Data Fusion of Dual Foot-Mounted INS Based on Human Step Length Model

Pedestrian navigation methods based on inertial sensors are commonly used to solve navigation and positioning problems when satellite signals are unavailable. To address the issue of heading angle errors accumulating over time in pedestrian navigation systems that rely solely on the Zero Velocity Up...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 24; H. 4; S. 1073
Hauptverfasser:	Chen, Jianqiang, Liu, Gang, Guo, Meifeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 07.02.2024 MDPI
Schlagworte:	Accelerometers Accuracy Algorithms Analysis Attitudes Biomechanical Phenomena bipedal constraint algorithm Deep learning Electronics in navigation Foot Gait human step length model Humans Hypothesis testing INS Kinematics MIMU Motion Motion capture Navigation systems pedestrian navigation Pedestrians Radio frequency identification Sensors ZUPT MIMU bipedal constraint algorithm ZUPT pedestrian navigation human step length model INS
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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