Data Fusion to Develop a Driver Drowsiness Detection System with Robustness to Signal Loss. - Sajjad Samiee; Shahram Azadi; Reza Kazemi; Ali Nahvi; Arno Eichberger (Sensors, 2014)

Nonlinear adaptive observer for side slip angle and road friction estimation. - Liang Shao; Chi Jin; Cornelia Lex; Arno Eichberger (CDC, 2016)

Building a Driving Simulator with Parallax Barrier Displays. - Christoph Schinko; Markus Peer; Daniel Hammer; Matthias Pirstinger; Cornelia Lex; Ioana Koglbauer; Arno Eichberger; Jürgen Holzinger; Eva Eggeling; Dieter W. Fellner; Torsten Ullrich (VISIGRAPP (1: GRAPP), 2016)

Road friction estimation using Recursive Total Least Squares. - Liang Shao; Cornelia Lex; Andreas Hackl; Arno Eichberger (Intelligent Vehicles Symposium, 2016)

Development of a Co-Simulation Framework for Systematic Generation of Scenarios for Testing and Validation of Automated Driving Systems. - Demin Nalic; Arno Eichberger; Georg Hanzl; Martin Fellendorf; Branko Rogic (ITSC, 2019)

Driver Detection from Objective Criteria Describing the Driving Style of Race Car Drivers. - Lukas Wörle; Julian von Schleinitz; Michael Graf; Arno Eichberger (ITSC, 2019)

Automation in Hardware-in-the-Loop Units Development and Integration. - Nikolay Brayanov; Arno Eichberger (QRS Companion, 2019)

Driver Drowsiness Detection Based on Steering Wheel Data Applying Adaptive Neuro-Fuzzy Feature Selection. - Sadegh Arefnezhad; Sajjad Samiee; Arno Eichberger; Ali Nahvi (Sensors, 2019)

Phenomenological Modelling of Lane Detection Sensors for Validating Performance of Lane Keeping Assist Systems. - Michael Höber; Demin Nalic; Arno Eichberger; Sajjad Samiee; Zoltán Ferenc Magosi; Christian Payerl (IV, 2020)

Driver Drowsiness Classification Using Data Fusion of Vehicle-based Measures and ECG Signals. - Sadegh Arefnezhad; Arno Eichberger; Matthias Frühwirth; Clemens Kaufmann; Maximilian Moser (SMC, 2020)

Stress Testing Method for Scenario-Based Testing of Automated Driving Systems. - Demin Nalic; Hexuan Li; Arno Eichberger; Christoph Wellershaus; Aleksa Pandurevic; Branko Rogic (IEEE Access, 2020)

Grid Search Based Tire-Road Friction Estimation. - Liang Shao; Chi Jin; Arno Eichberger; Cornelia Lex (IEEE Access, 2020)

Applying deep neural networks for multi-level classification of driver drowsiness using Vehicle-based measures. - Sadegh Arefnezhad; Sajjad Samiee; Arno Eichberger; Matthias Frühwirth; Clemens Kaufmann; Emma Klotz (Expert Syst. Appl., 2020)

Measuring trust in automated driving using a multi-level approach to human factors*. - Philipp Clément; Herbert Danzinger; Omar Veledar; Clemens Könczöl; Georg Macher; Arno Eichberger (DSD, 2021)

A Real-time Co-Simulation Framework for Virtual Test and Validation on a High Dynamic Vehicle Test Bed. - Hexuan Li; Demin Nalic; Vamsi Makkapati; Arno Eichberger; Xuan Fang; Tamás Tettamanti (IV, 2021)

Investigations on Model Predictive Control Objectives for Motion Cueing Algorithms in Motorsport Driving Simulators. - Thomas Schwarzhuber; Michael Graf; Arno Eichberger (IV, 2021)

Advanced Lane Detection Model for the Virtual Development of Highly Automated Functions. - Philip Pannagger; Demin Nalic; Faris Orucevic; Arno Eichberger; Branko Rogic (CoRR, 2021)

Motorway Measurement Campaign to Support R&D Activities in the Field of Automated Driving Technologies. - Viktor Tihanyi; Tamás Tettamanti; Mihály Csonthó; Arno Eichberger; Dániel Ficzere; Kálmán Gangel; Leander B. Hörmann; Maria Anneliese Klaffenböck; Christoph Knauder; Patrick Luley; Zoltán Ferenc Magosi; Gábor Magyar; et al. (Sensors, 2021)

Dataset "TRYOUT" for Drowsiness Detection in Drivers. - Arno Eichberger; Sadegh Arefnezhad (TU Graz Repo, 2021)

Transnational Testing, Operation and Certification of Automated Driving Systems: Perspective from testEPS and Central System EUREKA Projects. - Jakob Reckenzaun; Luca Csanady; Arno Eichberger; Alexandre Engelstein; Leander B. Hörmann; Tamás Kiss; Patrick Luley; Matthias Rüther; Stefan Schwarz; Thomas Strasser-Krauss; Selim Solmaz; Gabor Soos; et al. (ICCVE, 2022)

