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T

Roman c5f750dcca ekf reset: more granular reset / timeout strategy for gps fusion

- if both gps position and velocity measurements are rejected for 7 seconds
do a reset
- if only gps position measurements are rejected then wait for 14 seconds
as we still have velocity measurements to constrain the drift in position
- introduced ecl internal parameter for the timeout

Signed-off-by: Roman <bapstroman@gmail.com>

2016-10-24 11:40:12 +02:00

attitude_fw

ecl attitude_fw fix excessive body fixed turn offset

2016-10-06 09:03:48 +02:00

EKF

ekf reset: more granular reset / timeout strategy for gps fusion

2016-10-24 11:40:12 +02:00

l1 initialize everything

2016-04-25 14:39:11 -04:00

matlab

scripts: derive conversion from polar to cartesian wind state covariance

2016-08-11 15:26:21 +02:00

matrix @ db4374882b

Update matrix.

2016-10-06 09:03:10 +02:00

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

build.sh

build.sh: if cmake fails, don't continue with make

2016-05-10 17:59:01 +02:00

CMakeLists.txt

cmake: stack size args cleanup

2016-09-28 08:23:18 +02:00

CONTRIBUTING.md

Create CONTRIBUTING.md

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

ecl.h

ecl.h: guard PX4 defines with ifdef

2016-06-02 16:29:55 +01:00

LICENSE

Initial commit

2015-10-26 15:41:25 +01:00

README.md

Update README.md

2016-10-08 11:00:52 +02:00

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.

Building EKF Library

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