【摘要】 为提高视觉导航AGV在运行过程中对路径标识符识别的可靠性和实时性,首先设计了实际应用中常见的几类标识符,然后针对这些标识符提出了一种基于形状特征的识别算法,最后通过实验验证了该算法的可行性,并对实验结果进行了分析,分析表明当标识符存在污损、旋转、比例缩放以及光照条件变化等情况时,该算法仍然能够获得快速高精度的识别效果。更多还原

【Abstract】 In order to obtain better robustness and real- time during the recognition of path identifiers at the vision- based automatic guided vehicle( AGV) runs,it designs several kinds of common identifiers in practical application. And then aiming at these identifiers,it proposes a method of identifiers recognition based on shape features,shows the detail about extractting the image edges with Canny operator,construction the histogram of oriented gradient. It uses Euclidean distance as similarity measurement to match the model image and test image.Experimental results demonstrate that the method has fast speed and high accuracy when the identifiers are dirty,rotated,scale- changed or the illumination changes.更多还原