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復(fù)雜環(huán)境下車輛前方多車道識(shí)別方法
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Identification of Multi-lane Frontage under the Complex Condition
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    摘要:

    在識(shí)別行駛車道的基礎(chǔ)上,,通過控制感興趣區(qū)將識(shí)別從單車道擴(kuò)展到多車道,。為提高復(fù)雜工況下識(shí)別的準(zhǔn)確性,,引入車道識(shí)別置信度,,對(duì)每條分道線識(shí)別的準(zhǔn)確程度進(jìn)行判斷,,并針對(duì)復(fù)雜工況的特點(diǎn)給出置信度的計(jì)算方法,。若置信度低于閾值,,將對(duì)各搜索參數(shù)的感興趣區(qū)進(jìn)行相應(yīng)的調(diào)整,,避免了搜索目標(biāo)不在所設(shè)感興趣區(qū)內(nèi),。同時(shí)通過對(duì)序列圖像各車道識(shí)別置信度分析,結(jié)合車道自身結(jié)構(gòu)特點(diǎn),,對(duì)各車道識(shí)別效果進(jìn)行判別,,可有效地剔除相鄰車道行駛車輛和行駛車道旁因不存在車道而對(duì)識(shí)別的影響,提高了識(shí)別可靠性,。

    Abstract:

    Based on identified driving lane, identification will be extended from single-lane to multi-lane by way of ROI (region of interest) control. The concept of confidence was introduced in order to judge the degree of accuracy on each lane, and the calculation of confidence was given under the complex condition. If the accuracy of some lanes was below the threshold, those ROI of the search parameters would be adjusted accordingly so as to avoid the search target being out of the established ROI. At the same time, by analyzing the image sequences, with the combination of the structural characteristics of each lane, the identification result was judged, that could effectively eliminate the effect of vehicles driving on adjacent lanes and remain no lane next to the driving lane upon identification. In this way, the recognition reliability increased. It is proved that this method could improve the accuracy of multi-lane identification.

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張潤生,黃小云,馬雷.復(fù)雜環(huán)境下車輛前方多車道識(shí)別方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2010,41(5):24-29. Identification of Multi-lane Frontage under the Complex Condition[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(5):24-29.

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