Automated Lane Change Featuring Re-Planning in Dynamic Environments and Sensitivity Analysis of Main Operational Parameters. - Cornelia Lex; Demin Nalic; Sajjad Samiee; Arno Eichberger (IEEE Access, 2022)

Corrections to "Automated Lane Change Featuring Re-Planning in Dynamic Environments and Sensitivity Analysis of Main Operational Parameters". - Cornelia Lex; Sajjad Samiee; Antonio Glibusic; Demin Nalic; Arno Eichberger (IEEE Access, 2022)

Race Driver Evaluation at a Driving Simulator using a physical Model and a Machine Learning Approach. - Julian von Schleinitz; Thomas Schwarzhuber; Lukas Wörle; Michael Graf; Arno Eichberger; Wolfgang Trutschnig; Andreas Schröder 001 (CoRR, 2022)

Impact of Road Marking Retroreflectivity on Machine Vision in Dry Conditions: On-Road Test. - Darko Babic; Dario Babic; Mario Fiolic; Arno Eichberger; Zoltán Ferenc Magosi (Sensors, 2022)

A Survey on Modelling of Automotive Radar Sensors for Virtual Test and Validation of Automated Driving. - Zoltán Ferenc Magosi; Hexuan Li; Philipp Rosenberger; Li Wan; Arno Eichberger (Sensors, 2022)

Criticality Assessment Method for Automated Driving Systems by Introducing Fictive Vehicles and Variable Criticality Thresholds. - Demin Nalic; Tomislav Mihalj; Faris Orucevic; Martin Schabauer; Cornelia Lex; Wolfgang Sinz; Arno Eichberger (Sensors, 2022)

Dataset "FULL" for Drowsiness Detection in Drivers. - Arno Eichberger; Sadegh Arefnezhad (TU Graz Repo, 2022)

Dataset "SMALL" for Drowsiness Detection in Drivers. - Arno Eichberger; Sadegh Arefnezhad (TU Graz Repo, 2022)

Dataset "FULL" for Drowsiness Detection in Drivers. - Arno Eichberger; Sadegh Arefnezhad (TU Graz Repo, 2022)

Hazards Identification Using Scenario-Based Testing with Respect to ISO PAS 21448 and ISO 26262. - Tomislav Mihalj; Demin Nalic; Sadegh Arefnezhad; Arno Eichberger (ITSC, 2023)

A Novel Approach for Simulation of Automotive Radar Sensors Designed for Systematic Support of Vehicle Development. - Zoltán Ferenc Magosi; Arno Eichberger (Sensors, 2023)

Validation of Adaptive Cruise Control based on Model Predictive Control for Autonomous Vehicles in Real-Time System. - Duc-Tien Bui; Hung Duy Nguyen; Zhengguo Gu; Arno Eichberger (CoDIT, 2024)

Chat2Scenario: Scenario Extraction From Dataset Through Utilization of Large Language Model. - Yongqi Zhao; Wenbo Xiao; Tomislav Mihalj; Jia Hu 003; Arno Eichberger (IV, 2024)

Human-Machine Shared Control Approach for the Takeover of Cooperative Adaptive Cruise Control. - Haoran Wang 002; Zhenning Li; Arno Eichberger; Jia Hu 003 (CoRR, 2024)

A Survey on the Application of Large Language Models in Scenario-Based Testing of Automated Driving Systems. - Yongqi Zhao; Ji Zhou; Dong Bi; Tomislav Mihalj; Jia Hu 003; Arno Eichberger (CoRR, 2025)

MAFF-Net: Enhancing 3D Object Detection With 4D Radar via Multi-Assist Feature Fusion. - Xin Bi; Caien Weng; Panpan Tong; Baojie Fan; Arno Eichberger (IEEE Robotics Autom. Lett., 2025)

A Communication-Latency-Aware Co-Simulation Platform for Safety and Comfort Evaluation of Cloud-Controlled ICVs. - Yongqi Zhao; Xinrui Zhang; Tomislav Mihalj; Martin Schabauer; Luis Putzer; Erik Reichmann-Blaga; Ádám Boronyák; András Rövid; Gábor Soós; Peizhi Zhang; Lu Xiong 001; Jia Hu 003; et al. (CoRR, 2025)

Toward a Full-Stack Co-Simulation Platform for Testing of Automated Driving Systems. - Dong Bi; Yongqi Zhao; Zhengguo Gu; Tomislav Mihalj; Jia Hu 003; Arno Eichberger (CoRR, 2025)

Prediction of Lane Change Intentions of Human Drivers using an LSTM, a CNN and a Transformer. - Francesco De Cristofaro; Felix Hofbaur; Aixi Yang; Arno Eichberger (CoRR, 2025)

A Dispatching Method for Demand Responsive Transit With Passengers' Hidden Preference Exploitation Capability. - Jia Hu 003; Yixuan Dong; Zihan Zhang; Guan Wang; Chang Liu 086; Arno Eichberger (IEEE Trans. Intell. Transp. Syst., 2025)