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農(nóng)業(yè)車輛雜草環(huán)境下視覺導(dǎo)航路徑識(shí)別方法
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for Vision Navigation System of Agricultural Vehicle in Weed Environment
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    摘要:

    在普通環(huán)境導(dǎo)航路徑識(shí)別方法的基礎(chǔ)上,，分析了株間雜草和壟間雜草對(duì)農(nóng)業(yè)車輛導(dǎo)航路徑的影響,。針對(duì)影響較大的壟間雜草環(huán)境,，提出一種基于BP神經(jīng)網(wǎng)絡(luò)的雜草環(huán)境下導(dǎo)航路徑識(shí)別方法。田間實(shí)驗(yàn)證明,，該方法對(duì)雜草的影響具有較好的適應(yīng)性,，能夠快速、可靠,、準(zhǔn)確地提取導(dǎo)航路徑特征,，識(shí)別率為97%，單幅圖像平均耗時(shí)

    Abstract:

    560ms,。 The effect of the weed environment on the path recognition is investigated. On the basis of the conventional path recognition method, a new method based on the BP neural network for the path recognition in the weed environment is proposed. Experimental results prove that the new method is effective for the path recognition in the weed environment, and can obtain the target navigation path rapidly, reliably and accurately. The recognition correct rate is 97%, and the average cost time is 560 ms.

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趙博,毛恩榮,毛文華,張小超,宋正河.農(nóng)業(yè)車輛雜草環(huán)境下視覺導(dǎo)航路徑識(shí)別方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(Z1):183-186. for Vision Navigation System of Agricultural Vehicle in Weed Environment[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(Z1):183-186.

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