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PX4 Autopilot Software
303 Commits 514 Branches 136 Tags 234 MiB
C++ 49%
C 41.1%
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Paul Riseborough 55db3d8725 Merge pull request #94 from priseborough/pr-sensorPosComp 
Add compensation for EKF sensor position offsets
 		2016-04-14 11:45:24 +10:00
EKF EKF: update default time delay parameter values 2016-04-14 08:53:59 +10:00
attitude_fw fw multiply integrator gain in loop 2016-03-25 17:28:39 -04:00
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
CMakeLists.txt added function for fusing airspeed 2016-03-30 17:01:03 +02:00
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
build.sh EKF: add comments and licensing information to builder files 2016-02-17 19:55:47 -08:00
ecl.h Initial import 2015-10-26 16:06:30 +01:00

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