Lutz Eckstein

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 97

Top Venues

CoRR

ITSC

Intelligent Vehicles Symposium

Publications

Raphael van Kempen, Tim Rehbronn, Abin Jose, Johannes Stegmaier, Bastian Lampe, Timo Woopen, Lutz Eckstein
Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time. CoRR (2024)
Christian Geller, Benedikt Haas, Amarin Kloeker, Jona Hermens, Bastian Lampe, Till Beemelmanns, Lutz Eckstein
CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS. IV (2024)
Christoph Glasmacher, Hendrik Weber, Lutz Eckstein
Towards a Completeness Argumentation for Scenario Concepts. CoRR (2024)
Till Beemelmanns, Yuchen Tao, Bastian Lampe, Lennart Reiher, Raphael van Kempen, Timo Woopen, Lutz Eckstein
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods. CoRR (2024)
Lennart Vater, Sven Tarlowski, Michael Schuldes, Lutz Eckstein
Determining the Tactical Challenge of Scenarios to Efficiently Test Automated Driving Systems. IV (2024)
Guido Küppers, Jean-Pierre Busch, Lennart Reiher, Lutz Eckstein
V2AIX: A Multi-Modal Real-World Dataset of ETSI ITS V2X Messages in Public Road Traffic. CoRR (2024)
Christoph Glasmacher, Michael Schuldes, Sleiman El Masri, Lutz Eckstein
Causality-based Transfer of Driving Scenarios to Unseen Intersections. IV (2024)
Lennart Vater, Sven Tarlowski, Michael Schuldes, Lutz Eckstein
Determining the Tactical Challenge of Scenarios to Efficiently Test Automated Driving Systems. CoRR (2024)
Christoph Glasmacher, Michael Schuldes, Sleiman El Masri, Lutz Eckstein
Causality-based Transfer of Driving Scenarios to Unseen Intersections. CoRR (2024)
Michael Schuldes, Christoph Glasmacher, Lutz Eckstein
scenario.center: Methods from Real-world Data to a Scenario Database. CoRR (2024)
Jean-Pierre Busch, Lennart Reiher, Lutz Eckstein
. ICRA (2024)
Till Beemelmanns, Quan Zhang, Christian Geller, Lutz Eckstein
MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection. IV (2024)
Till Beemelmanns, Quan Zhang, Lutz Eckstein
MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection. CoRR (2024)
Michael Schuldes, Christoph Glasmacher, Lutz Eckstein
scenario.center: Methods from Real-world Data to a Scenario Database. IV (2024)
Christian Geller, Benedikt Haas, Amarin Kloeker, Jona Hermens, Bastian Lampe, Till Beemelmanns, Lutz Eckstein
CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS. CoRR (2024)
Christoph Glasmacher, Hendrik Weber, Michael Schuldes, Lutz Eckstein
Towards a Completeness Argumentation for Scenario Concepts. IV (2024)
Daniel Becker, Sanath Konthala, Lutz Eckstein
Open-Source Tool Based Framework for Automated Performance Evaluation of an AD Function. CoRR (2024)
Marcel Sonntag, Lennart Vater, Roman Vuskov, Lutz Eckstein
Detecting Edge Cases from Trajectory Datasets Using Deep Learning Based Outlier Detection. VEHITS (2024)
Till Beemelmanns, Wassim Zahr, Lutz Eckstein
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps. CoRR (2023)
Christoph Glasmacher, Hendrik Weber, Michael Schuldes, Nicolas Wagener, Lutz Eckstein
Generation of Concrete Parameters from Logical Urban Driving Scenarios Based on Hybrid Graphs. VEHITS (2023)
Laurent Kloeker, Gregor Joeken, Lutz Eckstein
Economic Analysis of Smart Roadside Infrastructure Sensors for Connected and Automated Mobility. ITSC (2023)
Christoph Glasmacher, Michael Schuldes, Hendrik Weber, Nicolas Wagener, Lutz Eckstein
Acquire Driving Scenarios Efficiently: A Framework for Prospective Assessment of Cost-Optimal Scenario Acquisition. CoRR (2023)
Bastian Lampe, Lennart Reiher, Lukas Zanger, Timo Woopen, Raphael van Kempen, Lutz Eckstein
RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS. CoRR (2023)
Cecilia Latotzke, Amarin Kloeker, Simon Schoening, Fabian Kemper, Mazen Slimi, Lutz Eckstein, Tobias Gemmeke
FPGA-based Acceleration of Lidar Point Cloud Processing and Detection on the Edge. IV (2023)
Daniel Becker, Guido Küppers, Lutz Eckstein
Simulative Performance Analysis of an AD Function with Road Network Variation. CoRR (2023)
Raphael van Kempen, Laurenz Adrian Heidrich, Bastian Lampe, Timo Woopen, Lutz Eckstein
Combined Registration and Fusion of Evidential Occupancy Grid Maps for Live Digital Twins of Traffic. CoRR (2023)
Christoph Glasmacher, Michael Schuldes, Hendrik Weber, Nicolas Wagener, Lutz Eckstein
Acquire Driving Scenarios Efficiently: A Framework for Prospective Assessment of Cost-Optimal Scenario Acquisition. ITSC (2023)
Bastian Lampe, Lennart Reiher, Lukas Zanger, Timo Woopen, Raphael van Kempen, Lutz Eckstein
RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS. ITSC (2023)
Jean-Pierre Busch, Lennart Reiher, Lutz Eckstein
Enabling the Deployment of Any-Scale Robotic Applications in Microservice Architectures through Automated Containerization. CoRR (2023)
Laurent Kloeker, Chenghua Liu, Chao Wei, Lutz Eckstein
Framework for Quality Evaluation of Smart Roadside Infrastructure Sensors for Automated Driving Applications. CoRR (2023)
Raphael van Kempen, Laurenz Adrian Heidrich, Bastian Lampe, Timo Woopen, Lutz Eckstein
Combined Registration and Fusion of Evidential Occupancy Grid Maps for Live Digital Twins of Traffic. IV (2023)
Laurent Kloeker, Chenghua Liu, Chao Wei, Lutz Eckstein
Framework for Quality Evaluation of Smart Roadside Infrastructure Sensors for Automated Driving Applications. IV (2023)
Hendrik Weber, Christoph Glasmacher, Michael Schuldes, Nicolas Wagener, Lutz Eckstein
Holistic Driving Scenario Concept for Urban Traffic. IV (2023)
Mohsen Vadidar, Ali Kariminezhad, Christian Mayr, Laurent Kloeker, Lutz Eckstein
Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection. IV (2022)
Tobias Moers, Lennart Vater, Robert Krajewski, Julian Bock, Adrian Zlocki, Lutz Eckstein
The exiD Dataset: A Real-World Trajectory Dataset of Highly Interactive Highway Scenarios in Germany. IV (2022)
Daniel Becker, Christian Geller, Lutz Eckstein
Road Network Variation Based on HD Map Analysis for the Simulative Safety Assurance of Automated Vehicles. CoRR (2022)
Lennart Reiher, Bastian Lampe, Timo Woopen, Raphael van Kempen, Till Beemelmanns, Lutz Eckstein
Enabling Connectivity for Automated Mobility: A Novel MQTT-based Interface Evaluated in a 5G Case Study on Edge-Cloud Lidar Object Detection. CoRR (2022)
Till Beemelmanns, Yuchen Tao, Bastian Lampe, Lennart Reiher, Raphael van Kempen, Timo Woopen, Lutz Eckstein
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods. IV (2022)
Mohsen Vadidar, Ali Kariminezhad, Christian Mayr, Laurent Kloeker, Lutz Eckstein
Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection. CoRR (2022)
Laurent Kloeker, Julian Quakernack, Bastian Lampe, Lutz Eckstein
Generic Approach to Optimized Placement of Smart Roadside Infrastructure Sensors Using 3D Digital Maps. ITSC (2022)
Raphael van Kempen, Bastian Lampe, Lennart Reiher, Timo Woopen, Till Beemelmanns, Lutz Eckstein
Data-Driven Occupancy Grid Mapping using Synthetic and Real-World Data. CoRR (2022)
Christoph Glasmacher, Robert Krajewski, Lutz Eckstein
An Automated Analysis Framework for Trajectory Datasets. CoRR (2022)
Tobias Oetermann, Pia S. C. Dautzenberg, Gudrun Voß, Christopher Brockmeier, Stefan Ladwig, Patrick Gebhard, Tanja Schneeberger, Markus Funk, Raymond Brueckner, Felix Schäfer, Norbert Helff, Andreas Gomer, Lutz Eckstein
