Obtaining Trajectories Using Strapdown INS/KF Framework: Methodological Proposal

Obtaining Trajectories Using Strapdown INS/KF Framework: Methodological Proposal

The state-of-the-art of positioning systems has proven that complex sensor networks and artificial vision are required to accurately locate moving objects in autonomous navigation applications. This document presents the methodology for tracking position of moving objects using Kalman Filter Inertia...

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Bibliographic Details
Main Authors: Moises J. Castro-Toscano, Julio C. Rodríguez-Quiñonez, Daniel Hernández-Balbuena, Moises Rivas-Lopez, Oleg Sergiyenko, Wendy Flores-Fuentes
Format: Article
Language:Spanish
Published: Universitat Politecnica de Valencia 2018-09-01
Series:Revista Iberoamericana de Automática e Informática Industrial RIAI
Subjects:
Filtro de Kalman
Navegación
MEMS
INS
Online Access:https://polipapers.upv.es/index.php/RIAI/article/view/8660

Internet

https://polipapers.upv.es/index.php/RIAI/article/view/8660

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