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Publications

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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Kapcsolat

Prof. Dr. Péter Gáspár

Hungary, H-1111 Budapest,
Kende u. 13-17.
+36 1 279 6000
autonom@nemzetilabor.hu

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