复杂环境下车辆前方多车道识别方法
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Identification of Multi-lane Frontage under the Complex Condition
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    摘要:

    在识别行驶车道的基础上,通过控制感兴趣区将识别从单车道扩展到多车道。为提高复杂工况下识别的准确性,引入车道识别置信度,对每条分道线识别的准确程度进行判断,并针对复杂工况的特点给出置信度的计算方法。若置信度低于阈值,将对各搜索参数的感兴趣区进行相应的调整,避免了搜索目标不在所设感兴趣区内。同时通过对序列图像各车道识别置信度分析,结合车道自身结构特点,对各车道识别效果进行判别,可有效地剔除相邻车道行驶车辆和行驶车道旁因不存在车道而对识别的影响,提高了识别可靠性。

    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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张润生,黄小云,马雷.复杂环境下车辆前方多车道识别方法[J].农业机械学报,2010,41(5):24-29.

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