EMMI: Empathic Human-Machine Interaction for Establishing Trust in Automated Driving. CoRR (2022)
Laurent Kloeker, Amarin Kloeker, Fabian Thomsen, Armin Erraji, Lutz Eckstein, Serge Lamberty, Adrian Fazekas, Eszter Kalló, Markus Oeser, Charlotte Fléchon, Jochen Lohmiller, Pascal Pfeiffer, Martin Sommer, Helen Winter
Corridor for new mobility Aachen-Düsseldorf: Methods and concepts of the research project ACCorD. CoRR (2021)
Steffen Jochum, Lotte Saupp, Jan Bavendiek, Christopher Brockmeier, Lutz Eckstein
Investigating Kinematic Parameters of a Turning Seat as a Haptic and Kinesthetic HMI to Support the Take-Over Request in Automated Driving. AHFE (12) (2021)
Robert Krajewski, Lennart Vater, Marvin Klimke, Tobias Moers, Julian Bock, Lutz Eckstein
Drone-based Generation of Sensor Reference and Training Data for Highly Automated Vehicles. ITSC (2021)
Amarin Kloeker, Robert Krajewski, Lutz Eckstein
Comparison of Camera-Equipped Drones and Infrastructure Sensors for Creating Trajectory Datasets of Road Users. VEHITS (2021)
Johannes Hiller, Fabian Müller, Lutz Eckstein
Aggregation of Road Characteristics from Online Maps and Evaluation of Datasets. IV (2021)
Raphael van Kempen, Bastian Lampe, Timo Woopen, Lutz Eckstein
A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping. CoRR (2021)
Laurent Kloeker, Tobias Moers, Lennart Vater, Adrian Zlocki, Lutz Eckstein
Utilization and Potentials of Unmanned Aerial Vehicles (UAVs) in the Field of Automated Driving: A Survey. ICVISP (2021)
Michael Hoss, Maike Scholtes, Lutz Eckstein
A Review of Testing Object-Based Environment Perception for Safe Automated Driving. CoRR (2021)
Jan Bavendiek, Teresa Koch, Christopher Brockmeier, Lutz Eckstein
An Expert Informed Approach to Assess Challenges in Automotive HMI Development and Their Implications on Development Processes. AHFE (12) (2021)
Maike Scholtes, Lukas Westhofen, Lara Ruth Turner, Katrin Lotto, Michael Schuldes, Hendrik Weber, Nicolas Wagener, Christian Neurohr, Martin Bollmann, Franziska Körtke, Johannes Hiller, Michael Hoss, Julian Bock, Lutz Eckstein
6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment. IEEE Access 9 (2021)
Laurent Kloeker, Fabian Thomsen, Lutz Eckstein, Philip Trettner, Tim Elsner, Julius Nehring-Wirxel, Kersten Schuster, Leif Kobbelt, Michael Hoesch
Highly accurate digital traffic recording as a basis for future mobility research: Methods and concepts of the research project HDV-Mess. CoRR (2021)
Lining Wang, Tien Ju Lee, Jan Bavendiek, Lutz Eckstein
A data-driven approach towards the full anthropometric measurements prediction via Generalized Regression Neural Networks. Appl. Soft Comput. 109 (2021)
Raphael van Kempen, Bastian Lampe, Timo Woopen, Lutz Eckstein
A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping. IV (2021)
Laurent Kloeker, Christian Geller, Amarin Kloeker, Lutz Eckstein
High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups. CoRR (2020)
Bastian Lampe, Raphael van Kempen, Timo Woopen, Alexandru Kampmann, Bassam Alrifaee, Lutz Eckstein
Reducing Uncertainty by Fusing Dynamic Occupancy Grid Maps in a Cloud-based Collective Environment Model. CoRR (2020)
Bastian Lampe, Raphael van Kempen, Timo Woopen, Alexandru Kampmann, Bassam Alrifaee, Lutz Eckstein
Reducing Uncertainty by Fusing Dynamic Occupancy Grid Maps in a Cloud-based Collective Environment Model. IV (2020)
Maike Scholtes, Lukas Westhofen, Lara Ruth Turner, Katrin Lotto, Michael Schuldes, Hendrik Weber, Nicolas Wagener, Christian Neurohr, Martin Bollmann, Franziska Körtke, Johannes Hiller, Michael Hoss, Julian Bock, Lutz Eckstein
