Paul Riseborough bba3f70a0e EKF: reduce prediction time step from 12 to 8 sec
Reduces susceptibility to incorrect estimation of acceleration bias during sustained yaw rate.
Requires an increase in RAM allocation of 837 Bytes to allow for the longer IMU and output predictor buffers that can be created.
2017-11-02 09:27:33 +01:00
2017-10-22 20:37:40 +02:00
2016-02-17 17:34:28 -08:00
2016-02-17 17:38:21 -08:00
2016-05-19 18:14:33 +10:00
2017-08-25 10:09:11 -04:00
2015-10-26 15:41:25 +01:00
2016-10-08 11:00:52 +02:00

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.

Building EKF Library

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
S
Description
a mirror of official PX4-Autopilot
Readme BSD-3-Clause
587 MiB
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