PX4 Autopilot Software
Go to file
Lucas De Marchi 2240eb6b4f Move __STDC_FORMAT_MACROS to build system (#174)
__STDC_FORMAT_MACROS changes the behavior of inttypes.h to allow
defining format macros for printf-like functions. It needs to be defined
before any include is done, otherwise due to include chains and header
guards it may not take effect.

Instead of defining it everywhere it is used, let the PX4 build system
to deal with it.
2016-07-10 16:29:51 +02:00
EKF Move __STDC_FORMAT_MACROS to build system (#174) 2016-07-10 16:29:51 +02:00
attitude_fw Attitude fw: Remove builtin perf counters 2016-05-05 20:06:01 +02:00
l1 l1 initialize everything 2016-04-25 14:39:11 -04:00
matlab promote to float (for internal representation) before scaling by format multiplier (#175) 2016-07-10 11:13:18 +02:00
matrix@95e3d7d6ce add matrix submodule 2016-02-17 17:38:21 -08:00
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 -> STACK_MAIN 2016-04-16 21:46:50 -04:00
CONTRIBUTING.md Create CONTRIBUTING.md 2016-05-19 18:14:33 +10:00
LICENSE Initial commit 2015-10-26 15:41:25 +01:00
README.md Add DOI 2016-06-12 11:51:54 +02:00
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