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| 智能小车的巡检引导线图像处理研究 |
| Research on Image Processing of Inspection Guide Line of Intelligent Car |
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| DOI：10.16018/j.cnki.cn32-1650/n.202204011 |
| 中文关键词: 智能小车 边缘检测 霍夫变换 轨迹参数化 |
| 英文关键词: intelligent car edge detection Hough transform trajectory parameterization |
| 基金项目: |
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| 摘要点击次数: 43 |
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| 中文摘要: |
| 针对智能小车巡检道路引导线的识别和轨迹参数化问题，提出了一种识别引导线的方法。使用阈值分割边缘检测算法检测引导线边缘，运用霍夫变换进行引导线的追踪；对直线、圆、弧线进行轨迹参数化建模，得到以小车质心为原点的智能小车轨迹设定值。实验表明，该方法降低了智能小车导引的复杂度，能满足具有规则引导线的智能小车的日间巡检。 |
| 英文摘要: |
| Aiming at the problem of recognition and trajectory parameterization of intelligent car inspection road guide line, a method of identifying guide line was proposed. The threshold segmentation edge detection algorithm is used to detect the edge of the guide line, and the Hough transform is used to trace the guide line. Trajectory parametric modeling of straight line, circle and arc is carried out, and the trajectory setting value of intelligent car with the center of mass of the car as the origin is obtained. Experiments show that this method reduces the complexity of intelligent car guidance, and can meet the daytime inspection of intelligent cars with regular guidance lines. |
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