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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A Modular and Multi-Modal Mapping Framework
| Date | Stars |
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| 2026-07-24 | 2857 |
| 2026-07-25 | 2857 |
| 2026-07-28 | 2857 |
| 2026-07-30 | 2857 |
| 2026-08-06 | 2857 |
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<img src="https://raw.githubusercontent.com/ethz-asl/maplab/master/docs/pages/logos/maplab_new.png" width="500"> *Ubuntu 18.04+ROS melodic*: [](https://jenkins.asl.ethz.ch/job/maplab_nightly) [](https://jenkins.asl.ethz.ch/job/maplab_docs) ## News * **November 2022:** maplab 2.0 initial release with new features and sensors. [Paper](https://arxiv.org/pdf/2212.00654.pdf). * **July 2018:** Check out our release candidate with improved localization and lots of new features! [Release 1.3](https://github.com/ethz-asl/maplab/releases/tag/1.3). * **May 2018:** maplab was presented at [ICRA](https://icra2018.org/) in Brisbane. [Paper](https://arxiv.org/abs/1711.10250) / [Initial Release](https://github.com/ethz-asl/maplab/releases/tag/initial_release). ## Description 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](https://github.com/ethz-asl/maplab/releases/tag/1.3). **For documentation, tutorials and datasets, please visit the [wiki](https://maplab.asl.ethz.ch/index.html).** ## Features ### Robust visual-inertial odometry with localization <img src="https://raw.githubusercontent.com/ethz-asl/maplab/master/docs/pages/readme_images/rovio_stairs.gif" width="400"> <img src="https://raw.githubusercontent.com/ethz-asl/maplab/master/docs/pages/readme_images/rviz_cla_vs.gif" width="400"> ### Large-scale multisession mapping and optimization <img src="https://raw.githubusercontent.com/ethz-asl/maplab/master/docs/pages/readme_images/largescale.gif" width="400"> <img src="https://raw.githubusercontent.com/ethz-asl/maplab/master/docs/pages/readme_images/cla.png" width="400"> ### Multi-robot mapping and online operation <img src="https://raw.githubusercontent.com/ethz-asl/maplab/master/docs/pages/readme_images/arche.jpg" width="400"> <img src="https://raw.githubusercontent.com/ethz-asl/maplab/master/docs/pages/readme_images/multirobot.gif" width="400"> ### Dense reconstruction <img src="https://raw.githubusercontent.com/ethz-asl/maplab/master/docs/pages/readme_images/stereo.png" width="400"> <img src="https://raw.githubusercontent.com/ethz-asl/maplab/master/docs/pages/readme_images/pmvs.png" width="400"> ### A research platform extensively tested on real robots <img src="https://raw.githubusercontent.com/ethz-asl/maplab/master/docs/pages/readme_images/topomap.png" width="400"> <img src="https://raw.githubusercontent.com/ethz-asl/maplab/master/docs/pages/readme_images/robots.jpg" width="400"> ## Installation and getting started The following articles help you with getting started with maplab and ROVIOLI: - [Installation on Ubuntu 18.04 or 20.04](https://maplab.asl.ethz.ch/docs/master/pages/installation/A_Installation-Ubuntu.html) - [Introduction to the maplab framework](https://maplab.asl.ethz.ch/docs/master/pages/overview_and_introduction/A_The-Maplab-Framework.html) - [Running ROVIOLI in VIO mode](https://maplab.asl.ethz.ch/docs/master/pages/tutorials-rovioli/B_Running-ROVIOLI-in-VIO-mode.html) - [Basic console usage](https://maplab.asl.ethz.ch/docs/master/pages/tutorials-maplab/basics/A_Basic-Console-Usage.html) - [Console map management](https://maplab.asl.ethz.ch/docs/master/pages/tutorials-maplab/basics/C_Console-map-management.html) **More detailed information can be found in the [wiki pages](https://maplab.asl.ethz.ch/index.html).** ## 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](https://maplab.asl.ethz.ch/docs/master/pages/overview_and_introduction/C_Related-Research.html#additional-citations). ## Cit
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lbern · Switzerland
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Patrick Pfreundschuh · ETH Zurich · Switzerland
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Victor Reijgwart · RAI Institute · Switzerland
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Benjamin Hahn · Google · Switzerland
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Helen Oleynikova · @ethz-asl · Switzerland
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Hermann · Uni Bonn
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Aurélien Labate · France
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HuanNguyen
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Miguel A. Vega Torres · @pb40development · Germany
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e0196e82eef46ed7, topic:slam