Guaranteed Peaks of Spacing Errors in an Experimental Vehicle String. - Gábor Rödönyi; Peter Gaspar; Jozsef Bokor; László Palkovics; Szilárd Aradi; Zoltán Hankovszki; Roland Kovács (ROCOND, 2012)

Design of predictive optimization method for energy-efficient operation of trains. - Szilárd Aradi; Tamás Bécsi; Péter Gáspár (ECC, 2014)

Design of wireless gateway between on-board vehicle wired networks and mobile devices. - Szilárd Aradi; Tamás Bécsi; Péter Gáspár; Gabor Barany; Adam Hajdu (ICCVE, 2014)

Experimental vehicle development for testing autonomous vehicle functions. - Szilárd Aradi; Tamás Bécsi; Peter Gaspar (MESA, 2014)

Design of an educational emulation framework for mechatronics control unit development. - Tamás Bécsi; Szilárd Aradi; Peter Gaspar (MESA, 2014)

Security issues and vulnerabilities in connected car systems. - Tamás Bécsi; Szilárd Aradi; Peter Gaspar (MT-ITS, 2015)

Educational Frameworks for Vehicle Mechatronics. - Tamás Bécsi; Szilárd Aradi; Peter Gaspar (IEEE Trans. Intell. Transp. Syst., 2015)

Policy Gradient Based Reinforcement Learning Approach for Autonomous Highway Driving. - Szilárd Aradi; Tamás Bécsi; Peter Gaspar (CCTA, 2018)

Control oriented modeling of an electro-pneumatic gearbox actuator. - Ádám Szabó; Tamás Bécsi; Peter Gaspar; Szilárd Aradi (ECC, 2018)

Control design of an electro-pneumatic gearbox actuator. - Ádám Szabó; Tamás Bécsi; Peter Gaspar; Szilárd Aradi (MESA, 2018)

Highway Environment Model for Reinforcement Learning ⁎. - Tamás Bécsi; Szilárd Aradi; Árpád Fehér; János Szalay; Péter Gáspár (SyRoCo, 2018)

Policy gradient based Reinforcement learning control design of an electro-pneumatic gearbox actuator ⁎. - Tamás Bécsi; Szilárd Aradi; Ádám Szabó; Péter Gáspár (SyRoCo, 2018)

IMM Bernoulli Gaussian Particle Filter ⁎. - Olivér Töro; Tamás Bécsi; Szilárd Aradi; Péter Gáspár (SyRoCo, 2018)

Hybrid DDPG Approach for Vehicle Motion Planning. - Árpád Fehér; Szilárd Aradi; Ferenc Hegedüs; Tamás Bécsi; Péter Gáspár (ICINCO (1), 2019)

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

Policy Gradient Based Control of a Pneumatic Actuator Enhanced with Monte Carlo Tree Search. - Bálint Kövári; Tamás Bécsi; Ádám Szabó; Szilárd Aradi (ICMRE, 2020)

Vehicle Control in Highway Traffic by Using Reinforcement Learning and Microscopic Traffic Simulation. - Laszlo Szoke; Szilárd Aradi; Tamás Bécsi; Peter Gaspar (SISY, 2020)

Reinforcement Learning Based Control Design for a Floating Piston Pneumatic Gearbox Actuator. - Tamás Bécsi; Ádám Szabó; Bálint Kövári; Szilárd Aradi; Péter Gáspár (IEEE Access, 2020)

Hierarchical Evasive Path Planning Using Reinforcement Learning and Model Predictive Control. - Árpád Fehér; Szilárd Aradi; Tamás Bécsi (IEEE Access, 2020)

MILP-Based Optimization of the Extended Real- Time Railway Traffic Management Problem. - László Lindenmaier; Szilárd Aradi; Tamás Bécsi; István Ferenc Lövétei (SACI, 2022)

Designing Reward Functions in Multi-Agent Reinforcement Learning for Intelligent Intersection Control. - Máté Kolat; Bálint Kövári; Tamás Bécsi; Szilárd Aradi (SISY, 2022)

Competitive Multi-Agent Reinforcement Learning for Traffic Signal Control. - Bálint Kövári; Máté Kolat; Tamás Bécsi; Szilárd Aradi (SISY, 2022)

Reward Design for Intelligent Intersection Control to Reduce Emission. - Bálint Kövári; Bálint Pelenczei; Szilárd Aradi; Tamás Bécsi (IEEE Access, 2022)

Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles. - Szilárd Aradi (IEEE Trans. Intell. Transp. Syst., 2022)

Skills to Drive: Successor Features for Autonomous Highway Pilot. - Laszlo Szoke; Szilárd Aradi; Tamás Bécsi; Péter Gáspár (IEEE Trans. Intell. Transp. Syst., 2022)

GM-PHD Filter Based Sensor Data Fusion for Automotive Frontal Perception System. - László Lindenmaier; Szilárd Aradi; Tamás Bécsi; Olivér Töro; Péter Gáspár (IEEE Trans. Veh. Technol., 2022)

Multi-Agent Reinforcement Learning for railway rescheduling. - Bálint Kövári; Csanád L. Balogh; Szilárd Aradi (SACI, 2023)

A Runtime-Efficient Multi-Object Tracking Approach for Automotive Perception Systems. - László Lindenmaier; Balázs Czibere; Szilárd Aradi; Tamás Bécsi (SACI, 2023)

Runtime Performance Analysis of a MILP-Based Real-Time Railway Traffic Management Algorithm. - Szilárd Aradi; László Lindenmaier; István Ferenc Lövétei (SISY, 2023)

Object-Level Data-Driven Sensor Simulation for Automotive Environment Perception. - László Lindenmaier; Szilárd Aradi; Tamás Bécsi; Olivér Töro; Péter Gáspár (IEEE Trans. Intell. Veh., 2023)

Comparison of Lateral Controllers for Autonomous Vehicles Based on Passenger Comfort Optimization. - Akos Mark Bokor; Ádám Szabó; Szilárd Aradi; László Palkovics (ICINCO (1), 2024)

Local Motion Planning for Overtaking Maneuvers in a Rural Road Environment. - Dániel Losonczi; Árpád Fehér; Szilárd Aradi; László Palkovics (ICINCO (2), 2024)

Real-Time Rail Energy Consumption Minimization: Optimal Speed Profile Planning. - László Lindenmaier; Szilárd Aradi; István Ferenc Lövétei (SACI, 2024)

Distributed Highway Control: A Cooperative Reinforcement Learning-Based Approach. - Bálint Kövári; István Gellért Knáb; Domokos Esztergár-Kiss; Szilárd Aradi; Tamás Bécsi (IEEE Access, 2024)

Path planning via reinforcement learning with closed-loop motion control and field tests. - Árpád Fehér; Ádám Domina; Ádám Bárdos; Szilárd Aradi; Tamás Bécsi (Eng. Appl. Artif. Intell., 2025)

Efficient real-time rail traffic optimization: Decomposition of rerouting, reordering, and rescheduling problems. - István Ferenc Lövétei; László Lindenmaier; Szilárd Aradi (J. Rail Transp. Plan. Manag., 2025)

Semi-Automatic BEV Ground Truth Generation for Automotive Perception Systems. - László Lindenmaier; Szilárd Aradi; Tamás Bécsi; Péter Gáspár (IEEE Trans. Intell. Veh., 2025)