FAN Bangkui, ZHANG Ruiyu. Unmanned Aircraft System and Artificial Intelligence[J]. Geomatics and Information Science of Wuhan University, 2017, 42(11): 1523-1529. DOI: 10.13203/j.whugis20170177
Citation: FAN Bangkui, ZHANG Ruiyu. Unmanned Aircraft System and Artificial Intelligence[J]. Geomatics and Information Science of Wuhan University, 2017, 42(11): 1523-1529. DOI: 10.13203/j.whugis20170177

Unmanned Aircraft System and Artificial Intelligence

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  • Author Bio:

    FAN Bangkui, Academician of Chinese Academy of Engineering, specializes in systematic design and key technologies of UAS. E-mail: fanbangkui@126.com

  • Corresponding author:

    ZHANG Ruiyu, engineer. E-mail: Z5104@163.com

  • Received Date: June 15, 2017
  • Available Online: July 26, 2023
  • Published Date: November 04, 2017
  • An Unmanned Aerial Vehicle (UAV) is reusable, consisting of power system and unmanned autopilot controller; while a Unmanned Aircraft System (UAS) is a system controlled manually, automatically or independently to perform different kinds of tasks This article summarizes and analyzes the characteristics of UAV and UAS in different historical stages; secondly, this article emphasizes UAV and UAS requirements for Artificial Intelligence technologies; finally, this article discusses potential influences on UAS. A UAS usually consists of UAV platforms, payloads for tasks, datalink devices, information processing devices, and integrated support equipment. Research on UAS and UAV started from the beginning of the 20th century, and with the development of electronics, mechanics, material science, and computer science; UAS has rapidly developed over the last century, especially the latest thirty or forty years. With the rapid development of Artificial Intelligence over the first 20 years of the 21st century ushered in a new stage of UAS and UAV development.
  • [1]
    陈宗基, 魏金钟, 王英勋, 等.无人机自主控制等级及其系统结构研究[J].航空学报, 2011, 32(6):1075-1083 http://d.wanfangdata.com.cn/Periodical/hkxb201106014

    Chen Zongji, Wei Jinzhong, Wang Yingxun. et al.UAV Autonomous Control Leves and System Structure[J].Acta Aeronautica et Astronautica Sinica, 2011, 32(6):1075-1083 http://d.wanfangdata.com.cn/Periodical/hkxb201106014
    [2]
    United States Department of Defense. Unmanned Systems Integrated Roadmap FY 2011-2036[EB/OL]. http://agris.fao.org/openagris/search.do?recordID=AV2012087990, 2012
    [3]
    桂子. 娱乐性无人机应用畅想[EB/OL]. http://www.50cnnet.com, 2015

    Gui Zi. Vista for Applications of Entainment Grade Unmanned Aerial Vehicals[EB/OL]. http://www.50cnnet.com, 2015
    [4]
    梁亚滨.武装无人机的应用:挑战与影响[J].外交评论, 2014, DOI: 10.13569/j.cnki.far.2014.01.143

    Liang Yabin. Applications for the Armed Drones:Challenge and Influences[J]. Foreign Comments, 2014, DOI: 10.13569/j.cnki.far.2014.01.143
    [5]
    长江商报. 美国无人机成冷血杀手[EB/OL]. http://m.iamsharer.com/c/432568.htm, 2013

    The Yangtze River Business.American Drones Become Cold Blood Killers[EB/OL].http://m.iamsharer.com/c/432568.htm, 2013
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