Bronze level automatically awarded US beta

This data has achieved Bronze level on 25 October 2015 which means this data makes a great start at the basics of publishing open data.

A Safe, Legal, and Autonomous See-and-Avoid System for UAVs Project


Description

Aerotonomy, Incorporated, and subcontractors Georgia Tech and the AAI Corporation will combine state-of-the-art adaptive UAV control, optimized sensor suites, innovative strategic and tactical maneuvering systems, and a wealth of experience in manufacturing and operating Tactical UAVs (including the Shadow 200) to create a practical and autonomous See-and-Avoid System (SAAS) for safe UAV operations within the National Airspace System (NAS) and outside of Special Use Airspace. The SAAS will enable UAVs to autonomously perform both strategic maneuvering to follow the same predictable "right-of-way rules" followed by manned aircraft, as well as tactical maneuvering to perform close quarter collision avoidance. The primary innovation in this project is the Strategic Maneuvering System (SMS), a rule-based "maneuver executive" that will enable a UAV to interact with manned aircraft or other UAVs in a manner that is predictable and consonant with NAS operating procedures.


General Information


Legal Information

This dataset has been created by US Government which means it is required to be in the public domain. However US copyright law only allows open access by US citizens, we have assumed the data is equivalently licensed as CC0 for the rest of the world as this is in the spirit of the US Government’s Open Data policy.
  • The rights statement is at

    http://catalog.data.gov/dataset/a-safe-legal-and-autonomous-see-and-avoid-system-for-uavs-project Do you think this data is incorrect? Let us know

  • Outside the US, this data is available under

    Creative Commons CCZero Do you think this data is incorrect? Let us know

  • There are

    yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know

  • The content is available under

    Creative Commons CCZero Do you think this data is incorrect? Let us know

  • The rights statement includes data about

    its data licence Do you think this data is incorrect? Let us know

  • This data contains

    no data about individuals Do you think this data is incorrect? Let us know


Practical Information

  • The data appears in this collection

    http://catalog.data.gov/organization/nasa-gov Do you think this data is incorrect? Let us know

  • The accuracy or relevance of this data will

    go out of date but it is timestamped Do you think this data is incorrect? Let us know

  • The data is

    backed up offsite Do you think this data is incorrect? Let us know


Technical Information

  • This data is published at

    http://techport.nasa.gov/xml-api/5628 Do you think this data is incorrect? Let us know

  • This data is

    machine-readable Do you think this data is incorrect? Let us know

  • The format of this data is

    a standard open format Do you think this data is incorrect? Let us know


Social Information

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  • The documentation about each distribution includes machine-readable data for

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  • The documentation about each distribution includes machine-readable data for

    a URL to download the dataset Do you think this data is incorrect? Let us know

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    type of download media Do you think this data is incorrect? Let us know

  • Find out how to contact someone about this data at

    http://catalog.data.gov/dataset/a-safe-legal-and-autonomous-see-and-avoid-system-for-uavs-project Do you think this data is incorrect? Let us know

  • Find out how to suggest improvements to publication at

    http://www.data.gov/issue/?media_url=http://catalog.data.gov/dataset/a-safe-legal-and-autonomous-see-and-avoid-system-for-uavs-project Do you think this data is incorrect? Let us know