Konrad Doll

Publication Activity (10 Years)

Years Active: 1991-2023
Publications (10 Years): 41

Top Topics

Pose Estimation

Top Venues

Publications

Hannes Reichert, Manuel Hetzel, Steven Schreck, Konrad Doll, Bernhard Sick
Sensor Equivariance by LiDAR Projection Images. IV (2023)
Steven Schreck, Hannes Reichert, Manuel Hetzel, Konrad Doll, Bernhard Sick
Height Change Feature Based Free Space Detection. CoRR (2023)
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)
Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick
Smart Infrastructure: A Research Junction. CoRR (2023)
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) (2023)
Steven Schreck, Hannes Reichert, Manuel Hetzel, Konrad Doll, Bernhard Sick
Height Change Feature Based Free Space Detection. ICCMA (2023)
Andreas Hubert, Janis Jung, Konrad Doll
Exploiting Self-Imposed Constraints on RGB and LiDAR for Unsupervised Training. ICMVA (2023)
Hannes Reichert, Manuel Hetzel, Steven Schreck, Konrad Doll, Bernhard Sick
Sensor Equivariance by LiDAR Projection Images. CoRR (2023)
Manuel Hetzel, Hannes Reichert, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick
The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset. CoRR (2023)
Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick
A Holistic View on Probabilistic Trajectory Forecasting - Case Study. Cyclist Intention Detection. IV (2022)
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)
Maarten Bieshaar, Stefan Zernetsch, Katharina Riepe, Konrad Doll, Bernhard Sick
Cyclist Motion State Forecasting - Going beyond Detection. SSCI (2021)
Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick
Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. ISC2 (2021)
Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick
Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. CoRR (2021)
Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick
Smart Infrastructure: A Research Junction. ISC2 (2021)
Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick
Cyclist Intention Detection: A Probabilistic Approach. CoRR (2021)
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)
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 (2021)
Viktor Kress, Fabian Jeske, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories. CoRR (2021)
Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks. ICPR Workshops (1) (2020)
Stefan Zernetsch, Steven Schreck, Viktor Kress, Konrad Doll, Bernhard Sick
Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution. ICPR (2020)
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) (2020)
Viktor Kress, Steven Schreck, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks. SSCI (2020)
Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Pose Based Trajectory Forecast of Vulnerable Road Users. SSCI (2019)
Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Start Intention Detection of Cyclists using an LSTM Network. GI-Jahrestagung (Workshops) (2019)
Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Pose Based Start Intention Detection of Cyclists. ITSC (2019)
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)
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 (2018)
Günther Reitberger, Stefan Zernetsch, Maarten Bieshaar, Bernhard Sick, Konrad Doll, Erich Fuchs
Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. CoRR (2018)
Stefan Zernetsch, Viktor Kress, Bernhard Sick, Konrad Doll
Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network. CoRR (2018)
Günther Reitberger, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Erich Fuchs
Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. ITSC (2018)
Maarten Bieshaar, Günther Reitberger, Stefan Zernetsch, Bernhard Sick, Erich Fuchs, Konrad Doll
Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence. CoRR (2018)
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 (2018)
Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Human Pose Estimation in Real Traffic Scenes. SSCI (2018)
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) (2018)
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)
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 (2018)
Andreas Hubert, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Cyclists' starting behavior at intersections. Intelligent Vehicles Symposium (2017)
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)
Maarten Bieshaar, Stefan Zernetsch, Malte Depping, Bernhard Sick, Konrad Doll
Cooperative starting intention detection of cyclists based on smart devices and infrastructure. ITSC (2017)
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)
Sebastian Köhler, Michael Goldhammer, Klaus Zindler, Konrad Doll, Klaus Dietmayer
Stereo-Vision-Based Pedestrian's Intention Detection in a Moving Vehicle. ITSC (2015)
Stefan Hahn, Klaus Zindler, Konrad Doll, Ulrich Jumar
New control scheme for a lane-keeping evasive maneuver exploiting the free space optimally. MMAR (2015)
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)
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)
Michael Goldhammer, Konrad Doll, Ulrich Brunsmann, Andre Gensler, Bernhard Sick
Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks. ICPR (2014)
Michael Hahnle, Frerk Saxen, Matthias Hisung, Ulrich Brunsmann, Konrad Doll
FPGA-Based Real-Time Pedestrian Detection on High-Resolution Images. CVPR Workshops (2013)
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) (2013)
Michael Goldhammer, Matthias Gerhard, Stefan Zernetsch, Konrad Doll, Ulrich Brunsmann
Early prediction of a pedestrian's trajectory at intersections. ITSC (2013)
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)
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)
Daniel Westhofen, Carolin Grundler, Konrad Doll, Ulrich Brunsmann, Stephan Zecha
Transponder- and Camera-based advanced driver assistance system. Intelligent Vehicles Symposium (2012)
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)
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)
Sebastian Bauer, Sebastian Köhler, Konrad Doll, Ulrich Brunsmann
FPGA-GPU architecture for kernel SVM pedestrian detection. CVPR Workshops (2010)
Bernhard M. Riess, Konrad Doll, Frank M. Johannes
Partitioning Very Large Circuits Using Analytical Placement Techniques. DAC (1994)
Konrad Doll, Frank M. Johannes, Kurt Antreich
Iterative placement improvement by network flow methods. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 13 (10) (1994)
Konrad Doll, Frank M. Johannes, Georg Sigl
Accurate net models for placement improvement by network flow methods. ICCAD (1992)
Georg Sigl, Konrad Doll, Frank M. Johannes
Analytical Placement: A Linear or a Quadratic Objective Function? DAC (1991)
Konrad Doll, Frank M. Johannes, Georg Sigl
DOMINO: Deterministic Placement Improvement with Hill-Climbing Capabilities. VLSI (1991)