Detail projektu

AI4CSM - Automotive Intelligence for/at Connected Shared Mobility

Období řešení: 01.05.2021 — 28.02.2025

Zdroje financování

Evropská unie - Horizon 2020

- plně financující (2021-05-01 - 2024-04-30)
Ministerstvo školství, mládeže a tělovýchovy ČR - Společná technologická iniciativa ECSEL

- plně financující (2021-11-01 - 2024-11-30)

O projektu

AI4CSM rewrite the auto industry’s competitive rules. Today, software, large computing power and advanced sensors,increasingly step into that role; they enable most modern innovations, from efficiency to connectivity, from autonomousdriving to electrification and new mobility solutions. The AI4CSM project aims at developing the new ECS architecture forelectric, connected and automated vehicles for the future mass market, enabled by embedded intelligence and functionalintegration for connected shared Mobility. AI4CSM will drive technology developments in the field of integrating newintelligent solutions in the propulsion, energy, perception, connectivity and brain domains of vehicles. Through this, AI4CSM will reinforce the user acceptance, affordability by convenience and services for the major transition to a diverse mobility.The outcome of AI4CSM is incorporating all the 4 major trends (electrification, standardization, automatization anddigitalization) which foster the progress and define the transition of the automotive industry and mobility. The climateneutrality, zero pollution Europe, sustainable transport and circular economy will be driven by the outcome of AI4CSM.

Označení

101007326/8A21013

Originální jazyk

angličtina

Řešitelé

Václavek Pavel, prof. Ing., Ph.D. - hlavní řešitel
Bartík Ondřej, Ing. - spoluřešitel
Beneš Petr, doc. Ing., Ph.D. - spoluřešitel
Buchta Luděk, Ing., Ph.D. - spoluřešitel
Cihlář Miloš, Ing. - spoluřešitel
Dokoupil Jakub, Ing., Ph.D. - spoluřešitel
Doseděl Martin, Ing. - spoluřešitel
Fialka Jiří, Ing., Ph.D. - spoluřešitel
Gábrlík Petr, Ing., Ph.D. - spoluřešitel
Hnidka Jakub, Ing., Ph.D. - spoluřešitel
Horeličan Tomáš, Ing. - spoluřešitel
Chromý Adam, Ing., Ph.D. - spoluřešitel
Jílek Tomáš, Ing., Ph.D. - spoluřešitel
Klusáček Stanislav, Ing., Ph.D. - spoluřešitel
Kopečný Ladislav, Ing. - spoluřešitel
Kozovský Matúš, Ing., Ph.D. - spoluřešitel
Kozubík Michal, Ing. - spoluřešitel
Lázna Tomáš, Ing., Ph.D. - spoluřešitel
Otava Lukáš, Ing., Ph.D. - spoluřešitel
Pohl Lukáš, Ing., Ph.D. - spoluřešitel
Skalský Michal, Ing. - spoluřešitel
Svědiroh Stanislav, Ing. - spoluřešitel
Veselý Libor, Ing., Ph.D. - spoluřešitel
Zezula Lukáš, Ing. et Ing. - spoluřešitel

Útvary

Kybernetika a robotika
- příjemce (01.06.2021 - 31.05.2024)
Kybernetika pro materiálové vědy
- odpovědné pracoviště (16.04.2020 - 16.02.2021)

Výsledky

KOZOVSKÝ, M.; BUCHTA, L.; BLAHA, P. Implementation of ANN for PMSM interturn short-circuit detection in the embedded system. In IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society. Singapur: IEEE, 2023. p. 1-6. ISBN: 979-8-3503-3182-0.
Detail

SVĚDIROH, S.; ŽALUD, L. Atlas Fusion 2.0 - A ROS2 Based Real-Time Sensor Fusion Framework. In Lecture Notes in Computer Science. 14615. Springer Nature, 2024. p. 1-13. ISBN: 3031713966.
Detail

ZEZULA, L.; BLAHA, P. Discrete-Time Modeling of PMSM for Parametric Estimation and Model Predictive Control Tasks. In IECON 2023: 49th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2023. ISBN: 979-8-3503-3182-0.
Detail

BARTÍK, O. Parameter Estimation and Control Structure Synthesis for Oscillatory Mechanical Two-Mass Systems. IEEE Access, 2024, vol. 12, no. May, p. 77764-77773. ISSN: 2169-3536.
Detail

BUCHTA, L.; KOZOVSKÝ, M.;. Online neural network application for compensation of the VSI voltage nonlinearities. In IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society. Singapur: IEEE, 2023. p. 1-6. ISBN: 979-8-3503-3182-0.
Detail

ZEZULA, L.; KOZOVSKÝ, M.; BLAHA, P. Diagnostics of Interturn Short Circuits in PMSMs With Online Fault Indicators Estimation. IEEE Transactions on Industrial Electronics, 2024, vol. 71, no. 11, p. 15001-15011. ISSN: 0278-0046.
Detail

HAVRÁNEK, Z.; KOPEČNÝ, L.; DOSEDĚL, M.; HNIDKA, J.: HYBRID-ELDIAG; Module for detection of electrical fault in the propulsion using mechanical and acoustical quantities. Brno University of Technology Central European Institute of Technology Laboratory B1.04 Purkynova 656/123 612 00 Brno. URL: http://ai4csm.ceitec.cz/vysledky. (software)
Detail

KRATOCHVÍLA, L.; ZEMČÍK, T.; BILÍK, Š.; CHROMÝ, A.: ASGARD-CLASS; System for detection and classification of obstacles through data-fusion of lidar and RGB cameras (ASGARD-CLASS). CEITEC, Purkyňova 123, B1.08. URL: https://ai4csm.ceitec.cz/vysledky. (software)
Detail

Odpovědnost: Václavek Pavel, prof. Ing., Ph.D.