Tamás Bécsi
Title
Cited by
Cited by
Year
Security issues and vulnerabilities in connected car systems
T Bécsi, S Aradi, P Gáspár
2015 International Conference on Models and Technologies for Intelligent …, 2015
632015
Design of lane keeping algorithm of autonomous vehicle
O Törő, T Becsi, S Aradi
Periodica Polytechnica Transportation Engineering 44 (1), 60-68, 2016
392016
Model Based Trajectory Planning for Highly Automated Road Vehicles
F Hegedüs, T Bécsi, S Aradi, P Gáspár
IFAC-PapersOnLine 50 (1), 6958-6964, 2017
182017
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
182014
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
172013
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
162005
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
142018
A mixture of distributions background model for traffic video surveillance
T Bécsi, T Péter
Periodica Polytechnica Transportation Engineering 34 (1-2), 109-117, 2006
122006
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
102018
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
92019
Hybrid DDPG approach for vehicle motion planning
Á Fehér, S Aradi, F Hegedüs, T Bécsi, P Gáspár
SciTePress, 2019
72019
Autonomous vehicle function experiments with low-cost environment sensors
T Bécsi, S Aradi, Á Fehér, G Gáldi
Transportation Research Procedia 27, 333-340, 2017
72017
Experimental vehicle development for testing autonomous vehicle functions
S Aradi, T Bécsi, P Gáspár
2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded …, 2014
72014
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
62019
Highway environment model for reinforcement learning
T Bécsi, S Aradi, Á Fehér, J Szalay, P Gáspár
IFAC-PapersOnLine 51 (22), 429-434, 2018
62018
Development and evaluation of a Fuzzy-based Microscopic Vehicle-following model
T Bécsi, T Péter
Periodica Polytechnica Transportation Engineering 36 (1-2), 15-19, 2008
62008
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
52018
Educational Frameworks for Vehicle Mechatronics
T Bécsi, S Aradi, P Gáspár
IEEE Transactions on Intelligent Transportation Systems 16 (6), 3534-3542, 2015
52015
Measurement based validation of an electro-pneumatic gearbox actuator
Á Szabó, T Bécsi, S Aradi
Periodica Polytechnica Transportation Engineering 49 (1), 1-7, 2021
42021
Dynamically feasible trajectory planning for road vehicles in terms of sensitivity and robustness
F Hegedüs, T Bécsi, S Aradi
Transportation Research Procedia 27, 799-807, 2017
42017
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Articles 1–20