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A VISION-BASED GUIDANCE SYSTEM OF AGRICULTURAL VEHICLE

机译:基于视觉的农用车辆导航系统

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This paper introduced the vision-based guidance system of agricultural vehicle. According to the method extracting the guidance parameters by Hough transform, a new method based the center line detecting and erosion algorithm for the path recognition was designed. The guidance control system of agricultural vehicle was analyzed, a PD controller was developed to minimize the path error. The vehicle's guidance accuracy was tested in test paths constructed of common blue artifical plant, the guidance system guided the tractor automatically through the straight path, path tracking performance was observed. The largest error of the lateral displacement is 7.5cm, the average error of the lateral displacement is 1.54cm and the largest error of the heading displacement is 1.443deg, the largest error of the heading displacement is 0.05deg, when the Vehicle was tested in the straight path at a speed of 5km/h. The image processing average time was 168ms per image. Those results can meat the requirement of practical application.
机译:介绍了基于视觉的农用车辆导航系统。根据通过霍夫变换提取制导参数的方法,设计了一种基于中心线检测和腐蚀算法的路径识别新方法。对农用车辆的制导控制系统进行了分析,开发了PD控制器以减小路径误差。在普通的蓝色人造植物构造的测试路径上测试了车辆的引导精度,该引导系统自动引导拖拉机通过直线路径,观察了路径跟踪性能。在车辆上进行试验时,横向位移的最大误差为7.5cm,横向位移的平均误差为1.54cm,航向位移的最大误差为1.443度,航向位移的最大误差为0.05度。以5km / h的速度行驶的直线路径。图像处理平均时间为每张图像168ms。这些结果可以满足实际应用的需求。

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