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Paul Riseborough f5e2dabc2b
Create CONTRIBUTING.md 		9 years ago
EKF Merge pull request #138 from pickledgator/evTesting 9 years ago
attitude_fw Attitude fw: Remove builtin perf counters 9 years ago
l1 l1 initialize everything 9 years ago
matlab EKF: derive auto-code for quaternion state covariance initialisation 9 years ago
matrix@95e3d7d6ce add matrix submodule 9 years ago
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.gitignore ignore build directory 9 years ago
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.travis.yml travis: just use libeigen3-dev 9 years ago
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CONTRIBUTING.md Create CONTRIBUTING.md 9 years ago
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README.md README: updated build instructions, prerequisites 9 years ago
build.sh build.sh: if cmake fails, don't continue with make 9 years ago
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README.md

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

Prerequisites:

Ubuntu:

sudo apt-get install libeigen3-dev

Mac

brew install eigen

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