Paul Riseborough f23f0b1035 EKF: fix bugs in stationary process model covariance prediction
Noise variance for stationary states was  being overwritten by the covariance prediction operations for the kinematic states
Unwanted states could end up with non-zero covariance values
The forced symmetry operation was being applied too late to be effective
2016-05-05 21:23:03 +10:00
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2016-02-17 17:38:21 -08:00
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2016-04-16 21:46:50 -04:00
2015-10-26 16:06:30 +01:00
2015-10-26 15:41:25 +01:00
2016-02-22 23:49:58 -08:00

ECL

Very lightweight Estimation & Control Library.

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

Prerequisite:

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