Arno Eichberger

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Associate Professor

Graz University of Technology

Austria

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Arno Eichberger is an Associate Professor at Technische Universität Graz in Austria. His research primarily focuses on advanced topics in autonomous vehicles, including decision-making policies for highway scenarios and enhancing perception sensor models. Notable recent articles include developments in 3D object detection using radar technology and methods for improving transit systems through demand-responsive strategies. His work contributes significantly to the field of intelligent transportation systems and automated driving solutions.

Recent Grants

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MueGen Driving

Open Date: 2013-07-01

Close Date: 2015-12-01

Arno Eichberger

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Recent Grants

Articles (21)

MAFF-Net: Enhancing 3D Object Detection With 4D Radar via Multi-Assist Feature Fusion

A Dispatching Method for Demand Responsive Transit With Passengers’ Hidden Preference Exploitation Capability

Human-Machine Shared Control Approach for the Takeover of Cooperative Adaptive Cruise Control

Enhancing Highway Driving: High Automated Vehicle Decision Making in a Complex Multi-Body Simulation Environment

Enhancing LiDAR Reliability Through Utilization of Premium Road Marking Materials

Multi-level and Metrics Evaluation Approach for Data-driven Based Sensor Models

Dynamic Right-of-Way Allocation on Bus Priority Lanes Considering Traffic System Resilience

Decision-Making Policy for Autonomous Vehicles on Highways Using Deep Reinforcement Learning (DRL) Method

Validation of Automated Driving Function Based on the Apollo Platform: A Milestone for Simulation with Vehicle-in-the-Loop Testbed

Automotive Radar Modeling for Virtual Simulation Based on Mixture Density Network

The Effect of Rainfall and Illumination on Automotive Sensors Detection Performance

A Novel Approach for Simulation of Automotive Radar Sensors Designed for Systematic Support of Vehicle Development

Evaluation of Perception Sensor Model Performance in Simulation based on Experimental Findings

Quantitative Analysis of the Impact of Baidu Apollo Parameterization on Trajectory Planning in a Critical Scenario

Lateral Control Calibration and Testing in a Co-Simulation Framework for Automated Vehicles

Criticality Assessment Method for Automated Driving Systems by Introducing Fictive Vehicles and Variable Criticality Thresholds

Improved Perception of Motorcycles by Simulator-Based Driving Education

Effects of Automation and Fatigue on Drivers from Various Age Groups

A Survey on Modelling of Automotive Radar Sensors for Virtual Test and Validation of Automated Driving

Advances in Automated Driving Systems

Evaluation Methodology for Physical Radar Perception Sensor Models Based on On-Road Measurements for the Testing and Validation of Automated Driving

Collaborators (7)

Ioana Koglbauer

Wolfgang Sinz

Ernst Tomasch

Martin Schabauer

Vamsi prakash Makkapati

Cornelia Lex

Zsolt Szalay

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