A software platform for vision-based UAV autonomous landing guidance based on markers estimation

被引:0
|
作者
XiaoBin Xu
Zhao Wang
YiMin Deng
机构
[1] Beihang University,Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering
来源
关键词
autonomous landing; moving target; vision-based navigation; guidance; markers estimation;
D O I
暂无
中图分类号
学科分类号
摘要
The paper concentrated on descripting the methods of UAV autonomous landing on moving target. GPS navigation and vision-based navigation were employed during different stage of autonomous landing in the simulation environment and virtual reality. Uncertain markers estimation is the main step for UAV autonomous landing. It contains the convex hull transformation, interference preclusion, ellipse fitting and specific feature matching. Furthermore, the complete visual measurement program and guidance strategy were proposed in this paper. Considerable comprehensive experiments indicated the significance and feasibility of method of vision-based UAV autonomous landing on moving target.
引用
收藏
页码:1825 / 1836
页数:11
相关论文
共 50 条
  • [1] A software platform for vision-based UAV autonomous landing guidance based on markers estimation
    Xu XiaoBin
    Wang Zhao
    Deng YiMin
    [J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2019, 62 (10) : 1825 - 1836
  • [2] A software platform for vision-based UAV autonomous landing guidance based on markers estimation
    XU XiaoBin
    WANG Zhao
    DENG YiMin
    [J]. Science China Technological Sciences, 2019, (10) : 1825 - 1836
  • [3] A software platform for vision-based UAV autonomous landing guidance based on markers estimation
    XU XiaoBin
    WANG Zhao
    DENG YiMin
    [J]. Science China(Technological Sciences), 2019, 62 (10) : 1825 - 1836
  • [4] Vision-Based Autonomous Landing for the UAV: A Review
    Xin, Long
    Tang, Zimu
    Gai, Weiqi
    Liu, Haobo
    [J]. AEROSPACE, 2022, 9 (11)
  • [5] Vision-based Autonomous Landing of UAV on Moving Platform using a New Marker
    Huang Xiaoyun
    Xu Qing
    Wang Jianqiang
    [J]. 2019 3RD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE APPLICATIONS AND TECHNOLOGIES (AIAAT 2019), 2019, 646
  • [6] Vision-based Runway Recognition for UAV Autonomous Landing
    Shang, Jiajia
    Shi, Zhongke
    [J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2007, 7 (03): : 112 - 117
  • [7] A Survey on Vision-based Sensing and Pose Estimation Methods for UAV Autonomous Landing
    Ma, Ning
    Cao, Yun-Feng
    [J]. Zidonghua Xuebao/Acta Automatica Sinica, 2024, 50 (07): : 1284 - 1304
  • [8] Vision-based Autonomous Quadrotor Landing on a Moving Platform
    Falanga, Davide
    Zanchettin, Alessio
    Simovic, Alessandro
    Delmerico, Jeffrey
    Scaramuzza, Davide
    [J]. 2017 IEEE INTERNATIONAL SYMPOSIUM ON SAFETY, SECURITY AND RESCUE ROBOTICS (SSRR), 2017, : 200 - 207
  • [9] Autonomous Vision-based Target Detection and Safe Landing for UAV
    Mohammed Rabah
    Ali Rohan
    Muhammad Talha
    Kang-Hyun Nam
    Sung Ho Kim
    [J]. International Journal of Control, Automation and Systems, 2018, 16 : 3013 - 3025
  • [10] Research on computer vision-based for UAV autonomous landing on a ship
    Xu, Guili
    Zhang, Yong
    Ji, Shengyu
    Cheng, Yuehua
    Tian, Yupeng
    [J]. PATTERN RECOGNITION LETTERS, 2009, 30 (06) : 600 - 605