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Titel:

Skewed-redundant Hall-effect Magnetic Sensor Fusion for Perturbation-free Indoor Heading Estimation

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Karimi, Mojtaba; Babaians, Edwin; Oelsch, Martin; Aykut, Tamay; Steinbach, Eckehard
Abstract:
Robust attitude and heading estimation with respect to a known reference is an essential component for indoor localization in robotic applications. Affordable Attitude and Heading Reference Systems (AHRS) are typically using 9-axis solid-state MEMS-based sensors. The accuracy of heading estimation on such a system depends on the Earth's magnetic field measurement accuracy. The measurement of the Earth's magnetic field using MEMS-based magnetometer sensors in an indoor environment, however, is s...     »
Kongress- / Buchtitel:
The 4th IEEE International Conference on Robotic Computing
Ausrichter der Konferenz:
IEEE
Jahr:
2020
Semester:
WS 19-20
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