Analytical Placement: A Linear or a Quadratic Objective Function? - Georg Sigl; Konrad Doll; Frank M. Johannes (DAC, 1991)

DOMINO: Deterministic Placement Improvement with Hill-Climbing Capabilities. - Konrad Doll; Frank M. Johannes; Georg Sigl (VLSI, 1991)

Accurate net models for placement improvement by network flow methods. - Konrad Doll; Frank M. Johannes; Georg Sigl (ICCAD, 1992)

Partitioning Very Large Circuits Using Analytical Placement Techniques. - Bernhard M. Riess; Konrad Doll; Frank M. Johannes (DAC, 1994)

Iterative placement improvement by network flow methods. - Konrad Doll; Frank M. Johannes; Kurt Antreich (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1994)

FPGA-GPU architecture for kernel SVM pedestrian detection. - Sebastian Bauer 002; Sebastian Köhler 004; Konrad Doll; Ulrich Brunsmann (CVPR Workshops, 2010)

Gpu architecture for stationary multisensor pedestrian detection at smart intersections. - Daniel Weimer; Sebastian Köhler 004; Christian Hellert; Konrad Doll; Ulrich Brunsmann; Roland Krzikalla (Intelligent Vehicles Symposium, 2011)

Early detection of the Pedestrian's intention to cross the street. - Sebastian Köhler 004; Michael Goldhammer; Sebastian Bauer 002; Konrad Doll; Ulrich Brunsmann; Klaus Dietmayer (ITSC, 2012)

Cooperative multi sensor network for traffic safety applications at intersections. - Michael Goldhammer; Elias Strigel; Daniel Alexander Meissner; Ulrich Brunsmann; Konrad Doll; Klaus Dietmayer (ITSC, 2012)

Transponder- and Camera-based advanced driver assistance system. - Daniel Westhofen; Carolin Grundler; Konrad Doll; Ulrich Brunsmann; Stephan Zecha (Intelligent Vehicles Symposium, 2012)

FPGA-Based Real-Time Pedestrian Detection on High-Resolution Images. - Michael Hahnle; Frerk Saxen; Matthias Hisung; Ulrich Brunsmann; Konrad Doll (CVPR Workshops, 2013)

Early prediction of a pedestrian's trajectory at intersections. - Michael Goldhammer; Matthias Gerhard; Stefan Zernetsch; Konrad Doll; Ulrich Brunsmann (ITSC, 2013)

Autonomous evasive maneuvers triggered by infrastructure-based detection of pedestrian intentions. - Sebastian Köhler 004; Brian Schreiner; Steffen Ronalter; Konrad Doll; Ulrich Brunsmann; Klaus Zindler (Intelligent Vehicles Symposium, 2013)

Stationary Detection of the Pedestrian?s Intention at Intersections. - Sebastian Köhler 004; Michael Goldhammer; Sebastian Bauer 002; Stephan Zecha; Konrad Doll; Ulrich Brunsmann; Klaus Dietmayer (IEEE Intell. Transp. Syst. Mag., 2013)

Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks. - Michael Goldhammer; Konrad Doll; Ulrich Brunsmann; Andre Gensler; Bernhard Sick (ICPR, 2014)

Analysis on termination of pedestrians' gait at urban intersections. - Michael Goldhammer; Andreas Hubert; Sebastian Köhler 004; Klaus Zindler; Ulrich Brunsmann; Konrad Doll; Bernhard Sick (ITSC, 2014)

Real-time ego-motion estimation using Lidar and a vehicle model based Extended Kalman Filter. - Klaus Zindler; Niklas Geiß; Konrad Doll; Sven Heinlein (ITSC, 2014)

Stereo-Vision-Based Pedestrian's Intention Detection in a Moving Vehicle. - Sebastian Köhler 004; Michael Goldhammer; Klaus Zindler; Konrad Doll; Klaus Dietmayer (ITSC, 2015)

New control scheme for a lane-keeping evasive maneuver exploiting the free space optimally. - Stefan Hahn; Klaus Zindler; Konrad Doll; Ulrich Jumar (MMAR, 2015)

