dzunigan/uma_vi_tools

Useful C++ and Python tools for the evaluation of visual-inertial odometry/SLAM methods with the UMA-VI dataset

UMA_VI Dataset Evaluation Tools

Useful C++ and Python tools for the evaluation of visual-inertial odometry/SLAM methods with the UMA-VI dataset

Authors: David Zuñiga-Noël, Alberto Jaenal, Ruben Gomez-Ojeda, Javier Gonzalez-Jimenez

License: GPLv3

1. Dependencies (C++ only)

• Boost (1.58.0.1ubuntu1 tested)

  sudo apt install libboost-all-dev
  

• CMake (3.5.1-1ubuntu1 tested)

  sudo apt install cmake
  

• Eigen (3.3~beta1-2 tested)

  sudo apt install libeigen3-dev
  

• Gflags (2.1.2-3 tested)

  sudo apt install libgflags-dev
  

2. Build

Once all dependencies are installed, proceed to build the source code with the automated build script provided. Simply run the following commands:

git clone --recursive https://github.com/dzunigan/uma_vi_tools.git
cd uma_vi_tools
bash build.sh -j2

The compiled executable should be inside the bin directory.

3. Usage