Magneto-Inertial Dead-Reckoning Navigation with Walk Dynamic Model in Indoor Environment.

Raphaël Neymann, Alexis Berthou, Jean-François Jourdas,Hugo Lhachemi,Christophe Prieur,Antoine Girard

2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN)(2023)

引用 0|浏览0
暂无评分
摘要
We tackle the problem of pedestrian indoor navigation with Magneto-Inertial Dead Reckoning technology (MIDR) with the integration of the data provided by a Magneto-Inertial Measurement Unit (MIMU). This method is well-known in the literature and very efficient if the spatial distribution of the magnetic field is nonuniform and the gradient of sufficiently high magnitude. However, the quality of the magnetic information decreases as the pedestrian moves toward a weak magnetic zone. We propose, characterize and test a new correction technique of the MDIR velocity based on the detection of walking steps and dynamical modeling of the walk itself.
更多
查看译文
关键词
walk dynamic model,magneto-inertial,dead-reckoning
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要