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PX4 Autopilot Software
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Daniel Agar 0d02bb2612 ecl attitude_fw fix excessive body fixed turn offset 
-limit body fixed turn offset contrained roll to possible
roll setpoint range
-fixes #181
 		2016-10-06 09:03:48 +02:00
EKF EKF: publish ekf solution status summary data 2016-10-06 09:02:29 +02:00
attitude_fw ecl attitude_fw fix excessive body fixed turn offset 2016-10-06 09:03:48 +02:00
l1 l1 initialize everything 2016-04-25 14:39:11 -04:00
matlab scripts: derive conversion from polar to cartesian wind state covariance 2016-08-11 15:26:21 +02:00
matrix@db4374882b Update matrix. 2016-10-06 09:03:10 +02:00
validation data_validator cleanup: use dimensions variable, use static for some constants (#167) 2016-06-30 13:28:01 +02:00
.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 travis: just use libeigen3-dev 2016-05-10 17:59:01 +02:00
CMakeLists.txt cmake: stack size args cleanup 2016-09-28 08:23:18 +02:00
CONTRIBUTING.md Create CONTRIBUTING.md 2016-05-19 18:14:33 +10:00
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build.sh build.sh: if cmake fails, don't continue with make 2016-05-10 17:59:01 +02:00
ecl.h ecl.h: guard PX4 defines with ifdef 2016-06-02 16:29:55 +01:00

README.md

ECL

Very lightweight Estimation & Control Library.

DOI 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

Prerequisites:

Ubuntu:

sudo apt-get install libeigen3-dev

Mac

brew install eigen

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

Alternatively, just run:

./build.sh