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An Automated Analysis Framework for Trajectory Datasets


Feb 12, 2022
Christoph Glasmacher, Robert Krajewski, Lutz Eckstein

* 13 pages, 13 figures 

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Corridor for new mobility Aachen-D├╝sseldorf: Methods and concepts of the research project ACCorD


Jul 13, 2021
Laurent Kloeker, Amarin Kloeker, Fabian Thomsen, Armin Erraji, Lutz Eckstein, Serge Lamberty, Adrian Fazekas, Eszter Kall├│, Markus Oeser, Charlotte Fl├ęchon, Jochen Lohmiller, Pascal Pfeiffer, Martin Sommer, Helen Winter


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Highly accurate digital traffic recording as a basis for future mobility research: Methods and concepts of the research project HDV-Mess


Jun 08, 2021
Laurent Kloeker, Fabian Thomsen, Lutz Eckstein, Philip Trettner, Tim Elsner, Julius Nehring-Wirxel, Kersten Schuster, Leif Kobbelt, Michael Hoesch


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Systematic Categorization of Influencing Factors on Radar-Based Perception to Facilitate Complex Real-World Data Evaluation


May 01, 2021
Maike Scholtes, Lutz Eckstein

* 10 pages, 4 figures 

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A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping


Feb 25, 2021
Raphael van Kempen, Bastian Lampe, Timo Woopen, Lutz Eckstein

* Submitted to 2021 IEEE Intelligent Vehicles Symposium (IV), Nagoya, Japan, July 11-15, 2021 

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A Review of Testing Object-Based Environment Perception for Safe Automated Driving


Feb 16, 2021
Michael Hoss, Maike Scholtes, Lutz Eckstein

* 23 pages, 7 figures 

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6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment


Dec 09, 2020
Maike Scholtes, Lukas Westhofen, Lara Ruth Turner, Katrin Lotto, Michael Schuldes, Hendrik Weber, Nicolas Wagener, Christian Neurohr, Martin Bollmann, Franziska K├Ârtke, Johannes Hiller, Michael Hoss, Julian Bock, Lutz Eckstein

* 24 pages, 7 figures, submitted to Automotive and Engine Technology (AAET) Journal 

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Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping


Dec 02, 2020
Daniel Bauer, Lars Kuhnert, Lutz Eckstein


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Real-Time Point Cloud Fusion of Multi-LiDAR Infrastructure Sensor Setups with Unknown Spatial Location and Orientation


Jul 28, 2020
Laurent Kloeker, Christian Kotulla, Lutz Eckstein

* Accepted to be published as part of the 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece, September 20-23, 2020 

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High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups


Jun 22, 2020
Laurent Kloeker, Christian Geller, Amarin Kloeker, Lutz Eckstein

* Accepted to be published as part of the 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece, September 20-23, 2020 

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A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View


May 08, 2020
Lennart Reiher, Bastian Lampe, Lutz Eckstein

* Accepted to be published as part of the 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece, September 20-23, 2020 

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The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections


Nov 18, 2019
Julian Bock, Robert Krajewski, Tobias Moers, Steffen Runde, Lennart Vater, Lutz Eckstein


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Deep, spatially coherent Occupancy Maps based on Radar Measurements


Mar 29, 2019
Daniel Bauer, Lars Kuhnert, Lutz Eckstein

* Submitted for Automotive Meets Electronics 2019 

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Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework


Mar 29, 2019
Daniel Bauer, Lars Kuhnert, Lutz Eckstein

* Submitted for Intelligent Vehicle Symposium 2019 

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The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems


Oct 11, 2018
Robert Krajewski, Julian Bock, Laurent Kloeker, Lutz Eckstein

* IEEE International Conference on Intelligent Transportation Systems (ITSC) 2018 

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