Tamás Bécsi
Cited by
Cited by
Security issues and vulnerabilities in connected car systems
T Bécsi, S Aradi, P Gáspár
2015 International Conference on Models and Technologies for Intelligent …, 2015
Design of lane keeping algorithm of autonomous vehicle
O Törő, T Becsi, S Aradi
Periodica Polytechnica Transportation Engineering 44 (1), 60-68, 2016
Model Based Trajectory Planning for Highly Automated Road Vehicles
F Hegedüs, T Bécsi, S Aradi, P Gáspár
IFAC-PapersOnLine 50 (1), 6958-6964, 2017
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
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
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
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
Estimation of dynamic origin destination matrix of traffic systems
B Kulcsár, T Bécsi, I Varga
Budapest University of Technology and Economics 33 (1-2), 3-14, 2005
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
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
Hybrid DDPG approach for vehicle motion planning
Á Fehér, S Aradi, F Hegedüs, T Bécsi, P Gáspár
SciTePress, 2019
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
A mixture of distributions background model for traffic video surveillance
T Bécsi, T Péter
Periodica Polytechnica Transportation Engineering 34 (1-2), 109-117, 2006
Sensitivity and performance evaluation of multiple-model state estimation algorithms for autonomous vehicle functions
O Törő, T Bécsi, S Aradi, P Gáspár
Journal of Advanced Transportation 2019, 2019
Highway environment model for reinforcement learning
T Bécsi, S Aradi, Á Fehér, J Szalay, P Gáspár
IFAC-PapersOnLine 51 (22), 429-434, 2018
Autonomous vehicle function experiments with low-cost environment sensors
T Bécsi, S Aradi, Á Fehér, G Gáldi
Transportation Research Procedia 27, 333-340, 2017
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
Hierarchical evasive path planning using reinforcement learning and model predictive control
Á Fehér, S Aradi, T Bécsi
IEEE Access 8, 187470-187482, 2020
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
Driving on highway by using reinforcement learning with CNN and LSTM networks
L Szőke, S Aradi, T Bécsi, P Gáspár
2020 IEEE 24th International Conference on Intelligent Engineering Systems …, 2020
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