An intelligent visual line tracking system via quadrotor platform

Yaoxian Song, Yinqiu Wang, Jian Wang, Zhixun Li, Gao Li, Fengmin Yu

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)

    Abstract

    This paper proposes a scheme using open source autopilot controller and on-board computer (i.e. Raspberry Pi 2) to realize vision tracking flight mission based on computer vision. System structure design, image processing and controller are introduced respectively. The proposed image processing algorithm can reduce computational work and also the well designed controller can realize line tracking. Experiment result based on DJI F450 quadrotor is provided to demonstrate the effectiveness of the proposed scheme.

    Original languageEnglish
    Title of host publicationProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages6339-6344
    Number of pages6
    ISBN (Electronic)9781467397148
    DOIs
    Publication statusPublished - 3 Aug 2016
    Event28th Chinese Control and Decision Conference, CCDC 2016 - Yinchuan, China
    Duration: 28 May 201630 May 2016

    Publication series

    NameProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016

    Conference

    Conference28th Chinese Control and Decision Conference, CCDC 2016
    Country/TerritoryChina
    CityYinchuan
    Period28/05/1630/05/16

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