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Titel:

A Correlation-Based Method to Use Street Profile Data for Accurate Localization of Vehicles

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Anhalt, F.; Finbar, M.
Seitenangaben Beitrag:
pp. 23-28
Abstract:
To enable the concept of a cloud-aided proactive suspension control, a precise localization of the vehicle on the street is needed and the accuracy must be significantly better than what global navigation satellite systems can provide. In this paper, we present a method to localize the vehicle in longitudinal direction using the information of the vertical street profile. The method is based on the correlation of a reference street profile from the cloud server with the observed profile gained t...     »
Stichworte:
Location awareness; Cloud computing; Suspensions (mechanical systems); Global navigation satellite system; Correlation; Roads; Observers
Dewey-Dezimalklassifikation:
620 Ingenieurwissenschaften
Kongress- / Buchtitel:
IEEE conference on Control Technology and Applications [CCTA; Trieste, Italy; 2022]
Ausrichter der Konferenz:
IEEE
Datum der Konferenz:
23.-25.8.2022
Jahr:
2022
Print-ISBN:
978-1-6654-7339-2
E-ISBN:
978-1-6654-7338-5
Serien-ISSN:
2768-0770
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1109/CCTA49430.2022.9966142
Semester:
SS 22
TUM Einrichtung:
Lehrstuhl für Regelungstechnik
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