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A Modular and Multi-Modal Mapping Framework

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ethz-asl/maplab

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Ubuntu 18.04+ROS melodic:Build StatusDocumentation Status

News

  • November 2022: maplab 2.0 initial release with new features and sensors.Paper.
  • July 2018: Check out our release candidate with improved localization and lots of new features!Release 1.3.
  • May 2018: maplab was presented atICRA in Brisbane.Paper /Initial Release.

Description

This repository containsmaplab 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 availablehere.

For documentation, tutorials and datasets, please visit thewiki.

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 thewiki 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 toResearch based on maplab.

Citing

Please cite the following papersmaplab andmaplab 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}}

Additional Citations

Certain components of maplab are directly based onother publications.

Credits

  • Thomas Schneider
  • Marcin Dymczyk
  • Marius Fehr
  • Kevin Egger
  • Simon Lynen
  • Mathias Bürki
  • Titus Cieslewski
  • Timo Hinzmann
  • Mathias Gehrig
  • Florian Tschopp
  • Andrei Cramariuc
  • Lukas Bernreiter

For a complete list of contributors, have a look atCONTRIBUTORS.md


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