Lutz Eckstein
Affiliations:- RWTH Aachen University, Germany
According to our database1,
Lutz Eckstein
authored at least 77 papers
between 2009 and 2024.
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Bibliography
2024
V2AIX: A Multi-Modal Real-World Dataset of ETSI ITS V2X Messages in Public Road Traffic.
CoRR, 2024
MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection.
CoRR, 2024
Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time.
CoRR, 2024
2023
CoRR, 2023
Enabling the Deployment of Any-Scale Robotic Applications in Microservice Architectures through Automated Containerization.
CoRR, 2023
CoRR, 2023
Generation of Concrete Parameters from Logical Urban Driving Scenarios Based on Hybrid Graphs.
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, 2023
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Framework for Quality Evaluation of Smart Roadside Infrastructure Sensors for Automated Driving Applications.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Combined Registration and Fusion of Evidential Occupancy Grid Maps for Live Digital Twins of Traffic.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Economic Analysis of Smart Roadside Infrastructure Sensors for Connected and Automated Mobility.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Acquire Driving Scenarios Efficiently: A Framework for Prospective Assessment of Cost-Optimal Scenario Acquisition.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Road Network Variation Based on HD Map Analysis for the Simulative Safety Assurance of Automated Vehicles.
CoRR, 2022
Enabling Connectivity for Automated Mobility: A Novel MQTT-based Interface Evaluated in a 5G Case Study on Edge-Cloud Lidar Object Detection.
CoRR, 2022
EMMI: Empathic Human-Machine Interaction for Establishing Trust in Automated Driving.
CoRR, 2022
Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
The exiD Dataset: A Real-World Trajectory Dataset of Highly Interactive Highway Scenarios in Germany.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Generic Approach to Optimized Placement of Smart Roadside Infrastructure Sensors Using 3D Digital Maps.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
Corridor for new mobility Aachen-Düsseldorf: Methods and concepts of the research project ACCorD.
CoRR, 2021
Highly accurate digital traffic recording as a basis for future mobility research: Methods and concepts of the research project HDV-Mess.
CoRR, 2021
CoRR, 2021
A data-driven approach towards the full anthropometric measurements prediction via Generalized Regression Neural Networks.
Appl. Soft Comput., 2021
6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment.
IEEE Access, 2021
Comparison of Camera-Equipped Drones and Infrastructure Sensors for Creating Trajectory Datasets of Road Users.
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021
A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Drone-based Generation of Sensor Reference and Training Data for Highly Automated Vehicles.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Utilization and Potentials of Unmanned Aerial Vehicles (UAVs) in the Field of Automated Driving: A Survey.
Proceedings of the 5th International Conference on Vision, Image and Signal Processing, 2021
Investigating Kinematic Parameters of a Turning Seat as a Haptic and Kinesthetic HMI to Support the Take-Over Request in Automated Driving.
Proceedings of the Advances in Human Aspects of Transportation, 2021
An Expert Informed Approach to Assess Challenges in Automotive HMI Development and Their Implications on Development Processes.
Proceedings of the Advances in Human Aspects of Transportation, 2021
2020
High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups.
CoRR, 2020
Reducing Uncertainty by Fusing Dynamic Occupancy Grid Maps in a Cloud-based Collective Environment Model.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
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.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
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.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Real-Time Point Cloud Fusion of Multi-LiDAR Infrastructure Sensor Setups with Unknown Spatial Location and Orientation.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups<sup>*</sup>.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Generation of Complex Road Networks Using a Simplified Logical Description for the Validation of Automated Vehicles.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the HCI in Mobility, Transport, and Automotive Systems. Automated Driving and In-Vehicle Experience Design, 2020
Agile Requirement Engineering for a Cloud System for Automated and Networked Vehicles.
Proceedings of the 2nd International Workshop on Autonomous Systems Design, 2020
2019
VeGAN: Using GANs for Augmentation in Latent Space to Improve the Semantic Segmentation of Vehicles in Images From an Aerial Perspective.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Continuously Improving Model of Road User Movement Patterns using Recurrent Neural Networks at Intersections with Connected Sensors.
Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems, 2019
Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
BézierVAE: Improved Trajectory Modeling using Variational Autoencoders for the Safety Validation of Highly Automated Vehicles.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Recognition and Pseudonymization of Data Privacy Relevant Areas in Videos for Compliance with GDPR.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the IEEE International Conference of Vehicular Electronics and Safety, 2019
A Novel Method for Designing Metaphor-Based Driver-Vehicle Interaction Concepts in Automated Vehicles.
Proceedings of the Advances in Human Factors of Transportation, 2019
2018
Trajectory optimization for Car-Like Vehicles in Structured and Semi-Structured Environments.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Data-Driven Maneuver Modeling using Generative Adversarial Networks and Variational Autoencoders for Safety Validation of Highly Automated Vehicles.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
2017
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
Privacy and initial information in automated driving - Evaluation of information demands and data sharing concerns.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
How safe is automated driving? Human driver models for safety performance assessment.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
2016
Optimal Control of Series Plug-In Hybrid Electric Vehicles Considering the Cabin Heat Demand.
IEEE Trans. Control. Syst. Technol., 2016
Decoupled cooperative trajectory optimization for connected highly automated vehicles at urban intersections.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016
A scenario-based assessment approach for automated driving by using time series classification of human-driving behaviour.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016
2015
Impact of positioning uncertainty of vulnerable road users on risk minimization in collision avoidance systems.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015
2014
Definition of an embedded driver model for driving behavior prediction within the DESERVE platform.
Proceedings of the XIVth International Conference on Embedded Computer Systems: Architectures, 2014
Discrete dynamic optimization in automated driving systems to improve energy efficiency in cooperative networks.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014
Improving and simplifying the generation of reference trajectories by usage of road-aligned coordinate systems.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014
Integration of micro-CHP units into BEVs - Influence on the overall efficiency, emissions and the electric driving range.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014
2013
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013
Optimal vehicle dynamics control for combined longitudinal and lateral autonomous vehicle guidance.
Proceedings of the 12th European Control Conference, 2013
2012
Proceedings of the 76th IEEE Vehicular Technology Conference, 2012
Modular approach to energy efficient driver assistance incorporating driver acceptance.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012
2009
Proceedings of the Digital Human Modeling, 2009