Lutz Eckstein - RankMe

123 papers A* 2A 2B 10C 24Journal 48Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	karl. - A Research Vehicle for Automated and Connected Driving. CoRR Jean-Pierre Busch, Lukas Ostendorf, Guido Linden, Lennart Reiher, Till Beemelmanns, Bastian Lampe, Timo Woopen, Lutz Eckstein
2025	—	`conf`	Application Management in C-ITS: Orchestrating Demand-Driven Deployments and Reconfigurations. ITSC Lukas Zanger, Bastian Lampe, Lennart Reiher, Lutz Eckstein
2025	J	`jnl`	Application Management in C-ITS: Orchestrating Demand-Driven Deployments and Reconfigurations. CoRR Lukas Zanger, Bastian Lampe, Lennart Reiher, Lutz Eckstein
2025	C	`conf`	Comparison of Parametrization Approaches for Scenario-Based Testing. VEHITS Christoph Glasmacher, Marcel Sonntag, Lutz Eckstein
2025	—	`conf`	Integrated Wheel Sensor Communication Using ESP32 - A Contribution Towards a Digital Twin of the Road System. ITSC Ventseslav Yordanov, Simon Schäfer, Alexander Mann, Stefan Kowalewski, Bassam Alrifaee, Lutz Eckstein
2025	J	`jnl`	Integrated Wheel Sensor Communication using ESP32 - A Contribution towards a Digital Twin of the Road System. CoRR Ventseslav Yordanov, Simon Schäfer, Alexander Mann, Stefan Kowalewski, Bassam Alrifaee, Lutz Eckstein
2025	A*	`conf`	OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction. ICRA Severin Heidrich, Till Beemelmanns, Alexey Nekrasov, Bastian Leibe, Lutz Eckstein
2025	J	`jnl`	OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction. CoRR Severin Heidrich, Till Beemelmanns, Alexey Nekrasov, Bastian Leibe, Lutz Eckstein
2025	J	`jnl`	Requirement Identification for Traffic Simulations in Driving Simulators. CoRR Sven Tarlowski, Lutz Eckstein
2024	J	`jnl`	3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods. CoRR Till Beemelmanns, Yuchen Tao, Bastian Lampe, Lennart Reiher, Raphael van Kempen, Timo Woopen, Lutz Eckstein
2024	C	`conf`	CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS. IV Christian Geller, Benedikt Haas, Amarin Kloeker, Jona Hermens, Bastian Lampe, Till Beemelmanns, Lutz Eckstein
2024	J	`jnl`	CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS. CoRR Christian Geller, Benedikt Haas, Amarin Kloeker, Jona Hermens, Bastian Lampe, Till Beemelmanns, Lutz Eckstein
2024	C	`conf`	Causality-based Transfer of Driving Scenarios to Unseen Intersections. IV Christoph Glasmacher, Michael Schuldes, Sleiman El Masri, Lutz Eckstein
2024	J	`jnl`	Causality-based Transfer of Driving Scenarios to Unseen Intersections. CoRR Christoph Glasmacher, Michael Schuldes, Sleiman El Masri, Lutz Eckstein
2024	C	`conf`	Detecting Edge Cases from Trajectory Datasets Using Deep Learning Based Outlier Detection. VEHITS Marcel Sonntag, Lennart Vater, Roman Vuskov, Lutz Eckstein
2024	C	`conf`	Determining the Tactical Challenge of Scenarios to Efficiently Test Automated Driving Systems. IV Lennart Vater, Sven Tarlowski, Michael Schuldes, Lutz Eckstein
2024	J	`jnl`	Determining the Tactical Challenge of Scenarios to Efficiently Test Automated Driving Systems. CoRR Lennart Vater, Sven Tarlowski, Michael Schuldes, Lutz Eckstein
2024	A*	`conf`	Enabling the Deployment of Any-Scale Robotic Applications in Microservice Architectures through Automated Containerization. ICRA Jean-Pierre Busch, Lennart Reiher, Lutz Eckstein
2024	J	`jnl`	Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time. CoRR Raphael van Kempen, Tim Rehbronn, Abin Jose, Johannes Stegmaier, Bastian Lampe, Timo Woopen, Lutz Eckstein
2024	C	`conf`	MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection. IV Till Beemelmanns, Quan Zhang, Christian Geller, Lutz Eckstein