Trajectory prediction of cyclists using a physical model and an artificial neural network. - Stefan Zernetsch; Sascha Kohnen; Michael Goldhammer; Konrad Doll; Bernhard Sick (Intelligent Vehicles Symposium, 2016)

Cooperative starting intention detection of cyclists based on smart devices and infrastructure. - Maarten Bieshaar; Stefan Zernetsch; Malte Depping; Bernhard Sick; Konrad Doll (ITSC, 2017)

Cyclists' starting behavior at intersections. - Andreas Hubert; Stefan Zernetsch; Konrad Doll; Bernhard Sick (Intelligent Vehicles Symposium, 2017)

Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks. - Jan Eilbrecht; Maarten Bieshaar; Stefan Zernetsch; Konrad Doll; Bernhard Sick; Olaf Stursberg (SSCI, 2017)

Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. - Günther Reitberger; Maarten Bieshaar; Stefan Zernetsch; Konrad Doll; Bernhard Sick; Erich Fuchs (ITSC, 2018)

Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network. - Stefan Zernetsch; Viktor Kress; Bernhard Sick; Konrad Doll (Intelligent Vehicles Symposium, 2018)

Human Pose Estimation in Real Traffic Scenes. - Viktor Kress; Janis Jung; Stefan Zernetsch; Konrad Doll; Bernhard Sick (SSCI, 2018)

Highly Automated Learning for Improved Active Safety of Vulnerable Road Users. - Maarten Bieshaar; Günther Reitberger; Viktor Kreß; Stefan Zernetsch; Konrad Doll; Erich Fuchs; Bernhard Sick (CoRR, 2018)

Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence. - Maarten Bieshaar; Günther Reitberger; Stefan Zernetsch; Bernhard Sick; Erich Fuchs; Konrad Doll (CoRR, 2018)

Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble. - Maarten Bieshaar; Stefan Zernetsch; Andreas Hubert; Bernhard Sick; Konrad Doll (IEEE Trans. Intell. Veh., 2018)

Start Intention Detection of Cyclists using an LSTM Network. - Viktor Kress; Janis Jung; Stefan Zernetsch; Konrad Doll; Bernhard Sick (GI-Jahrestagung (Workshops), 2019)

Pose Based Start Intention Detection of Cyclists. - Viktor Kress; Janis Jung; Stefan Zernetsch; Konrad Doll; Bernhard Sick (ITSC, 2019)

Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks. - Stefan Zernetsch; Hannes Reichert; Viktor Kress; Konrad Doll; Bernhard Sick (IV, 2019)

Pose Based Trajectory Forecast of Vulnerable Road Users. - Viktor Kress; Stefan Zernetsch; Konrad Doll; Bernhard Sick (SSCI, 2019)

Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks. - Viktor Kress; Stefan Zernetsch; Konrad Doll; Bernhard Sick (ICPR Workshops (1), 2020)

Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution. - Stefan Zernetsch; Steven Schreck; Viktor Kress; Konrad Doll; Bernhard Sick (ICPR, 2020)

Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks. - Viktor Kress; Steven Schreck; Stefan Zernetsch; Konrad Doll; Bernhard Sick (SSCI, 2020)

Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning. - Michael Goldhammer; Sebastian Köhler 004; Stefan Zernetsch; Konrad Doll; Bernhard Sick; Klaus Dietmayer (IEEE Trans. Intell. Transp. Syst., 2020)

Smart Infrastructure: A Research Junction. - Manuel Hetzel; Hannes Reichert; Konrad Doll; Bernhard Sick (ISC2, 2021)

Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. - Hannes Reichert; Lukas Lang; Kevin Rösch; Daniel Bogdoll; Konrad Doll; Bernhard Sick; Hans-Christian Reuss; Christoph Stiller; J. Marius Zöllner (ISC2, 2021)

Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. - Stefan Zernetsch; Oliver Trupp; Viktor Kress; Konrad Doll; Bernhard Sick (ISC2, 2021)

Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists. - Jan Schneegans; Jan Eilbrecht; Stefan Zernetsch; Maarten Bieshaar; Konrad Doll; Olaf Stursberg; Bernhard Sick (IV Workshops, 2021)

Cyclist Motion State Forecasting - Going beyond Detection. - Maarten Bieshaar; Stefan Zernetsch; Katharina Riepe; Konrad Doll; Bernhard Sick (SSCI, 2021)

Cyclist Intention Detection: A Probabilistic Approach. - Stefan Zernetsch; Hannes Reichert; Viktor Kress; Konrad Doll; Bernhard Sick (CoRR, 2021)

Pedestrians and Cyclists in Road Traffic: Trajectories, 3D Poses and Semantic Maps. - Viktor Kress; Stefan Zernetsch; Maarten Bieshaar; Günther Reitberger; Erich Fuchs; Konrad Doll; Bernhard Sick (Zenodo, 2021)

Aschaffenburg Pose Dataset. - Viktor Kress; Stefan Zernetsch; Hannes Reichert; Manuel Hetzel; Maarten Bieshaar; Günther Reitberger; Erich Fuchs; Konrad Doll; Bernhard Sick (Zenodo, 2021)

A Holistic View on Probabilistic Trajectory Forecasting - Case Study. Cyclist Intention Detection. - Stefan Zernetsch; Hannes Reichert; Viktor Kress; Konrad Doll; Bernhard Sick (IV, 2022)

Height Change Feature Based Free Space Detection. - Steven Schreck; Hannes Reichert; Manuel Hetzel; Konrad Doll; Bernhard Sick (ICCMA, 2023)

Exploiting Self-Imposed Constraints on RGB and LiDAR for Unsupervised Training. - Andreas Hubert; Janis Jung; Konrad Doll (ICMVA, 2023)

The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset. - Manuel Hetzel; Hannes Reichert; Günther Reitberger; Erich Fuchs; Konrad Doll; Bernhard Sick (IV, 2023)

Sensor Equivariance by LiDAR Projection Images. - Hannes Reichert; Manuel Hetzel; Steven Schreck; Konrad Doll; Bernhard Sick (IV, 2023)

Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories. - Viktor Kress; Fabian Jeske; Stefan Zernetsch; Konrad Doll; Bernhard Sick (IEEE Trans. Intell. Veh., 2023)

The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset. - Manuel Hetzel; Hannes Reichert; Günther Reitberger; Konrad Doll; Bernhard Sick (Zenodo, 2023)

Sensor Equivariance: A Framework for Semantic Segmentation with Diverse Camera Models. - Hannes Reichert; Manuel Hetzel; Andreas Hubert; Konrad Doll; Bernhard Sick (CVPR Workshops, 2024)

Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications. - Manuel Hetzel; Hannes Reichert; Konrad Doll; Bernhard Sick (ECCV Workshops (17), 2024)

CARLA Equirectangular Dataset. - Hannes Reichert; Manuel Hetzel; Andreas Hubert; Konrad Doll; Bernhard Sick (Zenodo, 2025)

SemanticTHAB: A High Resolution LiDAR Dataset. - Hannes Reichert; Elijah Schüssler; Benjamin Serfling; Kerim Turacan; Konrad Doll; Bernhard Sick (Zenodo, 2025)

SemanticTHAB: A High Resolution LiDAR Dataset. - Hannes Reichert; Elijah Schüssler; Benjamin Serfling; Kerim Turacan; Konrad Doll; Bernhard Sick (Zenodo, 2025)

Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans. - Hannes Reichert; Benjamin Serfling; Elijah Schüssler; Kerim Turacan; Konrad Doll; Bernhard Sick (CoRR, 2025)

LiDAR Based Semantic Perception for Forklifts in Outdoor Environments. - Benjamin Serfling; Hannes Reichert; Lorenzo Bayerlein; Konrad Doll; Kati Radkhah-Lens (CoRR, 2025)