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vista

Data-driven simulation for training and evaluating full-scale autonomous vehicles.

https://github.com/vista-simulator/vista

Science Score: 20.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: arxiv.org, ieee.org
  • ✓
    Committers with academic emails
    3 of 6 committers (50.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.4%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Data-driven simulation for training and evaluating full-scale autonomous vehicles.

Basic Info
  • Host: GitHub
  • Owner: vista-simulator
  • License: other
  • Language: Python
  • Default Branch: main
  • Homepage: https://vista.csail.mit.edu
  • Size: 31 MB
Statistics
  • Stars: 399
  • Watchers: 21
  • Forks: 88
  • Open Issues: 18
  • Releases: 0
Created about 4 years ago · Last pushed over 2 years ago
Metadata Files
Readme License

README.rst 

==================================
=======
VISTA Driving Simulator
=======================

|Docs| |PyPIDownloads| |Stars| |PyPI|

.. |PyPIDownloads| image:: https://pepy.tech/badge/vista
   :target: https://pepy.tech/project/vista

.. |Stars| image:: https://img.shields.io/github/stars/vista-simulator/vista?logo=GitHub&color=green
   :target: https://github.com/vista-simulator/vista/stargazers

.. |PyPI| image:: https://img.shields.io/pypi/v/vista?logo=PyPI
   :target: https://pypi.org/project/vista

.. |Docs| image:: https://assets.readthedocs.org/static/projects/badges/passing-flat.svg
   :target: https://vista.csail.mit.edu


.. image:: https://raw.githubusercontent.com/vista-simulator/vista/main/docs/source/_static/overview.jpg

`VISTA `_ is a data-driven simulation engine for autonomous driving perception and control. The VISTA API provides an interface for transforming real-world datasets into virtual environments with dynamic agents, sensor suites, and task objectives. Because VISTA is data-driven, it is side-steps many of the traditional issues of simulators, such as their lack of photorealism and ability to accurately model reality.


Installation
++++++++++++
VISTA can be installed into your Python 3 environment using the `PyPi package interface `_.

::

    >> pip install vista

Please also ensure that you have all required dependencies to successfully run VISTA. Details on dependencies are outlined in the `documentation `_.


|paper1| |paper2| |paper3|

.. |paper1| image:: https://raw.githubusercontent.com/vista-simulator/vista/main/docs/source/_static/paper1.jpg
  :target: https://ieeexplore.ieee.org/document/8957584
  :width: 31%

.. |paper2| image:: https://raw.githubusercontent.com/vista-simulator/vista/main/docs/source/_static/paper2.jpg
  :target: https://arxiv.org/abs/2111.12083
  :width: 31%

.. |paper3| image:: https://raw.githubusercontent.com/vista-simulator/vista/main/docs/source/_static/paper3.jpg
  :target: https://arxiv.org/abs/2111.12137
  :width: 31%



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:

.. code-block::

    % VISTA 1.0: Sim-to-real RL
    @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 simulation
    @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 simulation
    @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.

Owner

  • Name: vista-simulator
  • Login: vista-simulator
  • Kind: organization

GitHub Events

Total
  • Watch event: 15
  • Issue comment event: 1
  • Fork event: 2
Last Year
  • Watch event: 15
  • Issue comment event: 1
  • Fork event: 2

Committers

Last synced: over 3 years ago

All Time
  • Total Commits: 372
  • Total Committers: 6
  • Avg Commits per committer: 62.0
  • Development Distribution Score (DDS): 0.645
Top Committers
Name Email Commits
Johnson Wang j****0@g****m 132
Alexander Amini x****i@g****m 122
Tsun-Hsuan Wang t****w@m****u 112
Alexander Amini a****i@m****u 3
Zhijian Liu z****s@g****m 2
Alexander Amini a****i@d****U 1
Committer Domains (Top 20 + Academic)
mit.edu: 2 dhcp-10-29-122-139.dyn.mit.edu: 1

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 16
  • Total pull requests: 8
  • Average time to close issues: 19 minutes
  • Average time to close pull requests: 2 minutes
  • Total issue authors: 15
  • Total pull request authors: 6
  • Average comments per issue: 1.94
  • Average comments per pull request: 0.25
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 0
  • Average time to close issues: 27 minutes
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 1.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • vgeruslu (2)
  • msuthe43 (1)
  • rayguan97 (1)
  • FahadRazaKhan (1)
  • JackieLee-cn (1)
  • Philan014 (1)
  • mreece813 (1)
  • Jung132914 (1)
  • MarkCodering (1)
  • ParvezAlam123 (1)
  • rabdumalikov (1)
  • JustQJ (1)
  • graceliuu (1)
  • AdithyaVenkateshMohan (1)
  • ahar (1)
Pull Request Authors
  • aamini (3)
  • oliverc1623 (1)
  • MarkCodering (1)
  • lucasw (1)
  • kumar-selvakumaran (1)
  • chaihahaha (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 79 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 9
  • Total maintainers: 1
pypi.org: vista

Data-driven simulation for training and evaluating full-scale autonomous vehicles

  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 79 Last month
Rankings
Stargazers count: 3.5%
Forks count: 5.2%
Dependent packages count: 10.0%
Average: 12.7%
Dependent repos count: 21.7%
Downloads: 23.1%
Maintainers (1)
amini
Last synced: 12 months ago

Dependencies

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