Intelligent Unmanned Aerial Vehicle Platform for Smart Cities

被引:0
|
作者
Giyenko, Andrey [1 ]
Cho, Young Im [1 ]
机构
[1] Gachon Univ, Grad Sch, Dept Comp Engn, Seongnam, South Korea
关键词
smart city; drone; UAV; intelligent system; smart system; autonomous systems;
D O I
10.1109/SCIS&ISIS.2016.139
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Smart Cities incorporate and integrate multiple state of the art services and technologies and provide a wide field for innovation in many areas including information technologies, robotics and artificial intelligence. One of the areas is Unmanned Aerial Vehicle development. Great advances in this field, both in civilian and military applications, in functionality, reliability, operation time and safety allows creating new applications for Unmanned Aerial Vehicles. In this paper we discuss the implementation of a smart city Unmanned Aerial Vehicle that focuses on the "Device as a service" model to implement an intelligent service based on the M2M model, Multi-agent Systems and Smart City principles. We discuss the possible applications of Unmanned Aerial Vehicles in a Smart City environment, possible problems and solutions; next we discuss the network integration of the Unmanned Aerial Vehicles and compare the communication technologies to be used; finally we discuss the structure used to implement the Intelligent Smart City Unmanned Aerial Vehicle platform.
引用
下载
收藏
页码:729 / 733
页数:5
相关论文
共 50 条
  • [21] Image processing acceleration for intelligent unmanned aerial vehicle on mobile GPU
    Jeon, Dongwoon
    Kim, Doo-Hyun
    Ha, Young-Guk
    Tyan, Vladimir
    SOFT COMPUTING, 2016, 20 (05) : 1713 - 1720
  • [22] A survey of intelligent transmission line inspection based on unmanned aerial vehicle
    Luo, Yanhong
    Yu, Xue
    Yang, Dongsheng
    Zhou, Bowen
    ARTIFICIAL INTELLIGENCE REVIEW, 2023, 56 (01) : 173 - 201
  • [23] Research on unmanned aerial vehicle modeling and control based on intelligent algorithms
    Liu, Peng
    Luo, Xun
    Bai, Zhendong
    Liu, Xin
    Liu, Jiaqi
    ADVANCES IN MECHANICAL ENGINEERING, 2019, 11 (05)
  • [24] A survey of intelligent transmission line inspection based on unmanned aerial vehicle
    Yanhong Luo
    Xue Yu
    Dongsheng Yang
    Bowen Zhou
    Artificial Intelligence Review, 2023, 56 : 173 - 201
  • [25] Research on Unmanned Aerial Vehicle Modeling and Control Based on Intelligent Algorithms
    Liu Peng
    Si Hongjuan
    Qin Xuguo
    Liu Xin
    Liu Jiaqi
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 4017 - 4020
  • [26] Intelligent Landing of Unmanned Aerial Vehicle Using Hierarchical Fuzzy Control
    Zhi, Liu
    Yong, Wang
    2012 IEEE AEROSPACE CONFERENCE, 2012,
  • [27] Image processing acceleration for intelligent unmanned aerial vehicle on mobile GPU
    Dongwoon Jeon
    Doo-Hyun Kim
    Young-Guk Ha
    Vladimir Tyan
    Soft Computing, 2016, 20 : 1713 - 1720
  • [28] Human-Computer Interaction In Intelligent Control of An Unmanned Aerial Vehicle
    Xu, Yuecong
    Er, Meng Joo
    2016 INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL POWER AND INSTRUMENTATION (ICICPI), 2016, : 42 - 46
  • [29] Designing Highly Intelligent Unmanned Aerial Vehicle-Borne Software
    Zhou Baoyu
    Tian Li
    INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS, PTS 1-4, 2013, 241-244 : 2722 - 2727
  • [30] Method of defogging unmanned aerial vehicle images based on intelligent manufacturing
    Wang, Pin
    Gao, Zhijian
    Wang, Peng
    Zeng, Lingyu
    Zhong, Hongmei
    JOURNAL OF ELECTRONIC IMAGING, 2023, 32 (01)