Inertial Navigation Lite

Inertial Navigation Lite is a user-friendly mobile app designed to serve as a comprehensive attitude estimator and indicator for enthusiasts interested in navigation and augmented reality experiences. It incorporates a set of essential instruments including:

- An artificial horizon/gyro attitude indicator which visually presents the orientation of the device in space.

- An altimeter to measure altitude above sea level.

- A magnetic compass for determining direction.

- A speed meter that calculates both groundspeed and vertical speed.

One of the standout features is the HUD mode. This enhances functionality by providing an augmented reality overlay when used with a camera-enabled device, effectively turning your mobile device into an interactive head-up display.

The app also offers the capability to export real-time measurements and estimations to a text file. This functionality is particularly beneficial for individuals who wish to engage in detailed analysis or post-processing activities, such as integrating the data into platforms like MATLAB, SciLab, or Octave.

For optimal performance, your device should be equipped with accelerometers, gyroscopes, and magnetometers. While GPS and camera are optional, they unlock additional functionalities such as the head-up display mode. Users are advised to tweak the covariance settings to ensure the most accurate attitude estimations, particularly in recognizing gyroscopic data.

It's important to note that Inertial Navigation Lite has not been certified for official navigation purposes by any agency or organization, and comes without any warranty. However, those who encounter any bugs are encouraged to report them for resolution.

Boasting impressive capabilities for a lite version, the app offers vital tools and data for individual exploration or educational purposes. The full version, while not covered here, provides sophisticated enhancements over the lite offering for those seeking an even richer experience with additional navigation and analysis features.