Simple Area Coverage by a Dynamic Set of Unmanned Aerial Vehicles

被引:0
|
作者
Pellegrino, Grazieno [1 ,2 ]
Mota, Gustavo [1 ]
Assis, Flavio [1 ,3 ]
Gorender, Sergio [1 ,3 ]
Sa, Alirio [1 ,3 ]
机构
[1] UFBA Fed Univ Bahia, DCC Dept Comp Sci, LaSiD Distributed Syst Lab, Salvador, BA, Brazil
[2] UFBA Fed Univ Bahia, DCC Dept Comp Sci, PGCOMP Grad Program Comp Sci, Salvador, BA, Brazil
[3] UFBA Fed Univ Bahia, DCC Dept Comp Sci, PPGM Grad Program Mechatron, Salvador, BA, Brazil
关键词
UAV; dynamic swarms; area coverage; heat map;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The coordination of cooperating Unmanned Aerial Vehicles (UAVs) has become an active area of research. The approaches to coordinate these so-called swarms generally include a solution to a class of problems called Area Coverage as a building block. Area coverage problems consist in obtaining information about a certain interest area (commonly a polygon or a polyhedron) using a set of UAVs, generally with decentralized coordination and minimal human intervention. This problem models the requirements of different types of applications, such as in the case of emergencies and disasters, gas leak detection, seeking lost people, among many others. In this paper we describe a specific strategy to coordinate dynamic sets of UAVs to solve a specific area coverage problem. Existing solutions to the problem typically consider a fixed set of UAVs. In dynamic sets, UAVs might enter or leave the set. Beyond describing a specific strategy to the problem, we introduce the framework we are building on top of ROS/Gazebo to implement it. This framework eases the implementation of different strategies for multiple UAVs coordination and the assessment of their quality.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Simple Controller Tuning for Unmanned Aerial Vehicles using Governors
    Dyrska, Raphael
    Mueller, Jens
    Fikar, Miroslav
    Moennigmann, Martin
    2023 24TH INTERNATIONAL CONFERENCE ON PROCESS CONTROL, PC, 2023, : 108 - 113
  • [32] Unmanned aerial vehicles integratedHetNetfor smart dense urban area
    Gupta, Akshita
    Gupta, Sachin Kumar
    Rashid, Mamoon
    Khan, Amina
    Manjul, Manisha
    TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2022, 33 (10)
  • [33] Aerial Robotics and Unmanned Aerial Vehicles
    Ollero, Anibal
    Valavanis, Kimon
    Chen, Yangquan
    IEEE ROBOTICS & AUTOMATION MAGAZINE, 2018, 25 (04) : 96 - 97
  • [34] Point Set Registration for Target Localization Using Unmanned Aerial Vehicles
    Darji, Dhruvil
    Vejarano, Gustavo
    ACM TRANSACTIONS ON SPATIAL ALGORITHMS AND SYSTEMS, 2023, 9 (03) : CP4 - U32
  • [35] Research on dynamic task allocation for multiple unmanned aerial vehicles
    Miao, Yongfei
    Zhong, Luo
    Yin, Yufu
    Zou, Chengming
    Luo, Zhenjun
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2017, 39 (04) : 466 - 474
  • [36] A New Approach to Complex Dynamic Geofencing for Unmanned Aerial Vehicles
    Vagal, Vihangi
    Markantonakis, Konstantinos
    Shepherd, Carlton
    2021 IEEE/AIAA 40TH DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC), 2021,
  • [37] New Hydrodynamic Ejection Dynamic Characteristics of Unmanned Aerial Vehicles
    Zhang Z.
    Wu X.
    Li C.
    Zhang J.
    Wei L.
    Wang F.
    Wu, Xiangyang (wuxiangyang1@126.com), 1600, China Ordnance Industry Corporation (42): : 151 - 158
  • [38] A New Dynamic Path Planning Approach for Unmanned Aerial Vehicles
    Huang, Chenxi
    Lan, Yisha
    Liu, Yuchen
    Zhou, Wen
    Pei, Hongbin
    Yang, Longzhi
    Cheng, Yongqiang
    Hao, Yongtao
    Peng, Yonghong
    COMPLEXITY, 2018,
  • [39] Rectilinear workspace partitioning for parallel coverage using multiple unmanned aerial vehicles
    Agarwal, Amit
    Hiot, Lim Meng
    Joo, Er Meng
    Nghia, Nguyen Trung
    ADVANCED ROBOTICS, 2007, 21 (1-2) : 105 - 120
  • [40] Placement of Unmanned Aerial Vehicles for Directional Coverage in 3D Space
    Wang, Weijun
    Dai, Haipeng
    Dong, Chao
    Cheng, Xiao
    Wang, Xiaoyu
    Yang, Panlong
    Chen, Guihai
    Dou, Wanchun
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2020, 28 (02) : 888 - 901