kritz bcd3869ca2
CleanUp of the EKFGSF (#769)
* Add const modifiers

* Pass imu data as sampe

* Remove emergency reset request counter

* Improve matrix library usage

* Indentation fix

* Do not store innovation matrix for each model

* Make weights a separate vector

* EKF: Add missing alignment transfer to AHRS solutions

* EKF: Replace #define constants with static constexpr

* EKF: Move declaration for weights into GSF section

* EKF: Fix documentation error

Co-authored-by: Paul Riseborough <p_riseborough@live.com.au>
2020-03-06 19:37:35 +11:00
2020-03-03 11:23:45 +01:00
2018-05-04 01:22:10 -04:00
2020-03-06 19:37:35 +11:00
2019-07-22 10:24:51 +02:00
2018-05-05 15:25:54 -04:00
2020-01-27 10:42:17 +03:00
2019-11-22 11:16:51 -05:00
2015-10-26 15:41:25 +01:00
2020-01-24 09:03:48 +03:00

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 static library which can be included in projects:

make
// OR
mkdir build/
cd build/
cmake ..
make

Testing ECL

By following the steps you can run the unit tests

make test
Description
a mirror of official PX4-Autopilot
Readme BSD-3-Clause 587 MiB
Languages
C++ 51.2%
C 38.5%
CMake 4.7%
Python 3.9%
Shell 1.3%
Other 0.1%