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PX4 Autopilot Software

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mcsauder f9be23933b Correct deg to rad conversion inversion. Add additional functionality to mathlib to allow standalone compile without Limits.cpp and Limits.hpp files from PX4.		2016-03-05 01:58:58 -07:00
EKF	Correct deg to rad conversion inversion. Add additional functionality to mathlib to allow standalone compile without Limits.cpp and Limits.hpp files from PX4.	2016-03-05 01:58:58 -07:00
attitude_fw	checked out attitude fw folder from master	2015-12-19 09:37:40 +01:00
l1	initialize ECL_L1 variables	2016-03-03 11:22:07 +01:00
matlab	EKF: Updated derivation of Jacobians for direct heading measurement	2016-03-01 15:21:36 +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
CMakeLists.txt	EKF: change estimator base class name to estimation interface	2016-01-31 00:12:07 -08:00
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.

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:

Eigen3: http://eigen.tuxfamily.org/index.php installed

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