Publikációk | Autonóm Rendszerek Nemzeti Laboratórium

Transportation Research Procedia, Volume 62 / 2022. március 11.

Deep Reinforcement Learning based approach for Traffic Signal Control

Kővári, B.

Tettamanti, T.

Bécsi, T.

Bővebben

Transportation Research Procedia, Volume 62 / 2022. március 11.

Investigating Successor Features in the Domain of Autonomous Vehicle Control

Szőke, L.

Aradi, Sz.

Tettamanti, T.

Bővebben

Energies 2022, 15(6) / 2022. március 9.

Effects of Automated Vehicle Models at the Mixed Traffic Situation on a Motorway Scenario

Fang, X.

Li, H.

Tettamanti, T.

Eichberger, A.

Fellendorf, M.

Bővebben

IEEE Access, Volume 10 / 2022. március 8.

Framework for Vehicle Dynamics Model Validation

Widner, A.

Tihanyi, V.

Tettamanti, T.

Bővebben

2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI) / 2022. március 2-5.

Route selection method with ethical considerations for automated vehicles under critical situations

Németh, B.

Bővebben

Asilomar Conference on Signals, Systems & Computers

Real-time analysis of neuronal firing patterns via Hawkes processes

Gerencsér, L.

Perczel, Gy.

Bővebben

European Journal of Control

Lyapunov function computation for autonomous systems with complex dynamic behavior

Polcz, P.

Szederkényi, G.

Bővebben

IEEE Transactions on Intelligent Transportation Systems

Skills to drive: successor features for autonomous highway pilot

Szőke, L.

Dr. Aradi Szilárd, PhD

Dr. Bécsi Tamás, PhD

Dr. Gáspár Péter, DSc

Bővebben

Energies 2022, 15(3) / 2022. február

Permanent Magnet Synchronous Motor Model Extension for High-Frequency Signal Injection-Based Sensorless Magnet Polarity Detection

Szalay, I.

Fodor, D.

Enisz, K.

Medve, H.

Bővebben