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PX4 Autopilot Software
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Paul Riseborough 4fa1e9c651 EKF: Fix timing errors in state prediction 
IMU corrections were being applied at the wrong time horizon to the EKF states
IMU downsampling rotates the delta velocities into the orientation produced by the last delta angle, but this wasn't consistent with the way the state prediction was using the delta velocity data.
 		2016-04-30 11:02:19 +10:00
EKF EKF: Fix timing errors in state prediction 2016-04-30 11:02:19 +10:00
attitude_fw fw multiply integrator gain in loop 2016-03-25 17:28:39 -04:00
l1 l1 initialize everything 2016-04-25 14:39:11 -04:00
matlab fix a field name that I missed last time 2016-04-22 17:21:47 -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 cmake STACK -> STACK_MAIN 2016-04-16 21:46:50 -04:00
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