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Tamás Bécsi
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2020 – today
- 2025
- [j14]Árpád Fehér, Ádám Domina, Ádám Bárdos, Szilárd Aradi, Tamás Bécsi:
Path planning via reinforcement learning with closed-loop motion control and field tests. Eng. Appl. Artif. Intell. 142: 109870 (2025) - 2024
- [j13]Bálint Kövári
, István Gellért Knáb
Distributed Highway Control: A Cooperative Reinforcement Learning-Based Approach. IEEE Access 12: 104463-104472 (2024) - [j12]Csanád L. Balogh, Bálint Pelenczei, Bálint Kövári, Tamás Bécsi:
Strategic data navigation: information value-based sample selection. Artif. Intell. Rev. 57(7): 187 (2024) - [c23]István Gellért Knáb, Bálint Pelenczei, Bálint Kövári, Tamás Bécsi, László Palkovics:
Expanded Applicability: Multi-Agent Reinforcement Learning-Based Traffic Signal Control in a Variable-Sized Environment. ICINCO (2) 2024: 15-25 - [c22]Bálint Pelenczei, István Gellért Knáb, Bálint Kövári, Tamás Bécsi, László Palkovics:
Adaptive Highway Traffic Management: A Reinforcement Learning Approach for Variable Speed Limit Control with Random Anomalies. ICINCO (2) 2024: 117-124 - [c21]Domonkos Csuzdi, Olivér Töro, Tamás Bécsi:
Differentiable Particle Filtering Using Optimal Placement Resampling. SACI 2024: 183-188 - [i2]Domonkos Csuzdi, Olivér Töro, Tamás Bécsi:
Differentiable Particle Filtering using Optimal Placement Resampling. CoRR abs/2402.16639 (2024) - 2023
- [j11]Bálint Kövári
Enhanced Experience Prioritization: A Novel Upper Confidence Bound Approach. IEEE Access 11: 138488-138501 (2023) - [j10]Olivér Töro
Analytic solution of the exact Daum-Huang flow equation for particle filters. Inf. Fusion 92: 247-255 (2023) - [j9]László Lindenmaier
Object-Level Data-Driven Sensor Simulation for Automotive Environment Perception. IEEE Trans. Intell. Veh. 8(10): 4341-4356 (2023) - [c20]László Lindenmaier, Balázs Czibere, Szilárd Aradi, Tamás Bécsi:
A Runtime-Efficient Multi-Object Tracking Approach for Automotive Perception Systems. SACI 2023: 785-792 - 2022
- [j8]Bálint Kövári
Reward Design for Intelligent Intersection Control to Reduce Emission. IEEE Access 10: 39691-39699 (2022) - [j7]Máté Kolat
Performance Evaluation of a Maneuver Classification Algorithm Using Different Motion Models in a Multi-Model Framework. Sensors 22(1): 347 (2022) - [j6]Laszlo Szoke
Skills to Drive: Successor Features for Autonomous Highway Pilot. IEEE Trans. Intell. Transp. Syst. 23(10): 18707-18718 (2022) - [j5]László Lindenmaier
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]Bálint Kövári, Bálint Pelenczei, Tamás Bécsi:
Monte Carlo Tree Search to Compare Reward Functions for Reinforcement Learning. SACI 2022: 123-128 - [c17]Máté Kolat, Bálint Kövári, Tamás Bécsi, Szilárd Aradi:
Designing Reward Functions in Multi-Agent Reinforcement Learning for Intelligent Intersection Control. SISY 2022: 343-348 - [c16]Bálint Kövári, Máté Kolat, Tamás Bécsi, Szilárd Aradi:
Competitive Multi-Agent Reinforcement Learning for Traffic Signal Control. SISY 2022: 361-366 - [i1]Olivér Töro, Tamás Bécsi:
Analytic solution of the exact Daum-Huang flow equation for particle filters. CoRR abs/2209.00089 (2022) - 2021
- [j4]Olivér Töro
PHD Filter for Object Tracking in Road Traffic Applications Considering Varying Detectability. Sensors 21(2): 472 (2021) - 2020
- [j3]Tamás Bécsi
Reinforcement Learning Based Control Design for a Floating Piston Pneumatic Gearbox Actuator. IEEE Access 8: 147295-147312 (2020) - [j2]Árpád Fehér, Szilárd Aradi
Hierarchical Evasive Path Planning Using Reinforcement Learning and Model Predictive Control. IEEE Access 8: 187470-187482 (2020) - [c15]Árpád Fehér, Szilárd Aradi, Tamás Bécsi
Proving Ground Test of a DDPG-based Vehicle Trajectory Planner. ECC 2020: 332-337 - [c14]Bálint Kövári, Tamás Bécsi
Policy Gradient Based Control of a Pneumatic Actuator Enhanced with Monte Carlo Tree Search. ICMRE 2020: 177-182 - [c13]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
2010 – 2019
- 2019
- [c12]Árpád Fehér, Szilárd Aradi
Hybrid DDPG Approach for Vehicle Motion Planning. ICINCO (1) 2019: 422-429 - 2018
- [c11]Szilárd Aradi
Policy Gradient Based Reinforcement Learning Approach for Autonomous Highway Driving. CCTA 2018: 670-675 - [c10]Ádám Szabó, Tamás Bécsi
Control oriented modeling of an electro-pneumatic gearbox actuator. ECC 2018: 2623-2628 - [c9]Ádám Szabó, Tamás Bécsi
Control design of an electro-pneumatic gearbox actuator. MESA 2018: 1-6 - [c8]Olivér Töro
IMM Bernoulli Gaussian Particle Filter ⁎. SyRoCo 2018: 274-279 - [c7]Tamás Bécsi
Policy gradient based Reinforcement learning control design of an electro-pneumatic gearbox actuator ⁎. SyRoCo 2018: 405-411 - [c6]Tamás Bécsi
Highway Environment Model for Reinforcement Learning ⁎. SyRoCo 2018: 429-434 - 2015
- [j1]Tamás Bécsi
Educational Frameworks for Vehicle Mechatronics. IEEE Trans. Intell. Transp. Syst. 16(6): 3534-3542 (2015) - [c5]Tamás Bécsi
Security issues and vulnerabilities in connected car systems. MT-ITS 2015: 477-482 - 2014
- [c4]Szilárd Aradi
Design of predictive optimization method for energy-efficient operation of trains. ECC 2014: 2490-2495 - [c3]Szilárd Aradi
Design of wireless gateway between on-board vehicle wired networks and mobile devices. ICCVE 2014: 612-617 - [c2]Szilárd Aradi
Experimental vehicle development for testing autonomous vehicle functions. MESA 2014: 1-5 - [c1]Tamás Bécsi
Design of an educational emulation framework for mechatronics control unit development. MESA 2014: 1-5
Coauthor Index
aka: Peter Gaspar
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last updated on 2025-01-20 23:05 CET by the dblp team
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