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

More Information
  • 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
  • Related Articles

    [1]LIU Jiping, WANG Zhuolu, XU Shenghua, REN Fu, WANG Yong, TANG Qing, ZHOU Tingting. Emergency Surveying and Mapping in the Era of Artificial Intelligence[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240300
    [2]FANG Zhixiang. Theory, Technology and Application Progress for Human being-oriented Observation[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240339
    [3]LIU Shuang, HU Xiangyun, GUO Ning, CAI Hongzhu, ZHANG Henglei, LI Yongtao. Overview on UAV Aeromagnetic Survey Technology[J]. Geomatics and Information Science of Wuhan University, 2023, 48(6): 823-840. DOI: 10.13203/j.whugis20220623
    [4]LIU Wanzeng, CHEN Jun, REN Jiaxin, XU Chen, LI Ran, ZHAI Xi, JIANG Zhihao, ZHANG Ye, PENG Yunlu, WANG Xinpeng. Hybrid Intelligence-Based Framework for Automatic Map Inspecting Technology[J]. Geomatics and Information Science of Wuhan University, 2022, 47(12): 2038-2046. DOI: 10.13203/j.whugis20220683
    [5]GAO Song. A Review of Recent Researches and Reflections on Geospatial Artificial Intelligence[J]. Geomatics and Information Science of Wuhan University, 2020, 45(12): 1865-1874. DOI: 10.13203/j.whugis20200597
    [6]XIONG Wei. Influence of Artificial Intelligence on the Development of some Fields of Surveying and Mapping Technology[J]. Geomatics and Information Science of Wuhan University, 2019, 44(1): 101-105, 138. DOI: 10.13203/j.whugis20180344
    [7]GAO Jingxiang, WANG Jian, LI Zengke. Challenges for the Development of Surveying and Mapping Technology in the Age of Intelligence[J]. Geomatics and Information Science of Wuhan University, 2019, 44(1): 55-61. DOI: 10.13203/j.whugis20180342
    [8]CHENG Pengfei, WEN Hanjiang, LIU Huanling, DONG Jie. Research Situation and Future Development of Satellite Geodesy[J]. Geomatics and Information Science of Wuhan University, 2019, 44(1): 48-54. DOI: 10.13203/j.whugis20180356
    [9]GONG Jianya. Chances and Challenges for Development of Surveying and Remote Sensing in the Age of Artificial Intelligence[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 1788-1796. DOI: 10.13203/j.whugis20180082
    [10]JI Xiaodong, BIAN Fuling. System Requirement Models of Workflow and Their Formal Descriptions[J]. Geomatics and Information Science of Wuhan University, 2005, 30(3): 230-233.
  • Cited by

    Periodical cited type(53)