2024	J	`jnl`	MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection. CoRR Till Beemelmanns, Quan Zhang, Lutz Eckstein
2024	J	`jnl`	Open-Source Tool Based Framework for Automated Performance Evaluation of an AD Function. CoRR Daniel Becker, Sanath Konthala, Lutz Eckstein
2024	—	`conf`	Scenario-Based Thermal Management Parametrization Through Deep Reinforcement Learning. ITSC Thomas Rudolf, Philip Muhl, Sören Hohmann, Lutz Eckstein
2024	J	`jnl`	Scenario-based Thermal Management Parametrization Through Deep Reinforcement Learning. CoRR Thomas Rudolf, Philip Muhl, Sören Hohmann, Lutz Eckstein
2024	C	`conf`	Towards a Completeness Argumentation for Scenario Concepts. IV Christoph Glasmacher, Hendrik Weber, Michael Schuldes, Lutz Eckstein
2024	J	`jnl`	Towards a Completeness Argumentation for Scenario Concepts. CoRR Christoph Glasmacher, Hendrik Weber, Lutz Eckstein
2024	—	`conf`	V2AIX: A Multi-Modal Real-World Dataset of ETSI ITS V2X Messages in Public Road Traffic. ITSC Guido Küppers, Jean-Pierre Busch, Lennart Reiher, Lutz Eckstein
2024	J	`jnl`	V2AIX: A Multi-Modal Real-World Dataset of ETSI ITS V2X Messages in Public Road Traffic. CoRR Guido Küppers, Jean-Pierre Busch, Lennart Reiher, Lutz Eckstein
2024	C	`conf`	scenario.center: Methods from Real-world Data to a Scenario Database. IV Michael Schuldes, Christoph Glasmacher, Lutz Eckstein
2024	J	`jnl`	scenario.center: Methods from Real-world Data to a Scenario Database. CoRR Michael Schuldes, Christoph Glasmacher, Lutz Eckstein
2023	—	`conf`	Acquire Driving Scenarios Efficiently: A Framework for Prospective Assessment of Cost-Optimal Scenario Acquisition. ITSC Christoph Glasmacher, Michael Schuldes, Hendrik Weber, Nicolas Wagener, Lutz Eckstein
2023	J	`jnl`	Acquire Driving Scenarios Efficiently: A Framework for Prospective Assessment of Cost-Optimal Scenario Acquisition. CoRR Christoph Glasmacher, Michael Schuldes, Hendrik Weber, Nicolas Wagener, Lutz Eckstein
2023	C	`conf`	Combined Registration and Fusion of Evidential Occupancy Grid Maps for Live Digital Twins of Traffic. IV Raphael van Kempen, Laurenz Adrian Heidrich, Bastian Lampe, Timo Woopen, Lutz Eckstein
2023	J	`jnl`	Combined Registration and Fusion of Evidential Occupancy Grid Maps for Live Digital Twins of Traffic. CoRR Raphael van Kempen, Laurenz Adrian Heidrich, Bastian Lampe, Timo Woopen, Lutz Eckstein
2023	—	`conf`	Economic Analysis of Smart Roadside Infrastructure Sensors for Connected and Automated Mobility. ITSC Laurent Kloeker, Gregor Joeken, Lutz Eckstein
2023	J	`jnl`	Enabling the Deployment of Any-Scale Robotic Applications in Microservice Architectures through Automated Containerization. CoRR Jean-Pierre Busch, Lennart Reiher, Lutz Eckstein
2023	—	`conf`	Enhancing Lidar-Based Object Detection in Adverse Weather Using Offset Sequences in Time. ICECET Raphael van Kempen, Tim Rehbronn, Abin Jose, Johannes Stegmaier, Bastian Lampe, Timo Woopen, Lutz Eckstein
2023	J	`jnl`	Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps. CoRR Till Beemelmanns, Wassim Zahr, Lutz Eckstein
2023	C	`conf`	FPGA-based Acceleration of Lidar Point Cloud Processing and Detection on the Edge. IV Cecilia Latotzke, Amarin Kloeker, Simon Schoening, Fabian Kemper, Mazen Slimi, Lutz Eckstein, Tobias Gemmeke
2023	C	`conf`	Framework for Quality Evaluation of Smart Roadside Infrastructure Sensors for Automated Driving Applications. IV Laurent Kloeker, Chenghua Liu, Chao Wei, Lutz Eckstein
2023	J	`jnl`	Framework for Quality Evaluation of Smart Roadside Infrastructure Sensors for Automated Driving Applications. CoRR Laurent Kloeker, Chenghua Liu, Chao Wei, Lutz Eckstein
