AUTOmated driving Progressed by Internet Of Things

Project: EU project

Project Details

Description

AUTOPILOT brings together relevant knowledge and technology from the automotive and the IoT value chains in order to develop IoT-architectures and platforms which will bring automated driving towards a new dimension.
AcronymAUTOPILOT
StatusFinished
Effective start/end date1/01/1729/02/20

Collaborative partners

  • VTT Technical Research Centre of Finland
  • European Road Transport Telematics Implementation Coordination Organisation (ERTICO) (lead)
  • Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT)
  • Fédération Internationale de l’Automobile (FIA)
  • Continental AG
  • AKKA Technologies
  • Applus+ IDIADA
  • AVR S.p.A.
  • Commissariat a l'Energie Atomique et aux Energies Alternatives (CEA)
  • Centre for Research and Technology Hellas (CERTH)
  • CETECOM (Germany)
  • Centro Ricerche Fiat (CFR)
  • CTAG - Automotive Technology Centre of Galicia
  • German Aerospace Center (DLR)
  • Easy Global Market SAS
  • Electronics and Telecommunications Research Institute (ETRI)
  • Gemalto
  • City of Helmond
  • Huawei Technologies Co., Ltd.
  • IBM Ireland Ltd
  • IBM Research (Zürich)
  • Istituto Superiore Mario Boella (ISMB)
  • ​Metabuild Co., Ltd
  • NEC Europe
  • National Electric Vehicle Sweden AB (NEVS)
  • NXP Semiconductors Netherlands B.V.
  • Groupe PSA
  • Sensinov
  • SINTEF AS
  • STMicroelectronics S.R.L.
  • TASS International
  • Technolution B.V.
  • Thales Italia (THALIT)
  • Telecom Italia Group (TIM)
  • Netherlands Organisation for Applied Scientific Research (TNO)
  • T-Systems International GmbH
  • TomTom International BV
  • Eindhoven University of Technology (TU/e)
  • International Association of Public Transport (UITP)
  • University of Leeds
  • VALEO Embrayages SAS
  • VeDeCoM Institute
  • Versailles Grand Parc
  • Vicomtech
  • City Authority of Vigo

Funding category

  • EU-H2020

Keywords

  • H2020-EU.3.1.4.
  • H2020-EU.2.1.1.

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • IoT technologies for connected and automated driving applications

    Vermesan, O., Bahr, R., Falcitelli, M., Brevi, D., Bosi, I., Dekusar, A., Velizhev, A., Alaya, M. B., Firmani, C., Simeon, J. F., Tcheumadjeu, L. T., Solmaz, G., Bisconti, F., Di Mauro, L., Noto, S., Pagano, P., Ferrera, E., Castillo, G. A. G., Bonetto, E., Di Massa, V., & 13 othersLegaspi, X., Cabeza, M., Bernardez, D., Sanchez, F., Kaul, R., Van den Ende, B., Schmeitz, A., Scholliers, J., Karagiannis, G., den Ouden, J., Jansen, S., Marcasuzaa, H. & Schreiner, F., 1 Oct 2020, Internet of Things - The Call of the Edge: Everything Intelligent Everywhere. Vermesan, O. & Bacquet, J. (eds.). River Publishers, p. 255-306

    Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

    Open Access
    7 Citations (Scopus)
  • Quality of life impacts of connected automated driving: Case: AVP

    Aittoniemi, E., Malin, F., Kolarova, V. & Touliou, K., 2019.

    Research output: Contribution to conferenceConference articleProfessional

  • How may connected automated driving improve quality of life?

    Aittoniemi, E., Kolarova, V., Barnard, Y., Touliou, K. & Netten, B., 2018.

    Research output: Contribution to conferenceConference articleProfessional