GPS and navigation GPS)، GLONASS، GALILEO
Reza Ghasrizadeh; Amirali Nikkhah
Volume 13, Issue 4 , December 2020, , Pages 81-90
Abstract
This paper presents a new approach to eliminating noise and disturbances in the corse alignment process for inertial navigation systemsBecause of extreme fluctuations and quasi-static environments, the corse alignment process often involves a lot of errors and noise. Initially, the coarse alignment process ...
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This paper presents a new approach to eliminating noise and disturbances in the corse alignment process for inertial navigation systemsBecause of extreme fluctuations and quasi-static environments, the corse alignment process often involves a lot of errors and noise. Initially, the coarse alignment process for inertial navigation systems is described exhaustively and then, with the assumption of disturbances and noise, we attempt to nudify to improve and initialize the initialization accuracy. Subsequently, introducing the filtering characteristics of the digital filter for the mutation , Due to the deletion of some of the sensor's main data, identifies the missing parameters and estimates the state variables using the Kalman filter matrix based on the variance of the data error. Identifying the missing parameters of the transformation matrix in the coordinate system using the Kalman filter Matrix is the innovation of this paper, which leads to improved note coarse alignment will be inertial navigation systems.
Masoud Ebrahimi Kachoie; Mohammadvali Arbabmir; Mohammad Norouz
Volume 10, Issue 2 , September 2017, , Pages 33-52
Abstract
Inertial navigation system error increases due to sensor errors with the increase intime. Usually, to prevent the growth of navigation system error, inertial navigationsystems are integrated with sensors or auxiliary systems. The importantly aided system isGNSS. Because of GNSS outage or its invalidity, ...
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Inertial navigation system error increases due to sensor errors with the increase intime. Usually, to prevent the growth of navigation system error, inertial navigationsystems are integrated with sensors or auxiliary systems. The importantly aided system isGNSS. Because of GNSS outage or its invalidity, the other auxiliary sensors are used toincrease the accuracy of the inertial navigation system. In this article, the types ofmethods which are used by imaging camera for navigation or for the accuracyimprovement of an inertial navigation system for UAVs are discussed. After reviewing theliterature in the field of vision navigation in UAVs, the proper classification for visionnavigation methods and the development of these methods are presented. In UAVs, thevision navigation techniques are based more on Map metric, optical flow, featuretracking, odometers and simultaneous localization and mapping.
F. Samadzadegan; Gh. Abdi
Volume 5, Issue 1 , April 2012, , Pages 1-14
Abstract
The increase in capability and performance of digital cameras, processors and image processing algorithms has caused vision-aided navigation of aerial vehicles to be a hot research of interest. In order to determine pose parameters form vision-aided navigation methods, it is common to use automatic image ...
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The increase in capability and performance of digital cameras, processors and image processing algorithms has caused vision-aided navigation of aerial vehicles to be a hot research of interest. In order to determine pose parameters form vision-aided navigation methods, it is common to use automatic image registration using information of reference databases. However, solving registration issue in automatic navigating of aerial vehicles has been considered a complex manner. In this paper, a novel method for vision-aided navigation of aerial vehicles to increase reliability and accuracy of geo-referencing aerial image is proposed. To have robust evaluation, different aerial images with variety of conditions are utilized to assess this method. Obtained results show high performance of proposed method to solve issues related to automatic GEO-referencing of aerial images.
