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基于視覺(jué)測(cè)量的挖掘機(jī)工作裝置姿態(tài)測(cè)量系統(tǒng)
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流體動(dòng)力與機(jī)電系統(tǒng)國(guó)家重點(diǎn)實(shí)驗(yàn)室開(kāi)放基金資助項(xiàng)目(GZKF—201308)


Attitude Measurement System for Excavator’s Manipulator Based on Vision Measurement
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    摘要:

    提出了一種基于視覺(jué)測(cè)量的挖掘機(jī)工作裝置姿態(tài)測(cè)量方法,。使用工業(yè)相機(jī)獲取工作裝置側(cè)視圖像,采用鞍點(diǎn)檢測(cè)方法快速捕捉工作臂上的人工靶標(biāo);將靶標(biāo)間的固定幾何尺寸關(guān)系作為約束條件篩選出靶標(biāo)中的鞍點(diǎn)并計(jì)算相應(yīng)工作臂的姿態(tài)角;通過(guò)預(yù)判靶標(biāo)的運(yùn)動(dòng)范圍以縮小圖像檢測(cè)區(qū)域,提高算法處理速度,。試驗(yàn)表明,,與挖掘機(jī)上原有的拉線傳感器測(cè)量系統(tǒng)相比較,,動(dòng)臂和斗桿姿態(tài)角動(dòng)態(tài)測(cè)量偏差分別小于1°和2°,,處理每幀工作裝置運(yùn)動(dòng)圖像平均用時(shí)在100ms以內(nèi),,驗(yàn)證了該方法對(duì)挖掘機(jī)工作裝置姿態(tài)測(cè)量的可行性。

    Abstract:

    An attitude measuring method for excavator’s manipulator based on vision measurement was proposed. Using the industrial camera to grab the perspective images of the manipulator, a saddle point detection was adopted to detect the manmade targets which was fixed on every arm of the excavator. Then the fixed geometric dimensioning between two targets was used as a constraint condition to select the saddle point in targets, and the attitude angle of the corresponding arm can be derived from the saddle point coordinates. The image detection area was reduced through anticipation of target movement and the algorithm processing speed was improved. Experiment results showed that compared with the original displacement sensor system installed on the excavator, the measured deviations of dynamic attitude angle for boom and arm were less than 1 degree and 2 degrees, respectively. The average processing time of this method for each manipulator movement frame was within 100ms. And the feasibility of this method for measuring excavator manipulator’s attitude was verified.

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王海波,鄒海龍,張如照.基于視覺(jué)測(cè)量的挖掘機(jī)工作裝置姿態(tài)測(cè)量系統(tǒng)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2015,46(4):302-308. Wang Haibo, Zou Hailong, Zhang Ruzhao. Attitude Measurement System for Excavator’s Manipulator Based on Vision Measurement[J]. Transactions of the Chinese Society for Agricultural Machinery,2015,46(4):302-308.

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  • 收稿日期:2014-05-06
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  • 在線發(fā)布日期: 2015-04-10
  • 出版日期: 2015-04-10
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