Zsolt Szalay

Orcid: 0000-0002-6172-5772

According to our database1, Zsolt Szalay authored at least 28 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

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

Digital Map Generation Workflow Demonstrated on ZalaZONE Automotive Proving Ground Elements.
Proceedings of the NOMS 2023, 2023

2022
Safety risk focused analysis of V2V communication especially considering cyberattack sensitive network performance and vehicle dynamics factors.
Veh. Commun., 2022

New Aspects of Integrity Levels in Automotive Industry-Cybersecurity of Automated Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

Significance of Image Features in Camera-LiDAR Based Object Detection.
IEEE Access, 2022

2021
Motorway Measurement Campaign to Support R&D Activities in the Field of Automated Driving Technologies.
Sensors, 2021

A new methodology for analyzing vehicle network topologies for critical hacking.
J. Ambient Intell. Humaniz. Comput., 2021

A survey of new orientations in the field of vehicular cybersecurity, applying artificial intelligence based methods.
Trans. Emerg. Telecommun. Technol., 2021

A collection of easily deployable adversarial traffic sign stickers.
Autom., 2021

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

Ranking the Key Areas for Autonomous Proving Ground Development Using Pareto Analytic Hierarchy Process.
IEEE Access, 2021

Real-life V2X Measurement Results for 5G NSA Performance on a High-speed Motorway.
Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

2020
5G-Enabled Autonomous Driving Demonstration with a V2X Scenario-in-the-Loop Approach.
Sensors, 2020

Modelling the effects of certain cyber-attack methods on urban autonomous transport systems, case study of Budapest.
J. Ambient Intell. Humaniz. Comput., 2020

Raw fusion of camera and sparse LiDAR for detecting distant objects.
Autom., 2020

Conflicts of Automated Driving With Conventional Traffic Infrastructure.
IEEE Access, 2020

Practical 5G KPI Measurement Results on a Non-Standalone Architecture.
Proceedings of the NOMS 2020, 2020

Implementation and experimental evaluation of a MIMO drifting controller on a test vehicle.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Proving Ground Test of a DDPG-based Vehicle Trajectory Planner.
Proceedings of the 18th European Control Conference, 2020

2019
Extracting Vehicle Sensor Signals from CAN Logs for Driver Re-identification.
Proceedings of the 5th International Conference on Information Systems Security and Privacy, 2019

Proof of concept for Scenario-in-the-Loop (SciL) testing for autonomous vehicle technology.
Proceedings of the 2019 IEEE International Conference on Connected Vehicles and Expo, 2019

Safety & Security in the Context of Autonomous Driving.
Proceedings of the 2019 IEEE International Conference on Connected Vehicles and Expo, 2019

2018
A Multi-layer Autonomous Vehicle and Simulation Validation Ecosystem Axis: ZalaZONE.
Proceedings of the Intelligent Autonomous Systems 15, 2018

Detection of Injection Attacks in Compressed CAN Traffic Logs.
Proceedings of the Security and Safety Interplay of Intelligent Software Systems, 2018

2017
RECAR: Hungarian Research Centre for Autonomous Road Vehicles is on the Way.
ERCIM News, 2017

Efficient lossless compression of CAN traffic logs.
Proceedings of the 25th International Conference on Software, 2017

2015
ICT in road vehicles - Reliable vehicle sensor information from OBD versus CAN.
Proceedings of the 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015

ICT in road vehicles - The VehicleICT platform.
Proceedings of the 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015


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