Precision Landing of a Quadcopter Drone by Smartphone Video Guidance Sensor in a GPS-Denied Environment

被引:5
|
作者
Bautista, Nicolas [1 ]
Gutierrez, Hector [1 ]
Inness, John [2 ]
Rakoczy, John [2 ]
机构
[1] Florida Inst Technol, Dept Mech & Aerosp Engn, Melbourne, FL 32901 USA
[2] NASA, Control Syst Design & Anal Branch, Marshall Space Flight Ctr, Huntsville, AL 35812 USA
关键词
unmanned aerial vehicle; autonomous landing; smartphone video guidance sensor; visual inertial odometry; GPS-denied environment;
D O I
10.3390/s23041934
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
This paper describes the deployment, integration, and demonstration of a Smartphone Video Guidance Sensor (SVGS) as a novel technology for autonomous 6-DOF proximity maneuvers and precision landing of a quadcopter drone. The proposed approach uses a vision-based photogrammetric position and attitude sensor (SVGS) to estimate the position of a landing target after video capture. A visual inertial odometry sensor (VIO) is used to provide position estimates of the UAV in a ground coordinate system during flight on a GPS-denied environment. The integration of both SVGS and VIO sensors enables the accurate updating of position setpoints during landing, providing improved performance compared with VIO-only landing, as shown in landing experiments. The proposed technique also shows significant operational advantages compared with state-of-the-art sensors for indoor landing, such as those based on augmented reality (AR) markers.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Machine learning-based multi-sensor fusion for warehouse robot in GPS-denied environment
    Singh, Abhilasha
    Kalaichelvi, V.
    Karthikeyan, R.
    MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 83 (18) : 56229 - 56246
  • [22] NEEC Research: Toward GPS-denied Landing of Unmanned Aerial Vehicles on Ships at Sea
    Chaves, Stephen M.
    Wolcott, Ryan W.
    Eustice, Ryan M.
    NAVAL ENGINEERS JOURNAL, 2015, 127 (01) : 23 - 35
  • [23] Two-stage Motion Estimation for UAV Landing under GPS-denied Condition
    Zhang, Lei
    Yu, Guanfeng
    Song, Xiaogang
    Li, Peng
    Zhai, Zhengiun
    Lu, Yanhong
    PROCEEDINGS OF 2020 3RD INTERNATIONAL CONFERENCE ON UNMANNED SYSTEMS (ICUS), 2020, : 1000 - 1004
  • [24] Machine learning-based multi-sensor fusion for warehouse robot in GPS-denied environment
    Abhilasha Singh
    V. Kalaichelvi
    R. Karthikeyan
    Multimedia Tools and Applications, 2024, 83 : 56229 - 56246
  • [25] Automatic UAV Inspection of Tunnel Infrastructure in GPS-Denied Underground Environment
    Zhang, Ran
    Ouyang, Aohui
    Li, Zili
    EUROPEAN WORKSHOP ON STRUCTURAL HEALTH MONITORING (EWSHM 2022), VOL 2, 2023, : 519 - 526
  • [26] Reinforcement learning based UAV formation control in GPS-denied environment
    Bodi MA
    Zhenbao LIU
    Feihong JIANG
    Wen ZHAO
    Qingqing DANG
    Xiao WANG
    Junhong ZHANG
    Lina WANG
    Chinese Journal of Aeronautics , 2023, (11) : 281 - 296
  • [27] Autonomous quadrotor collision avoidance and destination seeking in a GPS-denied environment
    Kirven, Thomas
    Hoagg, Jesse B.
    AUTONOMOUS ROBOTS, 2021, 45 (01) : 99 - 118
  • [28] A Vision-Based Approach to Autonomous Landing of an eVTOL Aircraft in GPS-Denied Environments
    Benitez, Fernanda Villafana
    Rutherford, Aidan
    Van Hilst, Johann
    Babcock, Eric
    Schlief, Madison
    Markussen, Lukas
    2023 IEEE/AIAA 42ND DIGITAL AVIONICS SYSTEMS CONFERENCE, DASC, 2023,
  • [29] Reinforcement learning based UAV formation control in GPS-denied environment
    Ma, Bodi
    Liu, Zhenbao
    Jiang, Feihong
    Zhao, Wen
    Dang, Qingqing
    Wang, Xiao
    Zhang, Junhong
    Wang, Lina
    CHINESE JOURNAL OF AERONAUTICS, 2023, 36 (11) : 281 - 296
  • [30] UAV navigation in GPS-denied environment using particle filtered RVL
    Couturier, Andy
    Akhloufi, Moulay A.
    SITUATION AWARENESS IN DEGRADED ENVIRONMENTS 2019, 2019, 11019