Mobility Parameter Estimation for Seamless Indoor-Outdoor Localization Based on Heterogeneous Information Fusion for 4-wheel Vehicles

Marco Teran, Henry Carrillo, Carlos Parra

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

This paper presents the design and validation of a mobility parameter estimation system based on heterogeneous information fusion. The GNSS implementation in different fields and applications has increased in recent years, due to the high demand for integrated positioning for engineering solutions, such as precision agriculture, logistics, air vehicles, among others. The GNSS precision depends in turn on many factors and are not all related to the GNSS space segment. There is a tendency to improve the quality of location services by sensor fusion technologies, GPS and inertial navigation systems. Navigation systems implementing GPS and inertial information fusion require the implementation of non-linear filtering, like the Extended Kalman Filter, the Unscented Kalman Filter and the Particle Filter. This document presents a GNSS, BLE and inertial sensor fusion system for a wheeled car. A nonlinear model related and the implementation of three non-linear filters are proposed. The filtering results are comparing. The performance and complexity of the filters are analyzed.

Idioma originalInglés
Título de la publicación alojada2018 IEEE 2nd Colombian Conference on Robotics and Automation, CCRA 2018
EditoresLorena Garcia, Pedro Wightman, Winston Percybrooks, Henry Carrillo, Carlos Quintero
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781538684641
DOI
EstadoPublicada - 24 dic. 2018
Evento2nd IEEE Colombian Conference on Robotics and Automation, CCRA 2018 - Barranquilla, Colombia
Duración: 01 nov. 201803 nov. 2018

Serie de la publicación

Nombre2018 IEEE 2nd Colombian Conference on Robotics and Automation, CCRA 2018

Conferencia

Conferencia2nd IEEE Colombian Conference on Robotics and Automation, CCRA 2018
País/TerritorioColombia
CiudadBarranquilla
Período01/11/1803/11/18

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