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Titel:

Lane-Level Matching Algorithm Based on GNSS, IMU and Map Data

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Kreibich, Julian; Brenner, Frederic; Lienkamp, Markus
Abstract:
High-precision map services are an indispensable basis of many innovative in-vehicle applications. Safety and comfort can be improved even further by inputting contextual information, such as road surface. Correct allocation requires lane-accurate vehicle localization. This paper presents a novel algorithm for lane-level map-matching that integrates a global navigation satellite system, an inertial measurement unit, and map data. The implemented algorithm consists of five consecutive modules: ma...     »
Stichworte:
FTM Smarte Mobilität
Kongress- / Buchtitel:
2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI)
Verlag / Institution:
IEEE
Publikationsdatum:
26.11.2021
Jahr:
2021
Nachgewiesen in:
Scopus
Volltext / DOI:
doi:10.1109/iscmi53840.2021.9654917
TUM Einrichtung:
Lehrstuhl für Fahrzeugtechnik
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