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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. 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 ## The Preintegrated IMU Factor
GTSAM includes a state of the art IMU handling scheme based on 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 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) - 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. If you are using the factor in academic work, please cite the publications above.