Magneto-Inertial Dead-Reckoning Navigation with Walk Dynamic Model in Indoor Environment - Archive ouverte HAL
Communication Dans Un Congrès Année : 2023

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

Navigation Magnéto-Inertielle avec Modèle Dynamique de Marche en Environnement Intérieur

Résumé

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.
Fichier principal
Vignette du fichier
20230710_ipin_paper.pdf (12.51 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04173992 , version 1 (31-07-2023)

Identifiants

Citer

Raphaël Neymann, Alexis Berthou, Jean-François Jourdas, Hugo Lhachemi, Christophe Prieur, et al.. Magneto-Inertial Dead-Reckoning Navigation with Walk Dynamic Model in Indoor Environment. IPIN 2023 - 13th International Conference on Indoor Positioning and Indoor Navigation, Sep 2023, Nuremberg, Germany. ⟨10.1109/ipin57070.2023.10332534⟩. ⟨hal-04173992⟩
202 Consultations
76 Téléchargements

Altmetric

Partager

More