GithubHelp home page GithubHelp logo

imclab / polaris Goto Github PK

View Code? Open in Web Editor NEW

This project forked from seekshreyas/polaris

0.0 2.0 0.0 381 KB

The Extended Kalman Filter (EKF) for aircraft

Home Page: http://dronedynamics.com/polaris/

License: Apache License 2.0

polaris's Introduction

Polaris - inertial navigation system

Polaris is open-source inertial nagivation software (INS) for fixed-wing aircraft. It provides realtime estimates to allow for higher-level navigation software to be developed.

For installation instructions (you will need to follow these if you want to get it working), more details and screenshots go to http://dronedynamics.com/polaris/.

Basics

Polaris is a software INS that runs against X-Plane out of the box but can also be used on real hardware.

Polaris is designed to take the following inputs:

  • 3-axis accelerometer
  • 3-axis gyro
  • 3-axis magnetometer (including magnetic declination lookup table)
  • Static air sensor (altitude)
  • Differential air sensor (indicated airspeed)
  • GPS
  • Various temperatures (both on the sensors and ambient)

And turn those inputs into a realtime probabilistic model with the following estimates:

  • Orientation (pitch, roll, and yaw)
  • Position (longitude, latitude, and altitude)
  • Speeds (indicated airspeed, true airspeed, speed over ground)
  • Wind (x/y/z axis windspeed estimates which help make a more accurate dead-reckoning estimate)

Features

Polaris is able to build and maintain its realtime probabilistic model primarily using an (extended Kalman filter](http://en.wikipedia.org/wiki/Extended_Kalman_filter) (EKF). There are two major steps to the EKF: predicting your current state and updating your model based on what actually happened.

Right now Polaris uses Euler angles but in the future it may use quaternions.

More to come in this section…

Todo

  1. Local magnetic declination lookup table
  2. Get course over ground working (emulated or hpath)
  3. Get cpress working (true airspeed / indicated airspeed ratio)
  4. Code up alternate algorithms such as DCM and benchmark it against the EKF
  5. Quaternion-based EKF
  6. More advanced display/logging
  7. Clean up website, installation instructions
  8. Make a screencast for setting it up and explaining it
  9. Port to other platforms
  10. Email Austin Meyer (X-Plane) and see if he's willing to include raw magnetometer values
  11. Once all the algorithms are verified (including a write-up on the testing perhaps), introduce sensor noise
  12. Your idea here ✈ [email protected]

Issues

Have a bug or feature request? Please create an issue here on GitHub!

https://github.com/dronedynamics/polaris/issues

Authors

Ryan Beall

Tim Trueman

Add your name above this line if you send a pull request…

License

Copyright 2011 Tim Trueman and Ryan Beall

Licensed under the Apache License, Version 2.0: http://www.apache.org/licenses/LICENSE-2.0

polaris's People

Contributors

timtrueman avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.