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This repository contains maplab 2.0, an open research-oriented mapping framework, written in C++, for multi-session and multi-robot mapping. For the original maplab release from 2018 the source code and documentation is available here.
For documentation, tutorials and datasets, please visit the wiki.
Features
Robust visual-inertial odometry with localization
Large-scale multisession mapping and optimization
Multi-robot mapping and online operation
Dense reconstruction
A research platform extensively tested on real robots
Installation and getting started
The following articles help you with getting started with maplab and ROVIOLI:
More detailed information can be found in the wiki pages.
Research Results
The maplab framework has been used as an experimental platform for numerous scientific publications. For a complete list of publications please refer to Research based on maplab.
Citing
Please cite the following papers maplab and maplab 2.0 when using our framework for your research:
@article{schneider2018maplab,
title={{maplab: An Open Framework for Research in Visual-inertial Mapping and Localization}},
author={T. Schneider and M. T. Dymczyk and M. Fehr and K. Egger and S. Lynen and I. Gilitschenski and R. Siegwart},
journal={IEEE Robotics and Automation Letters},
volume={3},
number={3},
pages={1418--1425},
year={2018},
doi={10.1109/LRA.2018.2800113}
}
@article{cramariuc2022maplab,
title={{maplab 2.0 – A Modular and Multi-Modal Mapping Framework}},
author={A. Cramariuc and L. Bernreiter and F. Tschopp and M. Fehr and V. Reijgwart and J. Nieto and R. Siegwart and C. Cadena},
journal={IEEE Robotics and Automation Letters},
volume={8},
number={2},
pages={520-527},
year={2023},
doi={10.1109/LRA.2022.3227865}
}