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This repository contains the results of developments made to obtain the Master's degree in Electrical Engineering at the University of Liège

License: MIT License

CMake 2.17% C++ 80.01% C 2.49% Shell 0.22% Fortran 14.74% Python 0.18% JavaScript 0.09% CSS 0.06% Cuda 0.05%

fonder_thesis-2016's Introduction

fonder_thesis-2016 : Computer vision for improving the drone state estimate

This repository contains the results of developments made to obtain the Master's degree in Electrical Engineering at the University of Liège. This includes our C++ implementation of the MSCKF and our synthetic data generator.

All the details about this project are given in the full report of the thesis which can be found at the following URL : http://hdl.handle.net/2268.2/1523

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