2023	C	`conf`	Generation of Concrete Parameters from Logical Urban Driving Scenarios Based on Hybrid Graphs. VEHITS Christoph Glasmacher, Hendrik Weber, Michael Schuldes, Nicolas Wagener, Lutz Eckstein
2023	C	`conf`	Holistic Driving Scenario Concept for Urban Traffic. IV Hendrik Weber, Christoph Glasmacher, Michael Schuldes, Nicolas Wagener, Lutz Eckstein
2023	—	`conf`	Open-Source Tool Based Framework for Automated Performance Evaluation of an AD Function. ICECET Sanath Konthala, Daniel Becker, Lutz Eckstein
2023	—	`conf`	RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS. ITSC Bastian Lampe, Lennart Reiher, Lukas Zanger, Timo Woopen, Raphael van Kempen, Lutz Eckstein
2023	J	`jnl`	RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS. CoRR Bastian Lampe, Lennart Reiher, Lukas Zanger, Timo Woopen, Raphael van Kempen, Lutz Eckstein
2023	—	`conf`	Scalable Real-Time Multi Object Tracking for Automated Driving Using Intelligent Infrastructure. ICECET Fabian Thomsen, Maximilian Ortmann, Lutz Eckstein
2023	—	`conf`	Sim-to-Real Domain Adaptation of Infrastructure Sensor Lidar Point Clouds using Generative Adversarial Networks. ICECET Amarin Kloeker, Yangyi Liu, Mischa Maier, Lutz Eckstein
2023	J	`jnl`	Simulative Performance Analysis of an AD Function with Road Network Variation. CoRR Daniel Becker, Guido Küppers, Lutz Eckstein
2022	C	`conf`	3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods. IV Till Beemelmanns, Yuchen Tao, Bastian Lampe, Lennart Reiher, Raphael van Kempen, Timo Woopen, Lutz Eckstein
2022	J	`jnl`	An Automated Analysis Framework for Trajectory Datasets. CoRR Christoph Glasmacher, Robert Krajewski, Lutz Eckstein
2022	J	`jnl`	Data-Driven Occupancy Grid Mapping using Synthetic and Real-World Data. CoRR Raphael van Kempen, Bastian Lampe, Lennart Reiher, Timo Woopen, Till Beemelmanns, Lutz Eckstein
2022	J	`jnl`	EMMI: Empathic Human-Machine Interaction for Establishing Trust in Automated Driving. CoRR Tobias Oetermann, Pia S. C. Dautzenberg, Gudrun Mechthild Irmgard Voß, Christopher Brockmeier, Stefan Ladwig, Patrick Gebhard, Tanja Schneeberger, Markus Funk, Raymond Brueckner, Felix Schäfer, Norbert Helff, Andreas Gomer, Lutz Eckstein
2022	J	`jnl`	Enabling Connectivity for Automated Mobility: A Novel MQTT-based Interface Evaluated in a 5G Case Study on Edge-Cloud Lidar Object Detection. CoRR Lennart Reiher, Bastian Lampe, Timo Woopen, Raphael van Kempen, Till Beemelmanns, Lutz Eckstein
2022	—	`conf`	Generic Approach to Optimized Placement of Smart Roadside Infrastructure Sensors Using 3D Digital Maps. ITSC Laurent Kloeker, Julian Quakernack, Bastian Lampe, Lutz Eckstein
2022	J	`jnl`	Road Network Variation Based on HD Map Analysis for the Simulative Safety Assurance of Automated Vehicles. CoRR Daniel Becker, Christian Geller, Lutz Eckstein
2022	C	`conf`	Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection. IV Mohsen Vadidar, Ali Kariminezhad, Christian Mayr, Laurent Kloeker, Lutz Eckstein
2022	J	`jnl`	Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection. CoRR Mohsen Vadidar, Ali Kariminezhad, Christian Mayr, Laurent Kloeker, Lutz Eckstein
2022	C	`conf`	The exiD Dataset: A Real-World Trajectory Dataset of Highly Interactive Highway Scenarios in Germany. IV Tobias Moers, Lennart Vater, Robert Krajewski, Julian Bock, Adrian Zlocki, Lutz Eckstein
2021	J	`jnl`	6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment. IEEE Access 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
2021	J	`jnl`	A Review of Testing Object-Based Environment Perception for Safe Automated Driving. CoRR Michael Hoss, Maike Scholtes, Lutz Eckstein
2021	C	`conf`	A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping. IV Raphael van Kempen, Bastian Lampe, Timo Woopen, Lutz Eckstein
