pose Based Start Intention Detection of Cyclists. ITSC Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2019	—	`conf`	Pose Based Trajectory Forecast of Vulnerable Road Users. SSCI Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2019	—	`conf`	Start Intention Detection of Cyclists using an LSTM Network. GI-Jahrestagung (Workshops) Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2019	C	`conf`	Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks. IV Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick
2018	J	`jnl`	Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble. CoRR Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, Bernhard Sick, Konrad Doll
2018	J	`jnl`	Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble. IEEE Trans. Intell. Veh. Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, Bernhard Sick, Konrad Doll
2018	—	`conf`	Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. ITSC Günther Reitberger, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Erich Fuchs
2018	J	`jnl`	Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. CoRR Günther Reitberger, Stefan Zernetsch, Maarten Bieshaar, Bernhard Sick, Konrad Doll, Erich Fuchs
2018	J	`jnl`	Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence. CoRR Maarten Bieshaar, Günther Reitberger, Stefan Zernetsch, Bernhard Sick, Erich Fuchs, Konrad Doll
2018	B	`conf`	Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network. Intelligent Vehicles Symposium Stefan Zernetsch, Viktor Kress, Bernhard Sick, Konrad Doll
2018	J	`jnl`	Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network. CoRR Stefan Zernetsch, Viktor Kress, Bernhard Sick, Konrad Doll
2018	J	`jnl`	Highly Automated Learning for Improved Active Safety of Vulnerable Road Users. CoRR Maarten Bieshaar, Günther Reitberger, Viktor Kreß, Stefan Zernetsch, Konrad Doll, Erich Fuchs, Bernhard Sick
2018	—	`conf`	Human Pose Estimation in Real Traffic Scenes. SSCI Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2018	J	`jnl`	Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning. CoRR Michael Goldhammer, Sebastian Köhler, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Klaus Dietmayer
2017	—	`conf`	Cooperative starting intention detection of cyclists based on smart devices and infrastructure. ITSC Maarten Bieshaar, Stefan Zernetsch, Malte Depping, Bernhard Sick, Konrad Doll
2017	B	`conf`	Cyclists' starting behavior at intersections. Intelligent Vehicles Symposium Andreas Hubert, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2017	—	`conf`	Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks. SSCI Jan Eilbrecht, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Olaf Stursberg
2016	B	`conf`	Trajectory prediction of cyclists using a physical model and an artificial neural network. Intelligent Vehicles Symposium Stefan Zernetsch, Sascha Kohnen, Michael Goldhammer, Konrad Doll, Bernhard Sick
2015	Misc	`conf`	New control scheme for a lane-keeping evasive maneuver exploiting the free space optimally. MMAR Stefan Hahn, Klaus Zindler, Konrad Doll, Ulrich Jumar
2015	—	`conf`	Stereo-Vision-Based Pedestrian's Intention Detection in a Moving Vehicle. ITSC Sebastian Köhler, Michael Goldhammer, Klaus Zindler, Konrad Doll, Klaus Dietmayer
2014	—	`conf`	Analysis on termination of pedestrians' gait at urban intersections. ITSC Michael Goldhammer, Andreas Hubert, Sebastian Köhler, Klaus Zindler, Ulrich Brunsmann, Konrad Doll, Bernhard Sick
2014	B	`conf`	Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks. ICPR Michael Goldhammer, Konrad Doll, Ulrich Brunsmann, Andre Gensler, Bernhard Sick
2014	—	`conf`	Real-time ego-motion estimation using Lidar and a vehicle model based Extended Kalman Filter. ITSC Klaus Zindler, Niklas Geiß, Konrad Doll, Sven Heinlein
2013	B	`conf`	Autonomous evasive maneuvers triggered by infrastructure-based detection of pedestrian intentions. Intelligent Vehicles Symposium Sebastian Köhler, Brian Schreiner, Steffen Ronalter, Konrad Doll, Ulrich Brunsmann, Klaus Zindler
2013	—	`conf`	Early prediction of a pedestrian's trajectory at intersections. ITSC Michael Goldhammer, Matthias Gerhard, Stefan Zernetsch, Konrad Doll, Ulrich Brunsmann
2013	—	`conf`	FPGA-Based Real-Time Pedestrian Detection on High-Resolution Images. CVPR Workshops Michael Hahnle, Frerk Saxen, Matthias Hisung, Ulrich Brunsmann, Konrad Doll
2013	J	`jnl`	Stationary Detection of the Pedestrian?s Intention at Intersections. IEEE Intell. Transp. Syst. Mag. Sebastian Köhler, Michael Goldhammer, Sebastian Bauer, Stephan Zecha, Konrad Doll, Ulrich Brunsmann, Klaus Dietmayer
2012	—	`conf`	Cooperative multi sensor network for traffic safety applications at intersections. ITSC Michael Goldhammer, Elias Strigel, Daniel Alexander Meissner, Ulrich Brunsmann, Konrad Doll, Klaus Dietmayer
2012	—	`conf`	Early detection of the Pedestrian's intention to cross the street. ITSC Sebastian Köhler, Michael Goldhammer, Sebastian Bauer, Konrad Doll, Ulrich Brunsmann, Klaus Dietmayer
2012	B	`conf`	Transponder- and Camera-based advanced driver assistance system. Intelligent Vehicles Symposium Daniel Westhofen, Carolin Grundler, Konrad Doll, Ulrich Brunsmann, Stephan Zecha
2011	B	`conf`	Gpu architecture for stationary multisensor pedestrian detection at smart intersections. Intelligent Vehicles Symposium Daniel Weimer, Sebastian Köhler, Christian Hellert, Konrad Doll, Ulrich Brunsmann, Roland Krzikalla
2010	—	`conf`	FPGA-GPU architecture for kernel SVM pedestrian detection. CVPR Workshops Sebastian Bauer, Sebastian Köhler, Konrad Doll, Ulrich Brunsmann
1994	J	`jnl`	Iterative placement improvement by network flow methods. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Konrad Doll, Frank M. Johannes, Kurt Antreich
1994	A*	`conf`	Partitioning Very Large Circuits Using Analytical Placement Techniques. DAC Bernhard M. Riess, Konrad Doll, Frank M. Johannes
1992	A	`conf`	Accurate net models for placement improvement by network flow methods. ICCAD Konrad Doll, Frank M. Johannes, Georg Sigl
1991	A*	`conf`	Analytical Placement: A Linear or a Quadratic Objective Function? DAC Georg Sigl, Konrad Doll, Frank M. Johannes
1991	—	`conf`	DOMINO: Deterministic Placement Improvement with Hill-Climbing Capabilities. VLSI Konrad Doll, Frank M. Johannes, Georg Sigl