dark0707
/
px4-firmware
forked from Archive/PX4-Autopilot
1
0
Fork 0
Code Pull Requests Activity
PX4 Autopilot Software
1,187 Commits 514 Branches 136 Tags 601 MiB
C++ 49%
C 41.1%
CMake 4.5%
Python 3.7%
Shell 1.1%
Other 0.3%
Go to file
Daniel Agar 5cd331055f cmake standalone build pin PX4/Matrix to commit 
- 6b0777d815
 		2019-03-05 12:35:37 -05:00
EKF EKF mag_fusion avoid unnecessary double promotion 2019-02-08 08:24:24 -05:00
airdata set MODULE define for each library 2018-05-27 20:08:47 +02:00
attitude_fw ECL_Controller base needs virtual destructor 2018-08-30 12:07:25 -04:00
docs doxygen cmake and Jenkins support 2018-05-04 01:22:10 -04:00
geo replace <cfloat> with <float.h> 2019-01-06 12:09:05 -05:00
geo_lookup EKF: protect declination fusion from badly conditioned earth field estimates 2019-01-31 09:53:57 -05:00
l1 l1 position controller: make sure that a NAN roll setpoint 2018-08-21 16:16:33 +02:00
mathlib visual studio build compatibility 2018-05-03 22:25:36 -04:00
tecs TECS: Do not even calculate integrator state if integrator gain is zero 2018-06-29 15:55:46 +00:00
validation replace <cfloat> with <float.h> 2019-01-06 12:09:05 -05:00
.gitignore code coverage cmake and Jenkins support 2018-05-04 01:40:23 -04:00
.travis.yml travis-ci basic build script 2018-05-05 15:25:54 -04:00
CMakeLists.txt cmake standalone build pin PX4/Matrix to commit 2019-03-05 12:35:37 -05:00
CONTRIBUTING.md Create CONTRIBUTING.md 2016-05-19 18:14:33 +10:00
Jenkinsfile EKF tests update SWIG usage and use latest containers 2019-02-03 18:27:00 -05:00
LICENSE Initial commit 2015-10-26 15:41:25 +01:00
Makefile cmake and Jenkins add basic address santiizer test buld 2018-05-05 16:11:04 -04:00
README.md README.md update Jenkins build status icon and url 2018-09-18 20:16:29 -04:00
ecl.h EKF tests update SWIG usage and use latest containers 2019-02-03 18:27:00 -05:00

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 BSD 3-clause licensed.

EKF Documentation

Building EKF

Prerequisites:

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