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Paul Riseborough 4bd79c9e5d Merge pull request #76 from PX4/pr-fixRngHgtMode 
EKF: Fix bugs preventing use of range finder as primary height source

Flight testing completed and I have checked that the other pending PR #75 rebases cleanly on it.
2016-03-14 09:46:58 +11:00
attitude_fw
Removed spurious print in wheel controller
2016-03-12 11:23:08 +01:00
EKF
EKF: fix travis build error
2016-03-13 21:56:28 +11:00
l1
initialize ECL_L1 variables
2016-03-03 11:22:07 +01:00
matlab
EKF: Update derivation scripts and outputs
2016-03-11 11:03:43 +11:00
matrix @ 95e3d7d6ce
add matrix submodule
2016-02-17 17:38:21 -08:00
validation
Add vibration magnitude estimation
2016-02-25 16:54:24 +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: Add new source files to cmake
2016-03-11 11:03:43 +11:00
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%