Konrad Doll

发表

Stationary Detection of the Pedestrian?s Intention at Intersections

Klaus C. J. Dietmayer, Michael Goldhammer, Ulrich Brunsmann, 2013, IEEE Intelligent Transportation Systems Magazine.

Track-Based Forecasting of Pedestrian Behavior by Polynomial Approximation and Multilayer Perceptrons

B. Sick, S. Köhler, M. Goldhammer, 2016 .

Support Vector Pruning with SortedVotes for Large-Scale Datasets

Konrad Doll, U. Brunsmann, Frerk Saxen, 2011 .

Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems

Konrad Doll, Hans-Christian Reuss, Bernhard Sick, 2021, 2021 IEEE International Smart Cities Conference (ISC2).

Gpu architecture for stationary multisensor pedestrian detection at smart intersections

Ulrich Brunsmann, Konrad Doll, Daniel Weimer, 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).

Intentions of Vulnerable Road Users—Detection and Forecasting by Means of Machine Learning

Klaus C. J. Dietmayer, Michael Goldhammer, Konrad Doll, 2018, IEEE Transactions on Intelligent Transportation Systems.

Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure

Konrad Doll, Bernhard Sick, Maarten Bieshaar, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks

Olaf Stursberg, Konrad Doll, Bernhard Sick, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Trajectory prediction of cyclists using a physical model and an artificial neural network

Michael Goldhammer, Konrad Doll, Bernhard Sick, 2016, 2016 IEEE Intelligent Vehicles Symposium (IV).

Camera based pedestrian path prediction by means of polynomial least-squares approximation and multilayer perceptron neural networks

Michael Goldhammer, Konrad Doll, Bernhard Sick, 2015, 2015 SAI Intelligent Systems Conference (IntelliSys).

Stereo-Vision-Based Pedestrian's Intention Detection in a Moving Vehicle

Klaus C. J. Dietmayer, Michael Goldhammer, Konrad Doll, 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

Analysis on termination of pedestrians' gait at urban intersections

Michael Goldhammer, Ulrich Brunsmann, Konrad Doll, 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks

Michael Goldhammer, Ulrich Brunsmann, Konrad Doll, 2014, 2014 22nd International Conference on Pattern Recognition.

Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2019, 2019 IEEE Intelligent Vehicles Symposium (IV).

Early detection of the Pedestrian's intention to cross the street

Klaus C. J. Dietmayer, Michael Goldhammer, Ulrich Brunsmann, 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.

Early prediction of a pedestrian's trajectory at intersections

Michael Goldhammer, Ulrich Brunsmann, Konrad Doll, 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

Human Pose Estimation in Real Traffic Scenes

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Cyclist Intention Detection: A Probabilistic Approach pdf

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2021, ArXiv.

Pose Based Start Intention Detection of Cyclists

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble

Konrad Doll, Bernhard Sick, Maarten Bieshaar, 2018, IEEE Transactions on Intelligent Vehicles.

Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

Cooperative starting intention detection of cyclists based on smart devices and infrastructure

Konrad Doll, Bernhard Sick, Maarten Bieshaar, 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).

Cooperative multi sensor network for traffic safety applications at intersections

Klaus C. J. Dietmayer, Michael Goldhammer, Elias Strigel, 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.

Cyclists' starting behavior at intersections

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2017, 2017 IEEE Intelligent Vehicles Symposium (IV).

Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users’ Trajectories pdf

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2021, IEEE Transactions on Intelligent Vehicles.

Pose Based Trajectory Forecast of Vulnerable Road Users

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

Autonomous evasive maneuvers triggered by infrastructure-based detection of pedestrian intentions

Ulrich Brunsmann, Konrad Doll, Klaus Zindler, 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).

Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2021, 2021 IEEE International Smart Cities Conference (ISC2).

Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

FPGA-GPU architecture for kernel SVM pedestrian detection

Ulrich Brunsmann, Konrad Doll, Sebastian Bauer, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists

Olaf Stursberg, Konrad Doll, Bernhard Sick, 2021, 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops).

Height Change Feature Based Free Space Detection

B. Sick, Konrad Doll, H. Reichert, 2023, ArXiv.

The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset

B. Sick, M. Hetzel, Konrad Doll, 2023, 2023 IEEE Intelligent Vehicles Symposium (IV).

Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble

B. Sick, Konrad Doll, Maarten Bieshaar, 2018, IEEE Transactions on Intelligent Vehicles.

Exploiting Self-Imposed Constraints on RGB and LiDAR for Unsupervised Training

Konrad Doll, Andreas Hubert, Janis Jung, 2023, Proceedings of the 2023 6th International Conference on Machine Vision and Applications.

Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence pdf

Konrad Doll, Bernhard Sick, Maarten Bieshaar, 2018, ArXiv.

FPGA-Based Real-Time Pedestrian Detection on High-Resolution Images

Ulrich Brunsmann, Konrad Doll, Frerk Saxen, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

New control scheme for a lane-keeping evasive maneuver exploiting the free space optimally

Konrad Doll, Stefan Hahn, Klaus Zindler, 2015, 2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR).