fly316/PX4-Autopilot
7
0
Fork 0
mirror of https://gitee.com/mirrors_PX4/PX4-Autopilot.git synced 2026-05-02 05:04:08 +08:00
Code Issues Packages Projects Releases Wiki Activity
177 Commits 852 Branches 161 Tags
Go to file
Clone
Open with VS Code Open with VSCodium Open with Intellij IDEA
Download ZIP Download TAR.GZ Download BUNDLE
Paul Riseborough a30830a7a9 EKF: Scale position observation noise with GPS quality 
This allows the filter to adapt to variations in GPs quality.
The range of adjustment in observation noise is limited to the range between a lower limit set by the GPS observation noise parameter and an upper limit set by the no-aiding observation noise.
2016-02-25 10:16:32 +11:00
attitude_fw
checked out attitude fw folder from master
2015-12-19 09:37:40 +01:00
EKF
EKF: Scale position observation noise with GPS quality
2016-02-25 10:16:32 +11:00
l1
Initial import
2015-10-26 16:06:30 +01:00
matlab
EKF: Update magnetometer fusion derivations
2016-02-20 20:09:15 +11:00
matrix @ 95e3d7d6ce
add matrix submodule
2016-02-17 17:38:21 -08:00
validation
Validator: Add function for 1D use of the 3D validator
2016-02-18 09:31:36 +01:00
.gitignore
ignore build directory
2016-02-17 17:34:28 -08:00
.gitmodules
add matrix submodule
2016-02-17 17:38:21 -08:00
.travis.yml
EKF: add travis build
2016-02-17 18:51:40 -08:00
build.sh
EKF: add comments and licensing information to builder files
2016-02-17 19:55:47 -08:00
CMakeLists.txt
EKF: change estimator base class name to estimation interface
2016-01-31 00:12:07 -08:00
ecl.h
Initial import
2015-10-26 16:06:30 +01:00
LICENSE
Initial commit
2015-10-26 15:41:25 +01:00
README.md
Add travis build check badge
2016-02-22 23:49:58 -08:00

README.md

ECL

Very lightweight Estimation & Control Library.

Build Status

This library solves the estimation & control problems of a number of robots and drones. It accepts GPS, vision and inertial sensor inputs. It is extremely lightweight and efficient and yet has the rugged field-proven performance.

The library is currently BSD licensed, but might move to Apache 2.0.

Building EKF Library

Prerequisite:

By following the steps mentioned below you can create a shared library which can be included in projects using -l flag of gcc:

  • mkdir Build/
  • cd Build/
  • cmake ../EKF
  • make
Description
a mirror of official PX4-Autopilot
Readme BSD-3-Clause 587 MiB
Languages
C++ 51.2%
C 38.5%
CMake 4.7%
Python 3.9%
Shell 1.3%
Other 0.1%