Visually smooth multi-UAV formation transformation

被引:5
|
作者
Zheng, Xinyu [1 ]
Zong, Chen [1 ]
Cheng, Jingliang [1 ]
Xu, Jian [2 ]
Xin, Shiqing [1 ]
Tu, Changhe [1 ]
Chen, Shuangmin [3 ]
Wang, Wenping [4 ,5 ]
机构
[1] Shandong Univ, Sch Comp Sci & Technol, Qingdao, Peoples R China
[2] Chinese Acad Sci, Ningbo Inst Mat Technol & Engn, Ningbo, Peoples R China
[3] Qingdao Univ Sci & Technol, Sch Informat & Technol, Qingdao, Peoples R China
[4] Texas A&M Univ, College Stn, TX USA
[5] Univ Hong Kong, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Formation transformation; Collision-free path; Unmanned airborne vehicles; Shape interpolation; CROWD SIMULATION; MODEL; NAVIGATION; COVERAGE; HUMANS;
D O I
10.1016/j.gmod.2021.101111
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Unmanned airborne vehicles (UAVs) are useful in both military and civilian operations. In this paper, we consider a recreational scenario, i.e., multi-UAV formation transformation show. A visually smooth transformation needs to enforce the following three requirements at the same time: (1) visually pleasing contour morphing - for any intermediate frame, the agents form a meaningful shape and align with the contour, (2) uniform placement - for any intermediate frame, the agents are (isotropically) evenly spaced, and (3) smooth trajectories - the trajectory of each agent is as rigid/smooth as possible and completely collision free. First, we use the technique of 2-Wasserstein distance based interpolation to generate a sequence of intermediate shape contours. Second, we consider the spatio-temporal motion of all the agents altogether, and integrate the uniformity requirement and the spatial coherence into one objective function. Finally, the optimal formation transformation plan can be inferred by collaborative optimization. Extensive experimental results show that our algorithm outperforms the existing algorithms in terms of visual smoothness of transformation, boundary alignment, uniformity of agents, and rigidity of trajectories. Furthermore, our algorithm is able to cope with some challenging scenarios including (1) source/target shapes with multiple connected components, (2) source/target shapes with different typology structures, and (3) existence of obstacles. Therefore, it has a great potential in the real multi-UAV light show. We created an animation to demonstrate how our algorithm works; See the demo at https://1drv.ms/v/s!AheMg5fKdtdugVL0aNFfEt_deTbT?e=le5poN .
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Hybrid swarm intelligent algorithm for multi-UAV formation reconfiguration
    Chenyang Gao
    Jianfeng Ma
    Teng Li
    Yulong Shen
    Complex & Intelligent Systems, 2023, 9 : 1929 - 1962
  • [22] Resilience Measure and Formation Reconfiguration Optimization for Multi-UAV Systems
    Feng, Qiang
    Liu, Meng
    Sun, Bo
    Dui, Hongyan
    Hai, Xingshuo
    Ren, Yi
    Lu, Chen
    Wang, Zili
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (06) : 10616 - 10626
  • [23] Multi-UAV Formation Distributed Fault-tolerant Control
    Chen Liqing
    Zhang Yijing
    Liu Zichun
    Nian ZiYang
    Yuan Yulong
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 6071 - 6075
  • [24] Multi-UAV Weed Spraying
    Farid, Ali Moltajaei
    Mouhoub, Malek
    Arkles, Tony
    Hutch, Greg
    ROBOTICS, COMPUTER VISION AND INTELLIGENT SYSTEMS, ROBOVIS 2024, 2024, 2077 : 210 - 224
  • [25] Three-dimensional formation keeping of multi-UAV based on consensus
    朱旭
    张逊逊
    闫茂德
    屈耀红
    Journal of Central South University, 2017, 24 (06) : 1387 - 1395
  • [26] Reconfigurable Multi-UAV Formation Using Angle-Encoded PSO
    Hoang, V. T.
    Phung, M. D.
    Dinh, T. H.
    Zhu, Q.
    Ha, Q. P.
    2019 IEEE 15TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2019, : 1670 - 1675
  • [27] Formation Control Approach for Multi-UAV System Based on Consensus Method
    Ren, Bin
    Wang, Honglun
    Zhang, Menghua
    Liu, Yiheng
    PROCEEDINGS OF 2022 INTERNATIONAL CONFERENCE ON AUTONOMOUS UNMANNED SYSTEMS, ICAUS 2022, 2023, 1010 : 401 - 410
  • [28] Multi-UAV Cooperative Formation Flight Control Based on APF & SMC
    Dai, Jiyang
    Wang, Shihui
    Jang, Yuan
    Wu, Xie-er
    Cao, Zhenwen
    2017 2ND INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION ENGINEERING (ICRAE), 2017, : 222 - 228
  • [29] Multi-UAV Formation Control Method Based on Modified Artificial Physics
    Fu, Yu
    Wang, XiangKe
    Huan, Liu
    Zhu, HuaYong
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 2523 - 2529
  • [30] Multi-UAV Cooperative Target Tracking Strategy Based on Formation Control
    Wang, Duo
    Peng, Zhihong
    Ju, Xiaojie
    Yu, Tao
    Wang, Xue
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 6224 - 6229