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PX4 Autopilot Software
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Paul Riseborough f1b7e7714e EKF: Make average update rate of EKF closer to target 
With the EKF, the average update rate is more important than the instantaneous value as it affects tuning. This patch ensures that the EKF prediction cycle will be performed early if the previous one was late in an attempt to maintain the target update rate.
 		2016-05-05 21:23:03 +10:00
EKF EKF: Make average update rate of EKF closer to target 2016-05-05 21:23:03 +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 EKF: update code fragment text files 2016-05-05 21:23:03 +10:00
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
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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