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Asian Journal of Control / Nov 2020
Tensor product transformation‐based modeling of an induction machine
Németh, Z.
Kuczmann, M.
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MDPI Applied Sciences, 10, Paper-id. 7716. / Oct 2020
Design of a low-complexity graph-based motion-planning algorithm for autonomous vehicles
Hegedűs, T.
Németh, B.
Gáspár, P.
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IEEE Access, vol. 8, pp. 187470-187482 / Oct 2020
Hierarchical evasive path planning using reinforcement learning and model predictive control
Fehér, Á.
Aradi, S.
Bécsi, T.
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MDPI Applied Sciences, 10(20), Paper-id. 7171. / Oct 2020
Design of a reinforcement learning-based lane keeping planning agent for automated vehicle
Kővári, B.
Hegedüs, F.
Bécsi, T.
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Journal of Transport Geography, Vol. 75. / Oct 2020
Location optimisation method for fast-charging stations along national roads
Csiszár, Cs,
Csonka, B.
Földes, D.
Wirth, E.
Lovas, T.
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Sustainability 2020, 12(17), 6737 / Aug 2020
Concept of mobile application for mobility as a service based on autonomous vehicles
He, Y.
Csiszár, Cs,
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ERCIM NEWS , 122, 18-19. / July 2020
Guaranteeing performance specifications for vehicle systems with learning agents through the robust control theory
Németh, B.
Gáspár, P.
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Promet - Traffic&Transportation, Vol. 32, No. 5 / June 2020
Quality assessment method for mobility as a service
He, Y.
Csiszár, Cs,
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IFAC-PapersOnLine
LPV control design based on ultra-local model for trajectory tracking problem
Hegedűs, T.
Fényes, D.
Zoltán Szabó, DSc
Balázs Németh, PhD
Péter Gáspár, DSc
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