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)

PHD Filter for Object Tracking in Road Traffic Applications Considering Varying Detectability. - Olivér Töro; Tamás Bécsi; Péter Gáspár (Sensors, 2021)

Monte Carlo Tree Search to Compare Reward Functions for Reinforcement Learning. - Bálint Kövári; Bálint Pelenczei; Tamás Bécsi (SACI, 2022)

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)

Performance Evaluation of a Maneuver Classification Algorithm Using Different Motion Models in a Multi-Model Framework. - Máté Kolat; Olivér Töro; Tamás Bécsi (Sensors, 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)

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

Enhanced Experience Prioritization: A Novel Upper Confidence Bound Approach. - Bálint Kövári; Bálint Pelenczei; Tamás Bécsi (IEEE Access, 2023)

Analytic solution of the exact Daum-Huang flow equation for particle filters. - Olivér Töro; Tamás Bécsi (Inf. Fusion, 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)

Expanded Applicability: Multi-Agent Reinforcement Learning-Based Traffic Signal Control in a Variable-Sized Environment. - István Gellért Knáb; Bálint Pelenczei; Bálint Kövári; Tamás Bécsi; László Palkovics (ICINCO (2), 2024)

Adaptive Highway Traffic Management: A Reinforcement Learning Approach for Variable Speed Limit Control with Random Anomalies. - Bálint Pelenczei; István Gellért Knáb; Bálint Kövári; Tamás Bécsi; László Palkovics (ICINCO (2), 2024)

Differentiable Particle Filtering Using Optimal Placement Resampling. - Domonkos Csuzdi; Olivér Töro; Tamás Bécsi (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)

Strategic data navigation: information value-based sample selection. - Csanád L. Balogh; Bálint Pelenczei; Bálint Kövári; Tamás Bécsi (Artif. Intell. Rev., 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)

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