Vision-Based Hardware-in-the-Loop-Simulation for Unmanned Aerial Vehicles

被引:1
|
作者
Khoa Dang Nguyen [1 ]
Ha, Cheolkeun [1 ]
机构
[1] Univ Ulsan, Sch Mech & Automot Engn, Ulsan 680749, South Korea
关键词
Vision; Raspberry; Vision HILS; UAV; TRACKING; TARGET;
D O I
10.1007/978-3-319-95930-6_8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes a new configuration of a general hardware-in-the-loop-simulation (HILS) setup of Unmanned Aerial vehicle (UAV) especially for vision algorithm. In our setup, the Gazebo software is used to simulate six-degree-of-freedom (6 DOF) model and corresponding sensor readings such as the inertial measurement unit (IMU) and the camera for a quad-rotor UAV. Meanwhile, the flight control algorithm is performed on the Pixhawk hardware. The Raspberry hardware is installed the vision algorithms to estimate the position of the quad-rotor UAV for the landing task. The middle software named control application software (CAS) is developed to collect the communication between the Gazebo, Pixhawk and Raspberry by using the multithread architecture. Numerical implementation has been performed to prove effectiveness of the suggested HILS components approach.
引用
收藏
页码:72 / 83
页数:12
相关论文
共 50 条
  • [21] Vision-Based Navigation Techniques for Unmanned Aerial Vehicles: Review and Challenges
    Arafat, Muhammad Yeasir
    Alam, Muhammad Morshed
    Moh, Sangman
    DRONES, 2023, 7 (02)
  • [22] Monocular Vision-Based Obstacle Detection/Avoidance for Unmanned Aerial Vehicles
    Al-Kaff, Abdulla
    Meng, Qinggang
    Martin, David
    de la Escalera, Arturo
    Maria Armingol, Jose
    2016 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2016, : 92 - 97
  • [23] Observation Modelling for Vision-Based Target Search by Unmanned Aerial Vehicles
    Teacy, W. T. Luke
    Julier, Simon J.
    De Nardi, Renzo
    Rogers, Alex
    Jennings, Nicholas R.
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS (AAMAS'15), 2015, : 1607 - 1614
  • [24] Robust vision-based tracking control of VTOL unmanned aerial vehicles
    Asl, Hamed Jabbari
    AUTOMATICA, 2019, 107 : 425 - 432
  • [25] PLineD: Vision-based Power Lines Detection for Unmanned Aerial Vehicles
    Santos, T.
    Moreira, M.
    Almeida, J.
    Dias, A.
    Martins, A.
    Dinis, J.
    Formiga, J.
    Silva, E.
    2017 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC), 2017, : 253 - 259
  • [26] Vision-Based Sense-and-Avoid Framework for Unmanned Aerial Vehicles
    Huh, Sungsik
    Cho, Sungwook
    Jung, Yeondeuk
    Shim, David Hyunchul
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2015, 51 (04) : 3427 - 3439
  • [27] Vision-Based Modal Survey of Civil Infrastructure Using Unmanned Aerial Vehicles
    Hoskere, Vedhus
    Park, Jong-Woong
    Yoon, Hyungchul
    Spencer, Billie F., Jr.
    JOURNAL OF STRUCTURAL ENGINEERING, 2019, 145 (07)
  • [28] Robust Vision-based Pose Estimation for Relative Navigation of Unmanned Aerial Vehicles
    Park, Jang-Seong
    Lee, Dongjin
    Jeon, Byoungil
    Bang, Hyochoong
    2013 13TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2013), 2013, : 386 - 390
  • [29] A hierarchical vision-based localization of rotor unmanned aerial vehicles for autonomous landing
    Yuan, Haiwen
    Xiao, Changshi
    Xiu, Supu
    Zhan, Wenqiang
    Ye, Zhenyi
    Zhang, Fan
    Zhou, Chunhui
    Wen, Yuanqiao
    Li, Qiliang
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2018, 14 (09):
  • [30] Monocular Vision-based Obstacle Avoidance Trajectory Planning for Unmanned Aerial Vehicles
    Zhang, Zhouyu
    Zhang, Youmin
    Cao, Yunfeng
    2020 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS'20), 2020, : 627 - 632