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Merge pull request #1265 from borglab/zenodo

release/4.3a0
Varun Agrawal 2022-08-09 12:17:35 -04:00 committed by GitHub
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README.md
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@ -64,6 +64,29 @@ GTSAM 4.1 added a new pybind wrapper, and **removed** the deprecated functionali
We provide support for [MATLAB](matlab/README.md) and [Python](python/README.md) wrappers for GTSAM. Please refer to the linked documents for more details.
## Citation
If you are using GTSAM for academic work, please use the following citation:
```
@software{gtsam,
author = {Frank Dellaert and Richard Roberts and Varun Agrawal and Alex Cunningham and Chris Beall and Duy-Nguyen Ta and Fan Jiang and lucacarlone and nikai and Jose Luis Blanco-Claraco and Stephen Williams and ydjian and John Lambert and Andy Melim and Zhaoyang Lv and Akshay Krishnan and Jing Dong and Gerry Chen and Krunal Chande and balderdash-devil and DiffDecisionTrees and Sungtae An and mpaluri and Ellon Paiva Mendes and Mike Bosse and Akash Patel and Ayush Baid and Paul Furgale and matthewbroadwaynavenio and roderick-koehle},
title = {borglab/gtsam},
month = may,
year = 2022,
publisher = {Zenodo},
version = {4.2a7},
doi = {10.5281/zenodo.5794541},
url = {https://doi.org/10.5281/zenodo.5794541}
}
```
You can also get the latest citation available from Zenodo below:
[![DOI](https://zenodo.org/badge/86362856.svg)](https://doi.org/10.5281/zenodo.5794541)
Specific formats are available in the bottom-right corner of the Zenodo page.
## The Preintegrated IMU Factor
GTSAM includes a state of the art IMU handling scheme based on
@ -73,7 +96,7 @@ GTSAM includes a state of the art IMU handling scheme based on
Our implementation improves on this using integration on the manifold, as detailed in
- Luca Carlone, Zsolt Kira, Chris Beall, Vadim Indelman, and Frank Dellaert, _"Eliminating conditionally independent sets in factor graphs: a unifying perspective based on smart factors"_, Int. Conf. on Robotics and Automation (ICRA), 2014. [[link]](https://ieeexplore.ieee.org/abstract/document/6907483)
- Christian Forster, Luca Carlone, Frank Dellaert, and Davide Scaramuzza, "IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation", Robotics: Science and Systems (RSS), 2015. [[link]](http://www.roboticsproceedings.org/rss11/p06.pdf)
- Christian Forster, Luca Carlone, Frank Dellaert, and Davide Scaramuzza, _"IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation"_, Robotics: Science and Systems (RSS), 2015. [[link]](http://www.roboticsproceedings.org/rss11/p06.pdf)
If you are using the factor in academic work, please cite the publications above.