Autonomous Maritime Landings for Low-cost VTOL Aerial Vehicles

被引:14
|
作者
Ling, Kevin [1 ]
Chow, Derek [1 ]
Das, Arun [1 ]
Waslander, Steven L. [1 ]
机构
[1] Univ Waterloo, Dept Mech & Mechatron Engn, Waterloo, ON N2L 3G1, Canada
关键词
Mobile robotics; autonomous landing; quadrotor; vision; target-tracking;
D O I
10.1109/CRV.2014.13
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Autonomous landing of quadrotor UAV on a maritime vessel is a challenging task, as low cost sensors, unknown movements of the landing surface, and external disturbances make it difficult to generate a relative pose estimate with sufficient accuracy for landing. In this work, we propose an architecture that avoids sensor limitations while allowing for accurate relative pose estimation, even in the presence of wind disturbances. The final landing sequence is performed entirely in the body-fixed inertial frame so that noisy measurements from the GPS and magnetometer sensors do not degrade the relative estimation accuracy. Simulation results of the entire system architecture are presented, as well as experimental results of visual landing pad tracking for representative motions, which demonstrate the validity of the approach.
引用
收藏
页码:32 / 39
页数:8
相关论文
共 50 条
  • [1] Dawn of drone ecology: low-cost autonomous aerial vehicles for conservation
    Koh, Lian Pin
    Wich, Serge A.
    [J]. TROPICAL CONSERVATION SCIENCE, 2012, 5 (02): : 121 - 132
  • [2] Autonomous Swarm of Low-Cost Commercial Unmanned Aerial Vehicles for Surveillance
    B. Garate
    S. Díaz
    S. Iturriaga
    S. Nesmachnow
    V. Shepelev
    A. Tchernykh
    [J]. Programming and Computer Software, 2021, 47 : 558 - 577
  • [3] Autonomous Swarm of Low-Cost Commercial Unmanned Aerial Vehicles for Surveillance
    Garate, B.
    Diaz, S.
    Iturriaga, S.
    Nesmachnow, S.
    Shepelev, V
    Tchernykh, A.
    [J]. PROGRAMMING AND COMPUTER SOFTWARE, 2021, 47 (08) : 558 - 577
  • [4] Low-Cost Autonomous Vehicles for Urban Environments
    Chengalva, Mahesh K.
    Bletsis, Richard
    Moss, Bernard P.
    [J]. SAE INTERNATIONAL JOURNAL OF COMMERCIAL VEHICLES, 2009, 1 (01) : 516 - 526
  • [5] Autonomous navigation of micro aerial vehicles using high-rate and low-cost sensors
    Santamaria-Navarro, Angel
    Loianno, Giuseppe
    Sola, Joan
    Kumar, Vijay
    Andrade-Cetto, Juan
    [J]. AUTONOMOUS ROBOTS, 2018, 42 (06) : 1263 - 1280
  • [6] Autonomous navigation of micro aerial vehicles using high-rate and low-cost sensors
    Angel Santamaria-Navarro
    Giuseppe Loianno
    Joan Solà
    Vijay Kumar
    Juan Andrade-Cetto
    [J]. Autonomous Robots, 2018, 42 : 1263 - 1280
  • [7] Action cameras and low-cost aerial vehicles in archaeology
    Ballarin, M.
    Balletti, C.
    Guerra, F.
    [J]. VIDEOMETRICS, RANGE IMAGING, AND APPLICATIONS XIII, 2015, 9528
  • [8] Real Testbed for Autonomous Anomaly Detection in Power Grid Using Low-Cost Unmanned Aerial Vehicles and Aerial Imaging
    Dutta, Tanima
    Soni, Aishwarya
    Gona, Prateek
    Gupta, Hari Prabhat
    [J]. IEEE MULTIMEDIA, 2021, 28 (03) : 63 - 74
  • [9] Offline mapping for autonomous vehicles with low-cost sensors
    Wang, Zhen
    Zhao, Xiangmo
    Xu, Zhigang
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2020, 82
  • [10] Agile Design of Low-Cost Autonomous Underwater Vehicles
    Phillips, Alexander B.
    Gold, Naomi
    Linton, Nick
    Harris, Catherine A.
    Richards, Ella
    Templeton, Robert
    Thune, Sebastian
    Sitbon, Jeremy
    Muller, Marcus
    Vincent, Iain
    Sloane, Terry
    [J]. OCEANS 2017 - ABERDEEN, 2017,