    1. 樊邦奎,刘德康,张瑞雨,唐家玮,常添. 大规模无人机集群通信定位一体化技术. 信号处理. 2024(01): 7-16 .
    2. 赵拓,张先剑,黄健. 有人/无人机协同空战任务规划技术. 火力与指挥控制. 2024(02): 1-10 .
    3. 王杨. 无人机技术在智慧高速领域的应用探究. 中国交通信息化. 2024(S1): 46-48+57 .
    4. 郑兵,董超,刘涵,熊俊峰,黄朝雄. 无人艇-机协同定位起降关键技术与验证. 水下无人系统学报. 2024(02): 260-266 .
    5. 周水亮,金新,李远青,曾元松. 无人旋翼机载激光武器反蜂群作战概念研究. 应用光学. 2024(03): 495-506 .
    6. 张烨,涂远刚,张良,崔颢,王靖宇. 智能空战深度强化决策方法现状与展望. 航空兵器. 2024(03): 21-31 .
    7. 张盼兴. 基于PPK差分技术的倾斜摄影仿地飞行在矿山测量中的应用. 中国非金属矿工业导刊. 2024(06): 86-88 .
    8. 荆文龙,周成虎,李勇,杨骥,潘屹峰,黄吴蒙,邓应彬,赵晓丹. 基于无人机智能基站的空地协同低空无人机遥感网构建及应用. 遥感学报. 2023(02): 209-223 .
    9. 刘双,胡祥云,郭宁,蔡红柱,张恒磊,李永涛. 无人机航磁测量技术综述. 武汉大学学报(信息科学版). 2023(06): 823-840 .
    10. 沈博,武文亮,杨刚,周兴社. 基于群体OODA的无人集群系统智能评价模型及方法. 航空学报. 2023(14): 263-278 .
    11. 白恒志,王海超,李国鑫,龚玉萍. 无人机隐蔽通信网络研究综述. 电信科学. 2023(08): 1-16 .
    12. 蔡军,许丽人,孙海洋,赵一鸣,戴学兵. 云雾环境智能化无人监测作业系统框架设计. 大气与环境光学学报. 2023(06): 532-540 .
    13. 孙文,孙波. 无人机遥感监测技术在水库运维的应用探索——以华南地区某水库为例. 人民珠江. 2023(12): 120-126 .
    14. 李丽亚,何松,赵柱,宋亚,蔡荣,张昌梦,樊芮锋,余东毅. “低慢小”目标防控体系建设及发展思路. 红外与激光工程. 2023(12): 282-292 .
    15. 陈曹阳,金灵. 神经网络在土木工程中的研究与应用. 山西建筑. 2022(06): 194-198 .
    16. 陈慧玲,余鑫洋,阮婧,戚知晨. 基于“5G+无人机”模式的自然资源监测监管研究与实践——以重大建设项目会商为例. 自然资源信息化. 2022(03): 21-26+20 .
    17. 王耀南,安果维,王传成,莫洋,缪志强,曾凯. 智能无人系统技术应用与发展趋势. 中国舰船研究. 2022(05): 9-26 .
    18. 王晧,雍歧卫,方钢,段纪淼. 无人机巡检图像下的装配式管线移位分析方法. 重庆理工大学学报(自然科学). 2022(10): 264-269 .
    19. 陈宣霏,沈博,张凡,杨刚,周兴社. 基于扩展合同网协议的有人机/无人机任务协同方法. 无人系统技术. 2022(05): 72-80 .
    20. 黄晓军. 数学算法在人工智能中的应用. 电子技术. 2021(03): 64-65 .
    21. 轩书哲,周昊,柯良军. 无人机集群对抗博弈综述. 指挥信息系统与技术. 2021(02): 27-31 .
    22. 喻煌超,牛轶峰,王祥科. 无人机系统发展阶段和智能化趋势. 国防科技. 2021(03): 18-24 .
    23. 薛莲,党元晓,汪兵兵,沙磊,孙雯. 北斗导航无人机在动物保护方面的应用. 绿色科技. 2021(12): 9-10 .
    24. 樊邦奎,李云,张瑞雨. 浅析低空智联网与无人机产业应用. 地理科学进展. 2021(09): 1441-1450 .
    25. 王勇,杨宇森,王士博,杨玉,张睿. 无人机组网遥感数据体系建设评介. 地理科学进展. 2021(09): 1467-1479 .
    26. 黄少雄,杨燕炜,苏义坤,谭勇,潘勇. 仁新高速养护巡检无人机系统的适用性判定研究. 黑龙江交通科技. 2021(10): 210-212 .
    27. 廖小罕,黄耀欢,徐晨晨. 面向无人机应用的低空空域资源研究探讨. 地理学报. 2021(11): 2607-2620 .
    28. 郭雷,余翔,张霄,张友民. 无人机安全控制系统技术:进展与展望. 中国科学:信息科学. 2020(02): 184-194 .
