Követés
Tamás Bécsi
Cím
Hivatkozott rá
Hivatkozott rá
Év
Security issues and vulnerabilities in connected car systems
T Bécsi, S Aradi, P Gáspár
2015 International Conference on Models and Technologies for Intelligent …, 2015
942015
Design of lane keeping algorithm of autonomous vehicle
O Törő, T Becsi, S Aradi
Periodica Polytechnica Transportation Engineering 44 (1), 60-68, 2016
732016
Model Based Trajectory Planning for Highly Automated Road Vehicles
F Hegedüs, T Bécsi, S Aradi, P Gáspár
IFAC-PapersOnLine 50 (1), 6958-6964, 2017
392017
Design of a reinforcement learning-based lane keeping planning agent for automated vehicles
B Kővári, F Hegedüs, T Bécsi
Applied Sciences 10 (20), 7171, 2020
382020
Policy gradient based reinforcement learning approach for autonomous highway driving
S Aradi, T Becsi, P Gaspar
2018 IEEE Conference on Control Technology and Applications (CCTA), 670-675, 2018
332018
Hierarchical evasive path planning using reinforcement learning and model predictive control
Á Fehér, S Aradi, T Bécsi
IEEE Access 8, 187470-187482, 2020
292020
A predictive optimization method for energy-optimal speed profile generation for trains
S Aradi, T Bécsi, P Gáspár
2013 IEEE 14th International Symposium on Computational Intelligence and …, 2013
282013
Hybrid DDPG approach for vehicle motion planning
Á Fehér, S Aradi, F Hegedüs, T Bécsi, P Gáspár
SciTePress, 2019
262019
Design of predictive optimization method for energy-efficient operation of trains
S Aradi, T Bécsi, P Gáspár
2014 European Control Conference (ECC), 2490-2495, 2014
232014
Lane change prediction using Gaussian classification, support vector classification and neural network classifiers
O Rákos, S Aradi, T Bécsi
Periodica Polytechnica Transportation Engineering 48 (4), 327-333, 2020
202020
Motion planning for highly automated road vehicles with a hybrid approach using nonlinear optimization and artificial neural networks
F Hegedüs, T Bécsi, S Aradi, P Gáspár
Strojniski vestnik-Journal of Mechanical Engineering 65 (3), 148-160, 2019
202019
Deep reinforcement learning based approach for traffic signal control
K Bálint, T Tamás, B Tamás
Transportation Research Procedia 62, 278-285, 2022
192022
Estimation of dynamic origin destination matrix of traffic systems
B Kulcsár, T Bécsi, I Varga
Periodica Polytechnica Transportation Engineering 33 (1-2), 3-14, 2005
192005
Q-learning based reinforcement learning approach for lane keeping
A Feher, S Aradi, T Becsi
2018 IEEE 18th International Symposium on Computational Intelligence and …, 2018
182018
Multi-agent reinforcement learning for traffic signal control: A cooperative approach
M Kolat, B Kővári, T Bécsi, S Aradi
Sustainability 15 (4), 3479, 2023
172023
Traffic signal control via reinforcement learning for reducing global vehicle emission
B Kővári, L Szőke, T Bécsi, S Aradi, P Gáspár
Sustainability 13 (20), 11254, 2021
162021
Reward design for intelligent intersection control to reduce emission
B Kővári, B Pelenczei, S Aradi, T Bécsi
IEEE Access 10, 39691-39699, 2022
142022
Control oriented modeling of an electro-pneumatic gearbox actuator
A Szabo, T Becsi, P Gaspar, S Aradi
2018 European Control Conference (ECC), 2623-2628, 2018
132018
Autonomous drifting using reinforcement learning
L Orgován, T Bécsi, S Aradi
Periodica Polytechnica Transportation Engineering 49 (3), 292-300, 2021
122021
Reinforcement learning based control design for a floating piston pneumatic gearbox actuator
T Bécsi, Á Szabó, B Kővári, S Aradi, P Gáspár
IEEE Access 8, 147295-147312, 2020
122020
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20