• Collaboration Possibilities for Autonomous Industrial Transport Vehicles 

  Bohács, Gábor; Horváth, András Máté (2022)

  Autonomous industrial transport vehicles are already in operation in the industry, but the area is very rich in further development topics. Collaboration among these vehicles makes up a special problem. First, this paper ...

• Testing and Validation of the FRC08 Formula Student Race Car at the ZalaZONE Automotive Test Track 

  Farkas, Zsolt (2022)

  The development and adjustment process of a race car consists of countless steps that require a lot of decisions to be made. These decisions can only be effective if we have the right amount and quality of information. A ...

• Conflict Management Algorithms Development Using the Automated Framework for Autonomous Vehicles 

  Sziroczák, Dávid; Rohács, Dániel (2022)

  The fields of autonomous ground and aerial vehicles are a young, dynamically expanding field of industry. The current traffic management solutions are inadequate to support the predicted high volume of operations efficiently ...

• Control Design of an Autonomous Moving Platform for Test Tracks 

  Kocsány, László; Markovits, Gergely Tibor (2022)

  In recent years, artificial intelligence, deep learning, and computer vision systems have paved the way for the development of various self-driving vehicles. The risk of testing these vehicles is not negligible, given the ...

• Predictive Maintenance in Distributed Environments 

  Sik, Dávid; Ekler, Péter; Levendovszky, János (2022)

  In this paper we present a concept to implement predictive maintenance in distributed environments. A distributed environment can involve several problems to be solved such as the different speed and frequency of data, the ...

• Establishment of a Local GNSS Correction Service for the Localization of Autonomous Vehicles 

  Rózsa, Szabolcs; Ács, Ágnes; Turák, Bence (2022)

  Accurate localization of autonomous vehicles is a key component of the onboard control and guidance system. Global Navigation Satellite Systems (GNSS) are widely used in the transportation industry for positioning and navigation

• Double Lane Change Path Planning Using Reinforcement Learning with Field Tests 

  Fehér, Árpád; Aradi, Szilárd; Bécsi, Tamás (2022)

  Performing dynamic double lane-change maneuvers can be a challenge for highly automated vehicles. The algorithm must meet safety requirements while keeping the vehicle stable and controllable. The problem of path planning ...

• Point Cloud Based Road Surface Modelling and Assessment 

  Lovas, Tamás; Baranyai, Dániel; Somogyi, Árpád (2022)

  Creating digital twins of the built environment based on point clouds broadens its application area; point clouds of buildings support BIM (Building Information Modeling) while the digital twins of road surfaces support ...

• Routing Algorithms for Wireless Sensor Networks in Smart Cities 

  Pásztor, Dániel; Ekler, Péter; Levendovszky, János (2022)

  Wireless Sensor Networks (WSNs) are one of the most important parts of the advancements in smart city planning. The sensors provide valuable data about various metrics

• Automotive Proving Ground HD Map Models 

  Panker, Dániel; Tettamanti, Tamás (2022)

  Self-driving vehicles also need maps - just like us drivers - for route plans, but traditional maps are often inaccurate and contain significantly less information than so-called High Definition Maps (HD). HD maps are ...

• Initiation and Stabilization of Drifting Motion of a Self-driving Vehicle with a Reinforcement Learning Agent 

  Tóth, Szilárd Hunor; Bárdos, Ádám; Viharos, Zsolt János (2022)

  Performing special driving techniques like drifting can be challenging even for professional human drivers. However, such maneuvers can be essential for avoiding accidents in critical road scenarios like evasive maneuvers. ...

• Development of a GNSS Based High Accuracy Measurement System to Support Vehicle Dynamics Testing 

  Fehér, Árpád; Kardos, Gábor; Szabó, Ádám; Aradi, Szilárd (2022)

  The article presents the development of a low-budget positioning device that aims to provide an alternative in self-driving vehicle development research that could replace costly, commercially available devices. In addition ...

• Test Automation – From Virtual Scenario Creation to Real-world Testing 

  Horváth, Áron; Tettamanti, Tamás (2022)

  As advanced driver assistance systems (ADAS) are continuously upgrading, the testing standards, descriptions are evolving as well. The border disappears more and more between simulation and real-world testing. For more ...

• Design of a Novel Road Traffic Control System for ZalaZONE Proving Ground 

  Tettamanti, Tamás; Varga, István (2022)

  The testing of Connected and Automated Vehicles (CAVs) and that of the smart infrastructure (traffic control devices and vehicle sensors) in relation with CAVs will be supported by the development of a novel type of road ...

• Teleoperation with a Real-time Digital Twin 

  Remeli, Viktor; Boronyák, Ádám; Tihanyi, Viktor (2022)

  One of the state-of-the-art trends in intelligent transportation systems research is the development of real-time digital twin technologies and their applications for increased safety and autonomy on the roads. The areas ...

• Simulation of Road Traffic Accidents Related to ADAS Systems in PreScan 

  Kazár, Tamás Márton; Pethő, Zsombor; Vida, Gábor; Török, Árpád (2022)

  This paper describes a simulation of a specific accident reconstructed in PreScan software. Through this, we show that the PreScan software can be efficiently applied in accident reconstruction, particularly the operation ...

• On-Site Test Measurements at ZalaZONE Automotive Proving Ground for Aiding Various Research Projects 

  Vincze, Zsolt; Rövid, András (2022)

  The ZalaZONE Automotive Proving Ground can provide multiple controlled and safe test environments which becomes essential when various measurements and field tests are required for different vehicle-related scientific ...

• 3D Object Detection in LIDAR Point Cloud Based on Background Subtraction 

  Nagy, Szabolcs; Rövid, András (2022)

  Autonomous vehicles have a key role in transportation systems of the future, but there are still many difficulties to overcome. Nowadays one of the most critical problems in autonomous driving is the precise and robust ...

• Model Predictive Controller for Path Following Applications 

  Domina, Ádám; Tihanyi, Viktor (2022)

  In this article, a model predictive controller (MPC) for automated vehicle path following is presented. The MPC calculates the optimal steering command based on the prediction of the future states of the vehicle and the ...

• Development of 3D Visualization for Displaying Real-time Sensor Information from Multiple Sources 

  Szalai, Mátyás; Remeli, Viktor; Tihanyi, Viktor (2022)

  For modern scientific results, it is increasingly challenging to present them in a form that the general public can understand. This is particularly true in the field of collaborative intelligent transportation services ...

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