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基于激光視覺系統(tǒng)的蘋果空間定位方法
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國家自然科學(xué)基金資助項(xiàng)目(31071333);保定市科學(xué)技術(shù)研究與發(fā)展計(jì)劃資助項(xiàng)目(12ZG011);中國農(nóng)業(yè)大學(xué)博士創(chuàng)新基金資助項(xiàng)目(2013YJ008)


Spatial Locating Method of Apple Fruits Based on Laser Vision System
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    摘要:

    為了準(zhǔn)確引導(dǎo)機(jī)械臂接近蘋果目標(biāo),,避免機(jī)器視覺研究中復(fù)雜的立體匹配過程,,在識別蘋果的基礎(chǔ)上,提出了一種基于激光視覺系統(tǒng)的蘋果空間定位方法,。根據(jù)該系統(tǒng)的構(gòu)成,、掃描及運(yùn)動控制特點(diǎn),,建立了激光視覺系統(tǒng)坐標(biāo)系,用于表示目標(biāo)的三維空間信息,;進(jìn)行了圖像坐標(biāo)系,、視覺系統(tǒng)坐標(biāo)系及機(jī)械臂坐標(biāo)系間的轉(zhuǎn)換,用于為機(jī)械臂的運(yùn)動控制提供指向性數(shù)據(jù),。通過對果園環(huán)境下蘋果的抓取實(shí)驗(yàn)可知:當(dāng)特征參數(shù)準(zhǔn)確提取率RRC大于90%時(shí),,機(jī)械臂的準(zhǔn)確抓取率為100%。

    Abstract:

    In order to guide robot arm to be close to apple target accurately, and avoid complex stereo matching of machine vision, a fruit locating method based on laser vision system was presented. According to the features of the system structure, scanning and motion controlling, a coordinate system of laser vision system was established, which was used to represent 3-D spatial information of target. Three different kinds of coordinate systems were transformed for offering directional data to robot arm, which separately belonged to image, laser vision system and robot arm. The grabbing experiment in orchard showed that the accurate grabbing ratio of robot arm was 100% while recognition index RRC was more than 90%.

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馮娟,曾立華,劉剛,馬曉丹,龐樹杰,周薇.基于激光視覺系統(tǒng)的蘋果空間定位方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2013,44(Supp1):236-239. Feng Juan, Zeng Lihua, Liu Gang, Ma Xiaodan, Pang Shujie, Zhou Wei. Spatial Locating Method of Apple Fruits Based on Laser Vision System[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(Supp1):236-239.

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  • 在線發(fā)布日期: 2013-10-22
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