.. _acknowledgement:

Acknowledgement
===============

.. toctree::
    :maxdepth: 2

.. note::

  The VISTA simulator is a result of many contributions across many different individuals. The project has been led by `Alexander Amini <https://www.mit.edu/~amini/>`_, `Tsun-Hsuan (Johnson) Wang <https://zswang666.github.io/>`_, and `Daniela Rus <https://danielarus.csail.mit.edu/>`_.

We acknowledge contributions from authors (alphabetically): Alexander Amini, Rohan Banerjee, Igor Gilitschenski, Song Han, Sertac Karaman, Zhijian Liu, Julia Moseyko, Jacob Phillips, Daniela Rus, Wilko Schwarting, Tsun-Hsuan (Johnson) Wang.

We also acknowledge funding support from the National Science Foundation (NSF), Toyota Research Institute (TRI), and NVIDIA.


Citing VISTA
++++++++++++
If VISTA is useful or relevant to your research, we ask that you recognize our contributions by citing the following three original VISTA papers in your research:

`VISTA 1.0: Sim-to-real RL <https://ieeexplore.ieee.org/document/8957584>`_
***************************************************************************

.. code-block::

    @article{amini2020learning,
        title={Learning Robust Control Policies for End-to-End Autonomous Driving from Data-Driven Simulation},
        author={Amini, Alexander and Gilitschenski, Igor and Phillips, Jacob and Moseyko, Julia and Banerjee, Rohan and Karaman, Sertac and Rus, Daniela},
        journal={IEEE Robotics and Automation Letters},
        year={2020},
        publisher={IEEE}
    }

`VISTA 2.0: Multi-sensor <https://arxiv.org/abs/2111.12083>`_
*************************************************************

.. code-block::

    @inproceedings{amini2022vista,
      title={VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles},
      author={Amini, Alexander and Wang, Tsun-Hsuan and Gilitschenski, Igor and Schwarting, Wilko and Liu, Zhijian and Han, Song and Karaman, Sertac and Rus, Daniela},
      booktitle={2022 International Conference on Robotics and Automation (ICRA)},
      year={2022},
      organization={IEEE}
    }


`VISTA 2.0: Multi-agent <https://arxiv.org/abs/2111.12137>`_
************************************************************

.. code-block::

    @inproceedings{wang2022learning,
      title={Learning Interactive Driving Policies via Data-driven Simulation},
      author={Wang, Tsun-Hsuan and Amini, Alexander and Schwarting, Wilko and Gilitschenski, Igor and Karaman, Sertac and Rus, Daniela},
      booktitle={2022 International Conference on Robotics and Automation (ICRA)},
      year={2022},
      organization={IEEE}
    }


Contribution Guidelines
+++++++++++++++++++++++

VISTA is constantly being advanced and has been built with research, extensibility, and community development as a priority. We actively encourage contributions to the VISTA repository and codebase, including issues, enhancements, and pull requests.