mirror of https://gitee.com/mirrors_PX4/PX4-Autopilot.git synced 2026-06-27 04:20:35 +08:00

T

Paul Riseborough a53ad9c261 EKF: Add missing optical flow ground motion protection

Motion compensated optical flow rates are supposed to be zeroed if reported flow quality is below the minimum threshold value when on ground.
The comments and logic have been amended to be consistent and make the design intent clearer.

2018-08-28 21:31:50 +02:00

airdata

set MODULE define for each library

2018-05-27 20:08:47 +02:00

attitude_fw

replace geo _wrap_pi with matrix::wrap_pi

2018-06-11 00:16:17 +02:00

docs

doxygen cmake and Jenkins support

2018-05-04 01:22:10 -04:00

EKF

EKF: Add missing optical flow ground motion protection

2018-08-28 21:31:50 +02:00

geo

EKF angle constants in degrees for readability (#465 )

2018-07-05 08:55:22 +10:00

geo_lookup

set MODULE define for each library

2018-05-27 20:08:47 +02:00

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

validation DataValidatorGroup::get_best() nullptr check

2018-06-14 08:14:53 +02:00

.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 ignore doxygen option when not a standalone build (#488 )

2018-07-30 12:23:24 -04:00

CONTRIBUTING.md

Create CONTRIBUTING.md

2016-05-19 18:14:33 +10:00

ecl.h

cmake standalone build

2018-05-03 22:25:36 -04:00

Jenkinsfile

Jenkins update PX4BuildBot credential usage

2018-08-12 13:38:35 -04:00

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

update README build badge (travis-ci -> jenkins)

2018-01-05 02:39:02 -05:00

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 BSD 3-clause licensed.

EKF Documentation

EKF Documentation and Tuning Guide

Building EKF

Prerequisites:

Matrix: A lightweight, BSD-licensed matrix math library: https://github.com/px4/matrix - it is automatically included as submodule.

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