• DocumentCode
    3582883
  • Title

    Design and realization of visual wireless autonomous lawn mower based on machine vision

  • Author

    Hengtao Liu ; Zhugang Yuan ; Zhe Su

  • Author_Institution
    Sch. of Electr. Eng., Univ. of Jinan, Jinan, China
  • fYear
    2014
  • Firstpage
    353
  • Lastpage
    358
  • Abstract
    In order to solve the problem of the traditional intelligent mower, which cannot cover the lawn area and operate complexly, a visual, wireless, autonomous mower system via machine vision is designed. Firstly, collect the image information of locale dynamically by the real-time camera which erected on the high bracket, and display on the monitor of PC, then draw a few mowing range or mowing patterns of mower by mouse in the host computer software. Secondly, the host computer software analysis the data. Finally, convey the action signal to the actions required lawn mower to finish the mowing task. The experimental results show a high level of automation from the proposed lawn proposed lawn mower system, which has the function of avoiding obstacle automatically and covering the target lawn area completely.
  • Keywords
    Zigbee; cameras; collision avoidance; control engineering computing; data analysis; horticulture; intelligent control; lawnmowers; mobile robots; robot vision; Zigbee wireless communication system; action signal; data analysis; host computer software; image information; intelligent mower; lawn area; machine vision; mowing patterns; mowing range; mowing task; obstacle avoidance; real-time camera; visual wireless autonomous lawn mower system; Algorithms; Cameras; Computers; Hardware; Power supplies; Software; Wireless communication; Intelligent lawn mower; automation; covering whole mowing range; image processing; machine vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2014 11th International Computer Conference on
  • Print_ISBN
    978-1-4799-7207-4
  • Type

    conf

  • DOI
    10.1109/ICCWAMTIP.2014.7073425
  • Filename
    7073425