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EKF | 5 years ago | |
airdata | 5 years ago | |
attitude_fw | 5 years ago | |
docs | 7 years ago | |
geo | 6 years ago | |
geo_lookup | 5 years ago | |
l1 | 7 years ago | |
mathlib | 6 years ago | |
tecs | 7 years ago | |
test | 5 years ago | |
validation | 5 years ago | |
.gitignore | 5 years ago | |
.travis.yml | 7 years ago | |
CMakeLists.txt | 5 years ago | |
CONTRIBUTING.md | 9 years ago | |
Jenkinsfile | 5 years ago | |
LICENSE | 9 years ago | |
Makefile | 5 years ago | |
README.md | 5 years ago | |
ecl.h | 5 years ago |
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
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 ..
make
Alternatively, just run:
./build.sh
Testing ECL
By following the steps you can run the in test/
specified checks
make test // run from main folder