    29. FAN Bangkui,LI Yun,ZHANG Ruiyu,FU Qiqi. Review on the Technological Development and Application of UAV Systems. Chinese Journal of Electronics. 2020(02): 199-207 .
    30. 顾基发,赵明辉,张玲玲. 换个角度看人工智能:机遇和挑战. 中国软科学. 2020(02): 1-10 .
    31. 张瑞倩,邵振峰,Aleksei Portnov,汪家明. 多尺度空洞卷积的无人机影像目标检测方法. 武汉大学学报(信息科学版). 2020(06): 895-903 .
    32. 李鹏举,毛鹏军,耿乾,黄传鹏,方骞,张家瑞. 无人机集群技术研究现状与趋势. 航空兵器. 2020(04): 25-32 .
    33. 唐强,张宁,李浩,雷志荣. 无人机自主控制系统简述. 测控技术. 2020(10): 114-123 .
    34. 李军予,闫国瑞,李志刚,白照广. 智能遥感星群技术发展研究. 航天返回与遥感. 2020(06): 34-44 .
    35. 陈士涛,李大喜,赵保军. 隐身有人/无人机组合编队协同空战概念研究. 战术导弹技术. 2020(06): 75-80 .
    36. 郭旨龙. 中国刑法何以预防人工智能犯罪. 当代法学. 2020(02): 44-55 .
    37. 赵欣怡,宗群,张睿隆,田栢苓,张秀云,冯聪. 类脑智能技术在无人系统上的应用. 控制理论与应用. 2019(01): 1-12 .
    38. 晏磊,廖小罕,周成虎,樊邦奎,龚健雅,崔鹏,郑玉权,谭翔. 中国无人机遥感技术突破与产业发展综述. 地球信息科学学报. 2019(04): 476-495 .
    39. 李大喜,李小喜,陈士涛,孙鹏,张航. 基于MOTE的智能隐身无人机作战概念研究. 装甲兵工程学院学报. 2019(01): 1-6 .
    40. 陈利琼,杜博文,吴东容. 无人机在山区河流溢油事故溢油寻踪中的应用. 中国安全生产科学技术. 2019(07): 161-166 .
    41. 庞峰,冯登超. 警用无人系统与低空安全防范初探. 计算机测量与控制. 2019(07): 205-208+213 .
    42. 张友安,马国欣,刘京茂,孙玉梅. 固定翼无人机强化学习控制建模与算法设计. 飞行力学. 2019(04): 88-91+96 .
    43. 郝晓平,黄晓雯,高志刚,王留涛. 无人机技术在油气管道巡护中的应用. 油气储运. 2019(08): 955-960 .
    44. 鲜勇,李扬. 人工智能技术对未来空战武器的变革与展望. 航空兵器. 2019(05): 26-31 .
    45. 王湛,王江东,杨宏伟. 民用轻小型无人机系统检测认证研究. 质量与认证. 2019(12): 52-54 .
    46. 刘智勇,赵晓丹,祁宏昌,李艳飞. 新时代无人机电力巡检技术展望. 南方能源建设. 2019(04): 1-5 .
    47. 廖小罕,肖青,张颢. 无人机遥感:大众化与拓展应用发展趋势. 遥感学报. 2019(06): 1046-1052 .
    48. 车继波. 人工智能在无人作战飞机上的应用与展望. 电讯技术. 2018(07): 859-864 .
    49. 冯登超. 面向低空安全的三维空中走廊可视化研究综述. 电子测量技术. 2018(09): 2-9 .
    50. 唐露新,于丽敏,张宇维. 民用无人机系统的研究与应用. 机床与液压. 2018(05): 127-133 .
    51. 马方,王文娟. 构筑“人工智能+情报反恐”生态系统. 山东警察学院学报. 2018(04): 105-112 .
    52. 齐俊桐,平原. 无人机吊挂飞行控制技术综述. 无人系统技术. 2018(01): 83-90 .
    53. 段海滨,邱华鑫,陈琳,魏晨. 无人机自主集群技术研究展望. 科技导报. 2018(21): 90-98 .

    Other cited types(61)

Catalog

    Article views (7461) PDF downloads (2318) Cited by(114)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return