Vision-aided Tracking of a Moving Ground Vehicle with a Hybrid UAV

被引:0
|
作者
Wang, Kangli [1 ]
Phang, Swee King [2 ]
Ke, Yijie [1 ]
Chen, Xudong [2 ]
Gong, Kehong [1 ]
Chen, Ben M. [1 ]
机构
[1] Natl Univ Singapore, Dept Elect & Comp Engn, 4 Engn Dr 3, Singapore 117583, Singapore
[2] Natl Univ Singapore, Temasek Labs, 5A Engn Dr 1, Singapore 117411, Singapore
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this work, we present the development of a target tracking and following system using a self-customized hybrid UAV, KH-Lion. KH-Lion is a small and autonomous tail sitter UAV stabilized and controlled by two vectored propulsion systems. A target tracking system was developed on this platform for autonomous target following on a predetermined moving object on the ground. A customized AprilTag marker was attached on a radio-controlled car, and the target tracking algorithm was verified in actual flight experiment in which the moving car is tracked. Experiments were conducted in the environment of VICON motion tracking system, which provides us with a ground truth to evaluate the performance of the tracking. The system was verified and tested with a moving speed of approximately 0.5 m/s.
引用
收藏
页码:28 / 33
页数:6
相关论文
共 50 条
  • [41] Computer vision-aided bioprinting for bone research
    Changxi Liu
    Liqiang Wang
    Weijie Lu
    Jia Liu
    Chengliang Yang
    Chunhai Fan
    Qian Li
    Yujin Tang
    [J]. Bone Research, 2022, (02) : 213 - 226
  • [42] Computer vision-aided bioprinting for bone research
    Liu, Changxi
    Wang, Liqiang
    Lu, Weijie
    Liu, Jia
    Yang, Chengliang
    Fan, Chunhai
    Li, Qian
    Tang, Yujin
    [J]. BONE RESEARCH, 2022, 10 (01)
  • [43] Detection and Tracking of a Moving Target for UAV Based on Machine Vision
    Qi, Duo
    Li, Zhe
    Ren, Baoxiang
    Lei, Pengfei
    Yang, Xiaotian
    [J]. 2021 7TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR), 2021, : 173 - 178
  • [44] Computer vision-aided bioprinting for bone research
    Changxi Liu
    Liqiang Wang
    Weijie Lu
    Jia Liu
    Chengliang Yang
    Chunhai Fan
    Qian Li
    Yujin Tang
    [J]. Bone Research, 10
  • [45] Vision-Aided Indoor Pedestrian Dead Reckoning
    Yan, Jingjing
    He, Gengen
    Basiri, Anahid
    Hancock, Craig
    [J]. 2018 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC): DISCOVERING NEW HORIZONS IN INSTRUMENTATION AND MEASUREMENT, 2018, : 245 - 250
  • [46] Graph search of a moving ground target by a UAV aided by ground sensors with local information
    Krishna Kalyanam
    David Casbeer
    Meir Pachter
    [J]. Autonomous Robots, 2020, 44 : 831 - 843
  • [47] A New Approach to Vision-Aided Inertial Navigation
    Tardif, Jean-Philippe
    George, Michael
    Laverne, Michel
    Kelly, Alonzo
    Stentz, Anthony
    [J]. IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010), 2010, : 4161 - 4168
  • [48] Graph search of a moving ground target by a UAV aided by ground sensors with local information
    Kalyanam, Krishna
    Casbeer, David
    Pachter, Meir
    [J]. AUTONOMOUS ROBOTS, 2020, 44 (05) : 831 - 843
  • [49] A Hybrid Data Manipulation Approach for Energy and Latency-Efficient Vision-Aided UDNs
    Al-Quraan, Mohammad
    Khan, Ahsan Raza
    Mohjazi, Lina
    Centeno, Anthony
    Zoha, Ahmed
    Imran, Muhammad Ali
    [J]. 2021 EIGHTH INTERNATIONAL CONFERENCE ON SOFTWARE DEFINED SYSTEMS (SDS), 2021, : 106 - 112
  • [50] Vision-Aided Inertial Navigation System with Point and Vertical Line Observations for Land Vehicle Applications
    Liu, Zhenbo
    Zhou, Qifan
    Qin, Yongyuan
    El-Sheimy, Naser
    [J]. CHINA SATELLITE NAVIGATION CONFERENCE (CSNC) 2017 PROCEEDINGS, VOL II, 2017, 438 : 445 - 457