ICT in road vehicles - The VehicleICT platform. - László Lengyel; Péter Ekler; Tamas Ujj; Tamas Balogh; Hassan Charaf; Zsolt Szalay; László Jereb (MT-ITS, 2015)

ICT in road vehicles - Reliable vehicle sensor information from OBD versus CAN. - Zsolt Szalay; Zoltan Kanya; László Lengyel; Péter Ekler; Tamas Ujj; Tamas Balogh; Hassan Charaf (MT-ITS, 2015)

Efficient lossless compression of CAN traffic logs. - András Gazdag; Levente Buttyán; Zsolt Szalay (SoftCOM, 2017)

RECAR: Hungarian Research Centre for Autonomous Road Vehicles is on the Way. - Zsolt Szalay; Domokos Esztergár-Kiss; Tamás Tettamanti; Péter Gáspár; István Varga (ERCIM News, 2017)

Detection of Injection Attacks in Compressed CAN Traffic Logs. - András Gazdag; Dóra Neubrandt; Levente Buttyán; Zsolt Szalay (ISSA/CSITS@ESORICS, 2018)

A Multi-layer Autonomous Vehicle and Simulation Validation Ecosystem Axis: ZalaZONE. - Zsolt Szalay; Zoltán Hamar; Peter Simon (IAS, 2018)

Safety & Security in the Context of Autonomous Driving. - Manuel Koschuch; Walter Sebron; Zsolt Szalay; Árpád Török; Hans Tschürtz; István Wahl (ICCVE, 2019)

Proof of concept for Scenario-in-the-Loop (SciL) testing for autonomous vehicle technology. - Zsolt Szalay; Mátyás Szalai; Bálint Tóth; Tamás Tettamanti; Viktor Tihanyi (ICCVE, 2019)

Extracting Vehicle Sensor Signals from CAN Logs for Driver Re-identification. - Szilvia Lestyan; Gergely Ács; Gergely Biczók; Zsolt Szalay (ICISSP, 2019)

Proving Ground Test of a DDPG-based Vehicle Trajectory Planner. - Árpád Fehér; Szilárd Aradi; Tamás Bécsi; Péter Gáspár; Zsolt Szalay (ECC, 2020)

Implementation and experimental evaluation of a MIMO drifting controller on a test vehicle. - Ádám Bárdos; Ádám Domina; Viktor Tihanyi; Zsolt Szalay; László Palkovics (IV, 2020)

Practical 5G KPI Measurement Results on a Non-Standalone Architecture. - Gábor Soós; Dániel Ficzere; Pál Varga; Zsolt Szalay (NOMS, 2020)

Conflicts of Automated Driving With Conventional Traffic Infrastructure. - Henrietta Lengyel; Tamás Tettamanti; Zsolt Szalay (IEEE Access, 2020)

Raw fusion of camera and sparse LiDAR for detecting distant objects. - András Rövid; Viktor Remeli; Zsolt Szalay (Autom., 2020)

Modelling the effects of certain cyber-attack methods on urban autonomous transport systems, case study of Budapest. - Árpád Török; Zsolt Szalay; Gábor Uti; Bence Verebélyi (J. Ambient Intell. Humaniz. Comput., 2020)

5G-Enabled Autonomous Driving Demonstration with a V2X Scenario-in-the-Loop Approach. - Zsolt Szalay; Dániel Ficzere; Viktor Tihanyi; Ferenc Magyar; Gábor Soós; Pál Varga (Sensors, 2020)

Real-life V2X Measurement Results for 5G NSA Performance on a High-speed Motorway. - Dániel Ficzere; Gábor Soós; Pál Varga; Zsolt Szalay (IM, 2021)

Ranking the Key Areas for Autonomous Proving Ground Development Using Pareto Analytic Hierarchy Process. - Szabolcs Duleba; Tamás Tettamanti; Ádám Nyerges; Zsolt Szalay (IEEE Access, 2021)

Next Generation X-in-the-Loop Validation Methodology for Automated Vehicle Systems. - Zsolt Szalay (IEEE Access, 2021)

A collection of easily deployable adversarial traffic sign stickers. - Henrietta Lengyel; Viktor Remeli; Zsolt Szalay (Autom., 2021)

A survey of new orientations in the field of vehicular cybersecurity, applying artificial intelligence based methods. - Zsombor Petho; Árpád Török; Zsolt Szalay (Trans. Emerg. Telecommun. Technol., 2021)

A new methodology for analyzing vehicle network topologies for critical hacking. - Maen Ghadi; Ádám Sali; Zsolt Szalay; Árpád Török (J. Ambient Intell. Humaniz. Comput., 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)

Significance of Image Features in Camera-LiDAR Based Object Detection. - Mihály Csonthó; András Rövid; Zsolt Szalay (IEEE Access, 2022)

New Aspects of Integrity Levels in Automotive Industry-Cybersecurity of Automated Vehicles. - Árpád Török; Zsolt Szalay; Balázs Sághi (IEEE Trans. Intell. Transp. Syst., 2022)

Safety risk focused analysis of V2V communication especially considering cyberattack sensitive network performance and vehicle dynamics factors. - Zsombor Petho; Zsolt Szalay; Árpád Török (Veh. Commun., 2022)

Digital Map Generation Workflow Demonstrated on ZalaZONE Automotive Proving Ground Elements. - Árpád Somogyi; Tamás Tettamanti; Pál Varga; Zsolt Szalay; Dániel Baranyai; Tamas Lovas (NOMS, 2023)

Critical Scenario Identification Concept: The Role of the Scenario-in-the-Loop Approach in Future Automotive Testing. - Zsolt Szalay (IEEE Access, 2023)

Digital Twin and Cloud Based Remote Control of Vehicles. - András Rövid; Viktor Tihanyi; Márton Cserni; Mihály Csonthó; Ádám Domina; Viktor Remeli; Zsolt Vincze; Mátyás Szántó; Mátyás Szalai; Szabolcs Nagy; Zsolt Szalay (MOST, 2024)

A numerical verification method for multi-class feed-forward neural networks. - Daniel Grimm; Dávid Tollner; David Kraus; Árpád Török; Eric Sax; Zsolt Szalay (Expert Syst. Appl., 2024)

Quantifying Cyber Risks: The Impact of DoS Attacks on Vehicle Safety in V2X Networks. - Zsombor Petho; Tamás Márton Kazár; Zsolt Szalay; Árpád Török (IEEE Trans. Intell. Transp. Syst., 2024)

Network and Vehicle Digital Twins for Hardware in the Loop Simulation of C-ITS Applications. - Andrea Marchetta; Tamás Márton Kazár; Marcello Cinque; Angelo Coppola; Zsombor Petho; Zsolt Szalay; Árpád Török (DSN-W, 2025)

Artificial Intelligence Based High Definition Map Generation From Mobile Mapping Data. - Árpád Somogyi; Dániel Baranyai; Mohammad Dowajy; Tamas Lovas; Zsolt Szalay; Tamás Tettamanti (IEEE Access, 2025)