Arno Eichberger
Orcid: 0000-0001-8246-8085
According to our database1,
Arno Eichberger
authored at least 27 papers
between 2014 and 2023.
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Bibliography
2023
A Novel Approach for Simulation of Automotive Radar Sensors Designed for Systematic Support of Vehicle Development.
Sensors, March, 2023
Hazards Identification Using Scenario-Based Testing with Respect to ISO PAS 21448 and ISO 26262.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Criticality Assessment Method for Automated Driving Systems by Introducing Fictive Vehicles and Variable Criticality Thresholds.
Sensors, 2022
A Survey on Modelling of Automotive Radar Sensors for Virtual Test and Validation of Automated Driving.
Sensors, 2022
Impact of Road Marking Retroreflectivity on Machine Vision in Dry Conditions: On-Road Test.
Sensors, 2022
Race Driver Evaluation at a Driving Simulator using a physical Model and a Machine Learning Approach.
CoRR, 2022
Corrections to "Automated Lane Change Featuring Re-Planning in Dynamic Environments and Sensitivity Analysis of Main Operational Parameters".
IEEE Access, 2022
Automated Lane Change Featuring Re-Planning in Dynamic Environments and Sensitivity Analysis of Main Operational Parameters.
IEEE Access, 2022
Transnational Testing, Operation and Certification of Automated Driving Systems: Perspective from testEPS and Central System EUREKA Projects.
Proceedings of the International Conference on Connected Vehicle and Expo, 2022
2021
Motorway Measurement Campaign to Support R&D Activities in the Field of Automated Driving Technologies.
Sensors, 2021
Advanced Lane Detection Model for the Virtual Development of Highly Automated Functions.
CoRR, 2021
Investigations on Model Predictive Control Objectives for Motion Cueing Algorithms in Motorsport Driving Simulators.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
A Real-time Co-Simulation Framework for Virtual Test and Validation on a High Dynamic Vehicle Test Bed.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Measuring trust in automated driving using a multi-level approach to human factors<sup>*</sup>.
Proceedings of the 24th Euromicro Conference on Digital System Design, 2021
2020
Applying deep neural networks for multi-level classification of driver drowsiness using Vehicle-based measures.
Expert Syst. Appl., 2020
IEEE Access, 2020
Driver Drowsiness Classification Using Data Fusion of Vehicle-based Measures and ECG Signals.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Phenomenological Modelling of Lane Detection Sensors for Validating Performance of Lane Keeping Assist Systems.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
2019
Driver Drowsiness Detection Based on Steering Wheel Data Applying Adaptive Neuro-Fuzzy Feature Selection.
Sensors, 2019
Proceedings of the 19th IEEE International Conference on Software Quality, 2019
Driver Detection from Objective Criteria Describing the Driving Style of Race Car Drivers.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Development of a Co-Simulation Framework for Systematic Generation of Scenarios for Testing and Validation of Automated Driving Systems.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2016
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2014
Data Fusion to Develop a Driver Drowsiness Detection System with Robustness to Signal Loss.
Sensors, 2014