2021	J	`jnl`	A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping. CoRR Raphael van Kempen, Bastian Lampe, Timo Woopen, Lutz Eckstein
2021	J	`jnl`	A data-driven approach towards the full anthropometric measurements prediction via Generalized Regression Neural Networks. Appl. Soft Comput. Lining Wang, Tien Ju Lee, Jan Bavendiek, Lutz Eckstein
2021	C	`conf`	Aggregation of Road Characteristics from Online Maps and Evaluation of Datasets. IV Johannes Hiller, Fabian Müller, Lutz Eckstein
2021	—	`conf`	An Expert Informed Approach to Assess Challenges in Automotive HMI Development and Their Implications on Development Processes. AHFE (12) Jan Bavendiek, Teresa Koch, Christopher Brockmeier, Lutz Eckstein
2021	C	`conf`	Comparison of Camera-Equipped Drones and Infrastructure Sensors for Creating Trajectory Datasets of Road Users. VEHITS Amarin Kloeker, Robert Krajewski, Lutz Eckstein
2021	J	`jnl`	Corridor for new mobility Aachen-Düsseldorf: Methods and concepts of the research project ACCorD. CoRR 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
2021	—	`conf`	Drone-based Generation of Sensor Reference and Training Data for Highly Automated Vehicles. ITSC Robert Krajewski, Lennart Vater, Marvin Klimke, Tobias Moers, Julian Bock, Lutz Eckstein
2021	J	`jnl`	Highly accurate digital traffic recording as a basis for future mobility research: Methods and concepts of the research project HDV-Mess. CoRR Laurent Kloeker, Fabian Thomsen, Lutz Eckstein, Philip Trettner, Tim Elsner, Julius Nehring-Wirxel, Kersten Schuster, Leif Kobbelt, Michael Hoesch
2021	—	`conf`	Investigating Kinematic Parameters of a Turning Seat as a Haptic and Kinesthetic HMI to Support the Take-Over Request in Automated Driving. AHFE (12) Steffen Jochum, Lotte Saupp, Jan Bavendiek, Christopher Brockmeier, Lutz Eckstein
2021	—	`conf`	Utilization and Potentials of Unmanned Aerial Vehicles (UAVs) in the Field of Automated Driving: A Survey. ICVISP Laurent Kloeker, Tobias Moers, Lennart Vater, Adrian Zlocki, Lutz Eckstein
2020	J	`jnl`	6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment. CoRR 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
2020	—	`conf`	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 Lennart Reiher, Bastian Lampe, Lutz Eckstein
2020	J	`jnl`	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 Lennart Reiher, Bastian Lampe, Lutz Eckstein
2020	—	`conf`	Agile Requirement Engineering for a Cloud System for Automated and Networked Vehicles. ASD@DATE Armin Mokhtarian, Alexandru Kampmann, Bassam Alrifaee, Stefan Kowalewski, Bastian Lampe, Lutz Eckstein
2020	A	`conf`	Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping. IROS Daniel Bauer, Lars Kuhnert, Lutz Eckstein
2020	J	`jnl`	Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping. CoRR Daniel Bauer, Lars Kuhnert, Lutz Eckstein
2020	—	`conf`	Evaluating HMI-Development Approaches from an Automotive Perspective. HCI (32) Jan Bavendiek, Yannick Ostad, Lutz Eckstein
2020	—	`conf`	Generation of Complex Road Networks Using a Simplified Logical Description for the Validation of Automated Vehicles. ITSC Daniel Becker, Fabian Ruß, Christian Geller, Lutz Eckstein
2020	J	`jnl`	Generation of Complex Road Networks Using a Simplified Logical Description for the Validation of Automated Vehicles. CoRR Daniel Becker, Fabian Ruß, Christian Geller, Lutz Eckstein
2020	—	`conf`	High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups ITSC Laurent Kloeker, Christian Geller, Amarin Kloeker, Lutz Eckstein
2020	J	`jnl`	High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups. CoRR Laurent Kloeker, Christian Geller, Amarin Kloeker, Lutz Eckstein
