Konrad Doll

Orcid: 0000-0002-3746-2319

According to our database1, Konrad Doll authored at least 53 papers between 1991 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications.
CoRR, 2024

Sensor Equivariance: A Framework for Semantic Segmentation with Diverse Camera Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories.
IEEE Trans. Intell. Veh., March, 2023

Sensor Equivariance by LiDAR Projection Images.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Exploiting Self-Imposed Constraints on RGB and LiDAR for Unsupervised Training.
Proceedings of the 2023 6th International Conference on Machine Vision and Applications, 2023

Height Change Feature Based Free Space Detection.
Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023

2022
A Holistic View on Probabilistic Trajectory Forecasting - Case Study. Cyclist Intention Detection.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2021

Pedestrians and Cyclists in Road Traffic: Trajectories, 3D Poses and Semantic Maps.
Dataset, June, 2021

Cyclist Intention Detection: A Probabilistic Approach.
CoRR, 2021

Cyclist Motion State Forecasting - Going beyond Detection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information.
Proceedings of the IEEE International Smart Cities Conference, 2021

Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems.
Proceedings of the IEEE International Smart Cities Conference, 2021

Smart Infrastructure: A Research Junction.
Proceedings of the IEEE International Smart Cities Conference, 2021

2020
Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning.
IEEE Trans. Intell. Transp. Syst., 2020

Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
Pose Based Trajectory Forecast of Vulnerable Road Users.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Pose Based Start Intention Detection of Cyclists.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Start Intention Detection of Cyclists using an LSTM Network.
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft, INFORMATIK 2019, 2019

2018
Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble.
IEEE Trans. Intell. Veh., 2018

Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence.
CoRR, 2018

Highly Automated Learning for Improved Active Safety of Vulnerable Road Users.
CoRR, 2018

Human Pose Estimation in Real Traffic Scenes.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Cyclists' starting behavior at intersections.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Cooperative starting intention detection of cyclists based on smart devices and infrastructure.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2016
Trajectory prediction of cyclists using a physical model and an artificial neural network.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

2015
New control scheme for a lane-keeping evasive maneuver exploiting the free space optimally.
Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015

Stereo-Vision-Based Pedestrian's Intention Detection in a Moving Vehicle.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014
Real-time ego-motion estimation using Lidar and a vehicle model based Extended Kalman Filter.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Analysis on termination of pedestrians' gait at urban intersections.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Stationary Detection of the Pedestrian?s Intention at Intersections.
IEEE Intell. Transp. Syst. Mag., 2013

Autonomous evasive maneuvers triggered by infrastructure-based detection of pedestrian intentions.
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Early prediction of a pedestrian's trajectory at intersections.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

FPGA-Based Real-Time Pedestrian Detection on High-Resolution Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Transponder- and Camera-based advanced driver assistance system.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

Cooperative multi sensor network for traffic safety applications at intersections.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

Early detection of the Pedestrian's intention to cross the street.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

2011
Gpu architecture for stationary multisensor pedestrian detection at smart intersections.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

2010
FPGA-GPU architecture for kernel SVM pedestrian detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

1994
Iterative placement improvement by network flow methods.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1994

Partitioning Very Large Circuits Using Analytical Placement Techniques.
Proceedings of the 31st Conference on Design Automation, 1994

1992
Accurate net models for placement improvement by network flow methods.
Proceedings of the 1992 IEEE/ACM International Conference on Computer-Aided Design, 1992

1991
DOMINO: Deterministic Placement Improvement with Hill-Climbing Capabilities.
Proceedings of the VLSI 91, 1991

Analytical Placement: A Linear or a Quadratic Objective Function?
Proceedings of the 28th Design Automation Conference, 1991


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