The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
navigation Overview
The navigation R package allows to analyze
the impact of sensor error modeling on performance of integrated
navigation (sensor fusion) based on IMU, GPS (generally speaking, GNSS),
and barometer data. The package allows for one of the two major
tasks:
Sensor model evaluation: The user shall provide a reference trajectory, along which the navigation performance is being evaluated using different sensor error models. Perfect sensor data along that reference trajectory are generated, and then corrupted by sensor error coming from either simulation based on the error models provided by user, or directly from user input (option to be added). Integrated navigation is then performed, whit a separately provided error model to be used within the Extended Kalman Filter (EKF). The user can easily introduce GPS outage periods, and there is a growing number of tools to visualize and summarize the results.
Integrated navigation (sensor fusion) As a natural by-product of the first main application, integrated navigation is also available to users. Providing only the sensor data and the sensor error model to be used within the navigation filter, the user is able to perform integrated navigation using the package and also benefit from a subset of visualization tools.
Caution A flat non-rotating Earth model is assumed throughout the package. We consider this not to be of major impact on sensor model evaluation, as the main contributor there are match/mismatch between the additive sensor errors and the provided error models to the navigation filter. For absolute navigation results though, is long distances and high speeds are involved, such simplifications start to have measurable impact on results. Also, attitude parameterization is done via Euler angles at the moment, bringing their interinsic limitations, such as the singularity at pitch \(=\pm \pi/2\). This limitation may be resolved in future using other attitude parameterizations such as quaternions.
The navigation package is currently only available on
GitHub.
Furthermore, the package is currently in an early development phase. Some functions are stable and some are still in development. Moreover, the GitHub version is subject to modifications/updates which may lead to installation problems or broken functions.
You can install the latest version of the navigation
package with:
# Install devtools package if not already installed
if (!require("devtools")) {
install.packages("devtools")
}
# Install package from GitHub
devtools::install_github('https://github.com/SMAC-Group/navigation')R librariesThe navigation package relies on a limited number of
external libraries, but notably on Rcpp and
RcppArmadillo which require a C++ compiler for
installation, such as for example gcc.
Find detailled usage instructions, examples and the user’s manual at the package website.
This source code is released under is the GNU AFFERO GENERAL PUBLIC LICENSE (AGPL) v3.0.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.