6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment. CoRR (2020)
Lennart Reiher, Bastian Lampe, Lutz Eckstein
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. ITSC (2020)
Daniel Bauer, Lars Kuhnert, Lutz Eckstein
Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping. IROS (2020)
Daniel Becker, Fabian Ruß, Christian Geller, Lutz Eckstein
Generation of Complex Road Networks Using a Simplified Logical Description for the Validation of Automated Vehicles. ITSC (2020)
Laurent Kloeker, Christian Geller, Amarin Kloeker, Lutz Eckstein
. ITSC (2020)
Armin Mokhtarian, Alexandru Kampmann, Bassam Alrifaee, Stefan Kowalewski, Bastian Lampe, Lutz Eckstein
Agile Requirement Engineering for a Cloud System for Automated and Networked Vehicles. ASD@DATE (2020)
Jan Bavendiek, Yannick Ostad, Lutz Eckstein
Evaluating HMI-Development Approaches from an Automotive Perspective. HCI (32) (2020)
Robert Krajewski, Tobias Moers, Julian Bock, Lennart Vater, Lutz Eckstein
The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany. ITSC (2020)
Lennart Reiher, Bastian Lampe, Lutz Eckstein
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. CoRR (2020)
Laurent Kloeker, Christian Kotulla, Lutz Eckstein
Real-Time Point Cloud Fusion of Multi-LiDAR Infrastructure Sensor Setups with Unknown Spatial Location and Orientation. ITSC (2020)
Laurent Kloeker, Christian Kotulla, Lutz Eckstein
Real-Time Point Cloud Fusion of Multi-LiDAR Infrastructure Sensor Setups with Unknown Spatial Location and Orientation. CoRR (2020)
Daniel Becker, Fabian Ruß, Christian Geller, Lutz Eckstein
Generation of Complex Road Networks Using a Simplified Logical Description for the Validation of Automated Vehicles. CoRR (2020)
Julian Bock, Robert Krajewski, Tobias Moers, Steffen Runde, Lennart Vater, Lutz Eckstein
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections. IV (2020)
Robert Krajewski, Michael Hoss, Adrian Meister, Fabian Thomsen, Julian Bock, Lutz Eckstein
Using Drones as Reference Sensors for Neural-Networks-Based Modeling of Automotive Perception Errors**The research leading to these results is funded by the Federal Ministry for Economic Affairs and Energy within the project "VVM - Verification and Validation Methods for Automated Vehicles Level 4 and 5". The authors would like to thank the consortium for the successful cooperation. IV (2020)
Daniel Bauer, Lars Kuhnert, Lutz Eckstein
Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping. CoRR (2020)
Julian Bock, Robert Krajewski, Tobias Moers, Steffen Runde, Lennart Vater, Lutz Eckstein
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections. CoRR (2019)
Jan Bavendiek, Emily Oliveira, Lutz Eckstein
A Novel Method for Designing Metaphor-Based Driver-Vehicle Interaction Concepts in Automated Vehicles. AHFE (13) (2019)
Alexandru Kampmann, Bassam Alrifaee, Markus Kohout, Andreas Wüstenberg, Timo Woopen, Marcus Nolte, Lutz Eckstein, Stefan Kowalewski
A Dynamic Service-Oriented Software Architecture for Highly Automated Vehicles. ITSC (2019)
Daniel Bauer, Lars Kuhnert, Lutz Eckstein
Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework. CoRR (2019)
Minglu Li, Lutz Eckstein
Fail-Operational Steer-By-Wire System for Autonomous Vehicles. ICVES (2019)
Robert Krajewski, Tobias Moers, Lutz Eckstein
VeGAN: Using GANs for Augmentation in Latent Space to Improve the Semantic Segmentation of Vehicles in Images From an Aerial Perspective. WACV (2019)
Julian Bock, Philipp Nolte, Lutz Eckstein
