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Paul Riseborough e9ccfdd484 EKF: Update derivation scripts and outputs 
Work around limitation in Symbolic toolbox environment space by incrementally saving and clearing workspace
Remove vehicle vertical position from optical flow prediction equations (use range measurement instead) and regenerate auto-code
Remove legacy optical flow auto-code conversion method as it is not required now a work around for symbolic toolbox limitations has been developed
Fix out of date syntax
2016-03-11 11:03:43 +11:00
attitude_fw
checked out attitude fw folder from master
2015-12-19 09:37:40 +01:00
EKF
EKF: Set initial optical flow fusion monitor outputs to zero
2016-03-11 11:03:43 +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%