Robust perception systems for automated, connected, and electrified vehicles: Advances from EU project ArchitectECA2030

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Jakob Reckenzaun - , Virtual Vehicle Research GmbH (Autor:in)
  • Selim Solmaz - , Virtual Vehicle Research GmbH (Autor:in)
  • Thomas Goelles - , Virtual Vehicle Research GmbH (Autor:in)
  • Marc Hilbert - , Volkswagen AG (Autor:in)
  • Daniel Weimer - , Volkswagen AG (Autor:in)
  • Peter Mayer - , Volkswagen AG (Autor:in)
  • Adam Chromy - , Brno University of Technology (Autor:in)
  • Uwe Hentschel - , Institut für Leichtbau und Kunststofftechnik (ILK) (Autor:in)
  • Niels Modler - , Professur für Funktionsintegrativen Leichtbau (Autor:in)
  • Mate Toth - , Infineon Technologies AG (Autor:in)
  • Marcus Hennecke - , Infineon Technologies AG (Autor:in)

Abstract

The perception supply chain (SC1) of the ArchitectECA2030 project investigates failure modes, fault detection, and residual risk in perception systems of electrified, connected, and automated (ECA) vehicles. This accounts for the needs of a reliable understanding of the surrounding environment. The three demonstrators of SC1, described in this paper, address steps of a typical ECA usage cycle: charge - drive - restart charging. The foreign object detection (FOD) demonstrator improves safety within a wireless charging system. The robust physical sensors demonstrator creates a more robust perception by detecting failures within fused and single sensor data. The position enhancement demonstrator improves vehicle localization in areas with reduced GNSS signal coverage. All demonstrators are linked to the challenges that occur during the ECA vehicle usage cycle.

Details

OriginalspracheEnglisch
Seiten (von - bis)335-342
Seitenumfang8
FachzeitschriftTransportation Research Procedia
Jahrgang72 (2023)
PublikationsstatusVeröffentlicht - 13 Dez. 2023
Peer-Review-StatusJa

Externe IDs

ORCID /0000-0003-2834-8933/work/150328799
Scopus 85182937797

Schlagworte

Schlagwörter

  • Perception system, Validation, Electrified, connected and automated mobility