Continuously Improving Model of Road User Movement Patterns using Recurrent Neural Networks at Intersections with Connected Sensors. VEHITS (2019)
Johannes Hiller, Michael Schuldes, Lutz Eckstein
Recognition and Pseudonymization of Data Privacy Relevant Areas in Videos for Compliance with GDPR. ITSC (2019)
Daniel Bauer, Lars Kuhnert, Lutz Eckstein
Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework. IV (2019)
Robert Krajewski, Tobias Moers, Adrian Meister, Lutz Eckstein
BézierVAE: Improved Trajectory Modeling using Variational Autoencoders for the Safety Validation of Highly Automated Vehicles. ITSC (2019)
Daniel Bauer, Lars Kuhnert, Lutz Eckstein
Deep, spatially coherent Occupancy Maps based on Radar Measurements. CoRR (2019)
Christoph Stiller, Wolfram Burgard, Barbara Deml, Lutz Eckstein, Frank Flemisch
Kooperativ interagierende Automobile. Autom. 66 (2) (2018)
Clemens Nietzschmann, Sebastian Klaudt, Christoph Klas, Devid Will, Lutz Eckstein
Trajectory optimization for Car-Like Vehicles in Structured and Semi-Structured Environments. Intelligent Vehicles Symposium (2018)
Robert Krajewski, Tobias Moers, Dominik Nerger, Lutz Eckstein
Data-Driven Maneuver Modeling using Generative Adversarial Networks and Variational Autoencoders for Safety Validation of Highly Automated Vehicles. ITSC (2018)
Robert Krajewski, Julian Bock, Laurent Kloeker, Lutz Eckstein
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems. ITSC (2018)
Christian Roesener, Michael Harth, Hendrik Weber, Johanna Josten, Lutz Eckstein
Modelling Human Driver Performance for Safety Assessment of Road Vehicle Automation. ITSC (2018)
Robert Krajewski, Julian Bock, Laurent Kloeker, Lutz Eckstein
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems. CoRR (2018)
Sebastian Klaudt, Adrian Zlocki, Lutz Eckstein
A-priori map information and path planning for automated valet-parking. Intelligent Vehicles Symposium (2017)
Johanna Josten, Teresa Schmidt, Ralf Philipsen, Lutz Eckstein, Martina Ziefle
Privacy and initial information in automated driving - Evaluation of information demands and data sharing concerns. Intelligent Vehicles Symposium (2017)
Christian Roesener, Johannes Hiller, Hendrik Weber, Lutz Eckstein
How safe is automated driving? Human driver models for safety performance assessment. ITSC (2017)
Jorg Gissing, Philipp Themann, Sidney Baltzer, Thomas Lichius, Lutz Eckstein
Optimal Control of Series Plug-In Hybrid Electric Vehicles Considering the Cabin Heat Demand. IEEE Trans. Control. Syst. Technol. 24 (3) (2016)
Christian Roesener, Felix Fahrenkrog, Axel Uhlig, Lutz Eckstein
A scenario-based assessment approach for automated driving by using time series classification of human-driving behaviour. ITSC (2016)
Robert Krajewski, Philipp Themann, Lutz Eckstein
Decoupled cooperative trajectory optimization for connected highly automated vehicles at urban intersections. Intelligent Vehicles Symposium (2016)
Philipp Themann, Jens Kotte, Dominik Raudszus, Lutz Eckstein
Impact of positioning uncertainty of vulnerable road users on risk minimization in collision avoidance systems. Intelligent Vehicles Symposium (2015)
Janek Hudecek, Lutz Eckstein
Improving and simplifying the generation of reference trajectories by usage of road-aligned coordinate systems. Intelligent Vehicles Symposium (2014)
Sidney Baltzer, Jorg Gissing, Peter Jeck, Thomas Lichius, Lutz Eckstein
Integration of micro-CHP units into BEVs - Influence on the overall efficiency, emissions and the electric driving range. Intelligent Vehicles Symposium (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lutz Eckstein