2020	—	`conf`	Real-Time Point Cloud Fusion of Multi-LiDAR Infrastructure Sensor Setups with Unknown Spatial Location and Orientation. ITSC Laurent Kloeker, Christian Kotulla, Lutz Eckstein
2020	J	`jnl`	Real-Time Point Cloud Fusion of Multi-LiDAR Infrastructure Sensor Setups with Unknown Spatial Location and Orientation. CoRR Laurent Kloeker, Christian Kotulla, Lutz Eckstein
2020	C	`conf`	Reducing Uncertainty by Fusing Dynamic Occupancy Grid Maps in a Cloud-based Collective Environment Model. IV Bastian Lampe, Raphael van Kempen, Timo Woopen, Alexandru Kampmann, Bassam Alrifaee, Lutz Eckstein
2020	J	`jnl`	Reducing Uncertainty by Fusing Dynamic Occupancy Grid Maps in a Cloud-based Collective Environment Model. CoRR Bastian Lampe, Raphael van Kempen, Timo Woopen, Alexandru Kampmann, Bassam Alrifaee, Lutz Eckstein
2020	C	`conf`	The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections. IV Julian Bock, Robert Krajewski, Tobias Moers, Steffen Runde, Lennart Vater, Lutz Eckstein
2020	—	`conf`	The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany. ITSC Robert Krajewski, Tobias Moers, Julian Bock, Lennart Vater, Lutz Eckstein
2020	C	`conf`	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 Robert Krajewski, Michael Hoss, Adrian Meister, Fabian Thomsen, Julian Bock, Lutz Eckstein
2019	—	`conf`	A Dynamic Service-Oriented Software Architecture for Highly Automated Vehicles. ITSC Alexandru Kampmann, Bassam Alrifaee, Markus Kohout, Andreas Wüstenberg, Timo Woopen, Marcus Nolte, Lutz Eckstein, Stefan Kowalewski
2019	—	`conf`	A Novel Method for Designing Metaphor-Based Driver-Vehicle Interaction Concepts in Automated Vehicles. AHFE (13) Jan Bavendiek, Emily Oliveira, Lutz Eckstein
2019	—	`conf`	BézierVAE: Improved Trajectory Modeling using Variational Autoencoders for the Safety Validation of Highly Automated Vehicles. ITSC Robert Krajewski, Tobias Moers, Adrian Meister, Lutz Eckstein
2019	C	`conf`	Continuously Improving Model of Road User Movement Patterns using Recurrent Neural Networks at Intersections with Connected Sensors. VEHITS Julian Bock, Philipp Nolte, Lutz Eckstein
2019	C	`conf`	Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework. IV Daniel Bauer, Lars Kuhnert, Lutz Eckstein
2019	J	`jnl`	Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework. CoRR Daniel Bauer, Lars Kuhnert, Lutz Eckstein
2019	J	`jnl`	Deep, spatially coherent Occupancy Maps based on Radar Measurements. CoRR Daniel Bauer, Lars Kuhnert, Lutz Eckstein
2019	—	`conf`	Fail-Operational Steer-By-Wire System for Autonomous Vehicles. ICVES Minglu Li, Lutz Eckstein
2019	—	`conf`	Recognition and Pseudonymization of Data Privacy Relevant Areas in Videos for Compliance with GDPR. ITSC Johannes Hiller, Michael Schuldes, Lutz Eckstein
2019	J	`jnl`	The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections. CoRR Julian Bock, Robert Krajewski, Tobias Moers, Steffen Runde, Lennart Vater, Lutz Eckstein
2019	A	`conf`	VeGAN: Using GANs for Augmentation in Latent Space to Improve the Semantic Segmentation of Vehicles in Images From an Aerial Perspective. WACV Robert Krajewski, Tobias Moers, Lutz Eckstein
2018	—	`conf`	Data-Driven Maneuver Modeling using Generative Adversarial Networks and Variational Autoencoders for Safety Validation of Highly Automated Vehicles. ITSC Robert Krajewski, Tobias Moers, Dominik Nerger, Lutz Eckstein
2018	J	`jnl`	Kooperativ interagierende Automobile. Autom. Christoph Stiller, Wolfram Burgard, Barbara Deml, Lutz Eckstein, Frank Flemisch
2018	—	`conf`	Modelling Human Driver Performance for Safety Assessment of Road Vehicle Automation. ITSC Christian Roesener, Michael Harth, Hendrik Weber, Johanna Josten, Lutz Eckstein
