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305a95aef9
* Unfortunately, due to the SWIG dependency, we need sudo to install on Travis (conflicts when adding with debian-sid source prevent using addons) which means we cannot use the container-based infrastructure anymore. * Building the Python bindings requires g++5 (at least with -Werr set). * When building the Python bindings on Travis, the numpy includes are not found by cmake, so they have to be added separately by running a Python process with `numpy.get_include()` * The build script now (somewhat clumsily) depends on the RUN_PYTEST environment variable. If it is set to anything other than "", it will make the tests and run tests and benchmarks
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