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ORCIDSzilárd Aradi
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2020 – today
- 2024
[j9]Bálint Kövári
, István Gellért Knáb, Domokos Esztergár-Kiss, Szilárd Aradi, Tamás Bécsi:
Distributed Highway Control: A Cooperative Reinforcement Learning-Based Approach. IEEE Access 12: 104463-104472 (2024)- [c23]László Lindenmaier, Szilárd Aradi, István Ferenc Lövétei:
Real-Time Rail Energy Consumption Minimization: Optimal Speed Profile Planning. SACI 2024: 175-182 - 2023
- [j8]László Lindenmaier, Szilárd Aradi, Tamás Bécsi, Olivér Töro, Péter Gáspár:
Object-Level Data-Driven Sensor Simulation for Automotive Environment Perception. IEEE Trans. Intell. Veh. 8(10): 4341-4356 (2023) - [c22]Bálint Kövári, Csanád L. Balogh, Szilárd Aradi:
Multi-Agent Reinforcement Learning for railway rescheduling. SACI 2023: 375-380 - [c21]László Lindenmaier, Balázs Czibere, Szilárd Aradi, Tamás Bécsi:
A Runtime-Efficient Multi-Object Tracking Approach for Automotive Perception Systems. SACI 2023: 785-792 - [c20]Szilárd Aradi, László Lindenmaier, István Ferenc Lövétei:
Runtime Performance Analysis of a MILP-Based Real-Time Railway Traffic Management Algorithm. SISY 2023: 265-270 - 2022
- [j7]Bálint Kövári, Bálint Pelenczei, Szilárd Aradi, Tamás Bécsi:
Reward Design for Intelligent Intersection Control to Reduce Emission. IEEE Access 10: 39691-39699 (2022) - [j6]Szilárd Aradi:
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 23(2): 740-759 (2022) - [j5]Laszlo Szoke, Szilárd Aradi, Tamás Bécsi, Péter Gáspár:
Skills to Drive: Successor Features for Autonomous Highway Pilot. IEEE Trans. Intell. Transp. Syst. 23(10): 18707-18718 (2022) - [j4]László Lindenmaier, Szilárd Aradi, Tamás Bécsi, Olivér Töro, Péter Gáspár:
GM-PHD Filter Based Sensor Data Fusion for Automotive Frontal Perception System. IEEE Trans. Veh. Technol. 71(7): 7215-7229 (2022) - [c19]László Lindenmaier, Szilárd Aradi, Tamás Bécsi, István Ferenc Lövétei:
MILP-Based Optimization of the Extended Real- Time Railway Traffic Management Problem. SACI 2022: 105-110 - [c18]Máté Kolat, Bálint Kövári, Tamás Bécsi, Szilárd Aradi:
Designing Reward Functions in Multi-Agent Reinforcement Learning for Intelligent Intersection Control. SISY 2022: 343-348 - [c17]Bálint Kövári, Máté Kolat, Tamás Bécsi, Szilárd Aradi:
Competitive Multi-Agent Reinforcement Learning for Traffic Signal Control. SISY 2022: 361-366 - 2020
- [j3]Tamás Bécsi, Ádám Szabó, Bálint Kövári, Szilárd Aradi, Péter Gáspár:
Reinforcement Learning Based Control Design for a Floating Piston Pneumatic Gearbox Actuator. IEEE Access 8: 147295-147312 (2020) - [j2]Árpád Fehér, Szilárd Aradi, Tamás Bécsi:
Hierarchical Evasive Path Planning Using Reinforcement Learning and Model Predictive Control. IEEE Access 8: 187470-187482 (2020) - [c16]Árpád Fehér, Szilárd Aradi, Tamás Bécsi, Péter Gáspár, Zsolt Szalay:
Proving Ground Test of a DDPG-based Vehicle Trajectory Planner. ECC 2020: 332-337 - [c15]Bálint Kövári, Tamás Bécsi, Ádám Szabó, Szilárd Aradi:
Policy Gradient Based Control of a Pneumatic Actuator Enhanced with Monte Carlo Tree Search. ICMRE 2020: 177-182 - [c14]Laszlo Szoke, Szilárd Aradi, Tamás Bécsi, Peter Gaspar:
Vehicle Control in Highway Traffic by Using Reinforcement Learning and Microscopic Traffic Simulation. SISY 2020: 21-26 - [i1]Szilárd Aradi:
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles. CoRR abs/2001.11231 (2020)
2010 – 2019
- 2019
- [c13]Árpád Fehér, Szilárd Aradi, Ferenc Hegedüs, Tamás Bécsi, Péter Gáspár:
Hybrid DDPG Approach for Vehicle Motion Planning. ICINCO (1) 2019: 422-429 - 2018
- [c12]Szilárd Aradi, Tamás Bécsi, Peter Gaspar:
Policy Gradient Based Reinforcement Learning Approach for Autonomous Highway Driving. CCTA 2018: 670-675 - [c11]Ádám Szabó, Tamás Bécsi, Peter Gaspar, Szilárd Aradi:
Control oriented modeling of an electro-pneumatic gearbox actuator. ECC 2018: 2623-2628 - [c10]Ádám Szabó, Tamás Bécsi, Peter Gaspar, Szilárd Aradi:
Control design of an electro-pneumatic gearbox actuator. MESA 2018: 1-6 - [c9]Olivér Töro, Tamás Bécsi, Szilárd Aradi, Péter Gáspár:
IMM Bernoulli Gaussian Particle Filter ⁎. SyRoCo 2018: 274-279 - [c8]Tamás Bécsi, Szilárd Aradi, Ádám Szabó, Péter Gáspár:
Policy gradient based Reinforcement learning control design of an electro-pneumatic gearbox actuator ⁎. SyRoCo 2018: 405-411 - [c7]Tamás Bécsi, Szilárd Aradi, Árpád Fehér, János Szalay, Péter Gáspár:
Highway Environment Model for Reinforcement Learning ⁎. SyRoCo 2018: 429-434 - 2015
- [j1]Tamás Bécsi, Szilárd Aradi, Peter Gaspar:
Educational Frameworks for Vehicle Mechatronics. IEEE Trans. Intell. Transp. Syst. 16(6): 3534-3542 (2015) - [c6]Tamás Bécsi, Szilárd Aradi, Peter Gaspar:
Security issues and vulnerabilities in connected car systems. MT-ITS 2015: 477-482 - 2014
- [c5]Szilárd Aradi, Tamás Bécsi, Péter Gáspár:
Design of predictive optimization method for energy-efficient operation of trains. ECC 2014: 2490-2495 - [c4]Szilárd Aradi, Tamás Bécsi, Péter Gáspár, Gabor Barany, Adam Hajdu:
Design of wireless gateway between on-board vehicle wired networks and mobile devices. ICCVE 2014: 612-617 - [c3]Szilárd Aradi, Tamás Bécsi, Peter Gaspar:
Experimental vehicle development for testing autonomous vehicle functions. MESA 2014: 1-5 - [c2]Tamás Bécsi, Szilárd Aradi, Peter Gaspar:
Design of an educational emulation framework for mechatronics control unit development. MESA 2014: 1-5 - 2012
- [c1]Gábor Rödönyi, Peter Gaspar, Jozsef Bokor, László Palkovics, Szilárd Aradi, Zoltán Hankovszki, Roland Kovács:
Guaranteed Peaks of Spacing Errors in an Experimental Vehicle String. ROCOND 2012: 759-764
Coauthor Index
aka: Peter Gaspar
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last updated on 2024-10-07 22:11 CEST by the dblp team
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