TY - JOUR
T1 - Robust perception systems for automated, connected, and electrified vehicles
T2 - 2022 Conference Proceedings Transport Research Arena, TRA Lisbon 2022
AU - Reckenzaun, Jakob
AU - Solmaz, Selim
AU - Goelles, Thomas
AU - Hilbert, Marc
AU - Weimer, Daniel
AU - Mayer, Peter
AU - Chromy, Adam
AU - Hentschel, Uwe
AU - Modler, Niels
AU - Toth, Mate
AU - Hennecke, Marcus
N1 - Publisher Copyright:
© 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - connected and automated mobility
KW - Electrified
KW - Perception system
KW - Validation
UR - http://www.scopus.com/inward/record.url?scp=85182937797&partnerID=8YFLogxK
U2 - 10.1016/j.trpro.2023.11.412
DO - 10.1016/j.trpro.2023.11.412
M3 - Conference article
AN - SCOPUS:85182937797
SN - 2352-1457
VL - 72
SP - 335
EP - 342
JO - Transportation Research Procedia
JF - Transportation Research Procedia
Y2 - 14 November 2022 through 17 November 2022
ER -