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Path recognition method of agricultural vehicle in different illumination environments

机译：不同照明环境中农业车辆的路径识别方法

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摘要

In order to improve the adaptability of the vision navigation system in the agricultural vehicle to various environments,the path recognition method for different illumination environments was proposed in this paper.Firstly,the influence of different illumination environments on the path recognition for the vision navigation system of the agricultural vehicle was investigated.Secondly,on basis of path recognition in the ordinary environment,a new method mainly composed of histogram equalization algoritihm and center line detecting algorithm was applied in the path recognition in different illumination environment.Finally,the many images of different illumination environment were used to verify proposed method.Experimental results showed that the new method was effective in various illumination environments,and could obtain the target navigation path reliably and accurately.The recognition correct rate of the vision navigation system was 92％,and the average cost time was 245 ms.The research can provide a reference for design of the vision navigation system in the agricultural vehicle.
机译：为了提高农业车辆视觉导航系统的适应性，在各种环境中，在本文中提出了不同照明环境的路径识别方法。首先，不同照明环境对视觉导航系统的路径识别的影响在农业车辆的研究中，在普通环境中的路径识别的基础上，主要由直方图均衡算法和中心线检测算法应用于不同照明环境的路径识别。最后，许多图像使用不同的照明环境来验证提出的方法。实验结果表明，新方法在各种照明环境中是有效的，并且可以可靠且准确地获得目标导航路径。视觉导航系统的识别正确率为92％，而且平均成本时间为245毫秒ARCH可以提供农业车辆视觉导航系统的设计参考。

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