| Security issues and vulnerabilities in connected car systems T Bécsi, S Aradi, P Gáspár 2015 International Conference on Models and Technologies for Intelligent …, 2015 | 75 | 2015 |
| Design of lane keeping algorithm of autonomous vehicle O Törő, T Becsi, S Aradi Periodica Polytechnica Transportation Engineering 44 (1), 60-68, 2016 | 48 | 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 | 27 | 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 | 19 | 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 | 19 | 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 | 18 | 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 | 17 | 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 | 17 | 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 | 15 | 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 | 13 | 2020 |
| Hybrid DDPG approach for vehicle motion planning Á Fehér, S Aradi, F Hegedüs, T Bécsi, P Gáspár SciTePress, 2019 | 13 | 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 | 13 | 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 | 12 | 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 | 10 | 2019 |
| Highway environment model for reinforcement learning T Bécsi, S Aradi, Á Fehér, J Szalay, P Gáspár IFAC-PapersOnLine 51 (22), 429-434, 2018 | 10 | 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 | 10 | 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 | 9 | 2018 |
| Hierarchical evasive path planning using reinforcement learning and model predictive control Á Fehér, S Aradi, T Bécsi IEEE Access 8, 187470-187482, 2020 | 8 | 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 | 7 | 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 | 7 | 2020 |
Szilárd AradiBudapest University of Technology and EconomicsVerified email at mail.bme.hu
