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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 ...
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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. ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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
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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 ...
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Backcasting and a New Way of Command in Computational Design 

Koenig, Reinhard; Schmitt, Gerhard (2016)
It’s not uncommon that analysis and simulation methods are used mainly to evaluate finished designs and to proof their quality. Whereas the potential of such methods is to lead or control a design process from the beginning ...
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