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Paul Riseborough 469a7d1711 EKF: rework height reset 
calculate and save the amount that the vertical states have changed and the time of the change
apply the change delta to the output observer states and buffer
2016-04-22 08:43:56 +10:00
attitude_fw
fw multiply integrator gain in loop
2016-03-25 17:28:39 -04:00
EKF
EKF: rework height reset
2016-04-22 08:43:56 +10:00
l1
initialize ECL_L1 variables
2016-03-03 11:22:07 +01:00
matlab
changes some graphics arguments for version compatibility, adds a viewer example to the usage samples script
2016-04-07 16:39:32 -07:00
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
cmake STACK -> STACK_MAIN
2016-04-16 21:46:50 -04:00
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%