2018	—	`conf`	The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems. ITSC Robert Krajewski, Julian Bock, Laurent Kloeker, Lutz Eckstein
2018	J	`jnl`	The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems. CoRR Robert Krajewski, Julian Bock, Laurent Kloeker, Lutz Eckstein
2018	B	`conf`	Trajectory optimization for Car-Like Vehicles in Structured and Semi-Structured Environments. Intelligent Vehicles Symposium Clemens Nietzschmann, Sebastian Klaudt, Christoph Klas, Devid Will, Lutz Eckstein
2017	B	`conf`	A-priori map information and path planning for automated valet-parking. Intelligent Vehicles Symposium Sebastian Klaudt, Adrian Zlocki, Lutz Eckstein
2017	—	`conf`	How safe is automated driving? Human driver models for safety performance assessment. ITSC Christian Roesener, Johannes Hiller, Hendrik Weber, Lutz Eckstein
2017	B	`conf`	Privacy and initial information in automated driving - Evaluation of information demands and data sharing concerns. Intelligent Vehicles Symposium Johanna Josten, Teresa Schmidt, Ralf Philipsen, Lutz Eckstein, Martina Ziefle
2016	—	`conf`	A scenario-based assessment approach for automated driving by using time series classification of human-driving behaviour. ITSC Christian Roesener, Felix Fahrenkrog, Axel Uhlig, Lutz Eckstein
2016	B	`conf`	Decoupled cooperative trajectory optimization for connected highly automated vehicles at urban intersections. Intelligent Vehicles Symposium Robert Krajewski, Philipp Themann, Lutz Eckstein
2016	J	`jnl`	Optimal Control of Series Plug-In Hybrid Electric Vehicles Considering the Cabin Heat Demand. IEEE Trans. Control. Syst. Technol. Jorg Gissing, Philipp Themann, Sidney Baltzer, Thomas Lichius, Lutz Eckstein
2015	B	`conf`	Impact of positioning uncertainty of vulnerable road users on risk minimization in collision avoidance systems. Intelligent Vehicles Symposium Philipp Themann, Jens Kotte, Dominik Raudszus, Lutz Eckstein
2014	—	`conf`	Definition of an embedded driver model for driving behavior prediction within the DESERVE platform. ICSAMOS Jens Klimke, Philipp Themann, Christoph Klas, Lutz Eckstein
2014	B	`conf`	Discrete dynamic optimization in automated driving systems to improve energy efficiency in cooperative networks. Intelligent Vehicles Symposium Philipp Themann, Robert Krajewski, Lutz Eckstein
2014	B	`conf`	Improving and simplifying the generation of reference trajectories by usage of road-aligned coordinate systems. Intelligent Vehicles Symposium Janek Hudecek, Lutz Eckstein
2014	B	`conf`	Integration of micro-CHP units into BEVs - Influence on the overall efficiency, emissions and the electric driving range. Intelligent Vehicles Symposium Sidney Baltzer, Jorg Gissing, Peter Jeck, Thomas Lichius, Lutz Eckstein
2013	—	`conf`	Optimal vehicle dynamics control for combined longitudinal and lateral autonomous vehicle guidance. ECC Alexander Katriniok, Jan P. Maschuw, Frederic Christen, Lutz Eckstein, Dirk Abel
2013	B	`conf`	Sensitivity analysis for model based fusion of camera systems with navigation data. Intelligent Vehicles Symposium Marc Wimmershoff, Christoph Klas, Adrian Zlocki, Lutz Eckstein
2012	—	`conf`	Effects of ACC and FCW on Speed, Fuel Consumption, and Driving Safety. VTC Fall Mohamed Benmimoun, Andreas Pütz, Adrian Zlocki, Lutz Eckstein
2012	B	`conf`	Modular approach to energy efficient driver assistance incorporating driver acceptance. Intelligent Vehicles Symposium Philipp Themann, Lutz Eckstein
2009	—	`conf`	The New BMW iDrive - Applied Processes and Methods to Assure High Usability. HCI (11) Bernhard Niedermaier, Stephan Durach, Lutz Eckstein, Andreas Keinath