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基于机器视觉边缘检测的园林喷药机器人导航线提取
引用本文:陈继清,王志奎,强虎,吴家华,赵超阳,谭成志. 基于机器视觉边缘检测的园林喷药机器人导航线提取[J]. 中国农机化学报, 2021, 0(3): 40-47
作者姓名:陈继清  王志奎  强虎  吴家华  赵超阳  谭成志
作者单位:广西大学机械工程学院
基金项目:国家自然科学基金(61703116);广西自然科学基金(2017GXNSFBA198228);广西科技基地和人才专项(AD19110034)。
摘    要:导航路径的精确拟合是园林机器人自动化导航的关键,针对现有园林喷洒机器人仍是人工操作为主的现象,提出一种基于视觉边缘检测的导航路径拟合算法,用于指导园林喷药机器人的自动化导航.首先利用“化曲为直”的思想,截取拍摄图像的最后200像素行作为感兴趣区域;其次提出一种针对园林道路的灰度化因子,对图像进行灰度化处理;然后对图像进...

关 键 词:视觉导航  边缘检测  边界拟合  灰度化因子  园林机器人  自动化导航

Extraction of navigation line for garden spraying robot based on machine vision edge detection
Chen Jiqing,Wang Zhikui,Qiang Hu,Wu Jiahua,Zhao Chaoyang,Tan Chengzhi. Extraction of navigation line for garden spraying robot based on machine vision edge detection[J]. Chinese Agricultural Mechanization, 2021, 0(3): 40-47
Authors:Chen Jiqing  Wang Zhikui  Qiang Hu  Wu Jiahua  Zhao Chaoyang  Tan Chengzhi
Affiliation:(College of Mechatronic Engineering,Guangxi University,Guangxi Manufacturing System and Advanced Manufacturing Technology Key Laboratory,Nanning,530007,China)
Abstract:The accurate fitting of navigation path is the key to the automatic navigation of garden robot.Aiming at the phenomenon that the existing garden spraying robot is still dominated by manual operation,this paper proposes a navigation path fitting algorithm based on visual edge detection to guide the automatic navigation of garden spraying robot.Firstly,the idea of“turning curve into straight”is used to intercept the last 200 pixel line of the image as the region of interest;Secondly,a graying factor for garden road is proposed to gray the image;Then the image is scanned,and the width threshold T is set according to the difference between noise and road in several aspects,so as to detect the road edgequickly;According to the detected edge points,the mean value of road edge points is calculated to fit the boundary line.Finally,according to the coordinates of road vertex,the central axis equation of trapezoid road is calculated,and the guide line is extracted,which provides parameters for the automatic navigation of garden robot.The experimental results show that the average time of the algorithm is 53 ms,and the error is within 0.6°.It can be seen that the proposed algorithm can meet the requirements of real-time,and the algorithm has high robustness and accuracy,which provides a theoretical basis for the automatic navigation of garden spraying robot.
Keywords:visual navigation  boundary detection  boundary fitting  grayscale factor  garden robot  automatic navigation
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