Publikációk | Autonóm Rendszerek Nemzeti Laboratórium

22. IFAC World Congress 2023 / 2023. július 9-14.

Integration of Robust Control with Reinforcement Learning for Safe Autonomous Vehicle Motion

Lelkó, A.

Németh, B.

Fényes, D.

Gáspár, P.

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Acta Polytechnica Hungarica (Vol. 20, No. 7) / 2023. július

Providing Guaranteed Performances for an Enhanced Cruise Control Using Robust LPV Method

Németh, B.

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Part of the Advances in Industrial Control book series

Control of variable-geometry vehicle suspensions: design and analysis

Németh, B.

Dr. Gáspár Péter, DSc

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EEE International Symposium on Applied Computational Intelligence and Informatics (SACI)

A runtime-efficient multi-object tracking approach for automotive perception systems

Lindenmaier, L.

Czibere, B.

Dr. Aradi Szilárd, PhD

Dr. Bécsi Tamás, PhD

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IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)

Multi-agent reinforcement learning for railway rescheduling

Kővári, B.

Balogh, Cs. L.

Aradi, Sz.

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IEEE Control Systems Letters (Vol. 7) / 2023 június 21.

Minimal Realizations of Input–Output Behaviors by LPV State-Space Representations With Affine Dependence

Petreczky, M.

Tóth, R.

Mercère, G.

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IEEE Control Systems Letters

On improved commutation for moving-magnet planar actuators

Broens Y.

Butler, H.

Dr. Tóth Roland, PhD

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IEEE Transactions on Intelligent Vehicles

Object-level data-driven sensor simulation for automotive environment perception

Lindenmaier, L.

Dr. Aradi Szilárd, PhD

Dr. Bécsi Tamás, PhD

Törő, O.

Dr. Gáspár Péter, DSc

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CIRP Annals

Multi-operation optimal blank localization for near net shape machining

Cserteg, T.

Kovács, A.

Dr. Váncza József, PhD

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