A systematic review of machine learning techniques for GNSS use cases
A Siemuri, K Selvan, H Kuusniemi… - … on Aerospace and …, 2022 - ieeexplore.ieee.org
In terms of the availability and accuracy of positioning, navigation, and timing (PNT), the
traditional Global Navigation Satellite System (GNSS) algorithms and models perform well …
traditional Global Navigation Satellite System (GNSS) algorithms and models perform well …
Urban localization using robust filtering at multiple linearization points
We propose a robust Bayesian filtering framework for state and multi-modal uncertainty
estimation in urban settings by fusing diverse sensor measurements. Our framework …
estimation in urban settings by fusing diverse sensor measurements. Our framework …
[图书][B] Neural network augmented tightly coupled Kalman filter for low-cost reduced inertial navigation sensor and GPS integration
L Chanthalansy - 2011 - library-archives.canada.ca
Abstract<? Pub Inc> Current navigation systems rely upon an integrated Inertial Navigation
System (INS) and a Global Positioning System (GPS) to determine vehicular position …
System (INS) and a Global Positioning System (GPS) to determine vehicular position …