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免耕环境中视觉导航机器人行走路径的检测
引用本文:杨帅,赵颖,孙楠. 免耕环境中视觉导航机器人行走路径的检测[J]. 农机化研究, 2010, 32(3)
作者姓名:杨帅  赵颖  孙楠
作者单位:聊城大学,汽车与交通工程学院,山东,聊城,252059
基金项目:聊城大学科技文化创新基金项目(SRT070302QC2)
摘    要:针对免耕环境下农田作业机器人的视觉导航,提出了一种导航路径-梨沟线的检测算法,以提高图像处理速度。同时,介绍了图像采集设备,描述了农田免耕作业环境和农田作业机器人的工作流程。在此基础上,以彩色图像中的R分量为处理对象,分别判断作业区域终点和犁沟线出现位置,确定犁沟线上的候选点,并采用基于一点的Hough变换方法,获得犁沟线的直线斜率。试验表明,提出的算法具有速度快、抗干扰、准确性高等优点。

关 键 词:农田作业机器人  视觉导航  导航路径检测  改进Hough变换  

Detection of Furrows for Agricultural Mobile Robot Based on Visual Navigation under No-tillage
Yang Shuai,Zhao Ying,Sun Nan. Detection of Furrows for Agricultural Mobile Robot Based on Visual Navigation under No-tillage[J]. Journal of Agricultural Mechanization Research, 2010, 32(3)
Authors:Yang Shuai  Zhao Ying  Sun Nan
Affiliation:School of Automobile & Transportation Engineering/a>;Liaocheng University/a>;Liaocheng 252059/a>;China
Abstract:For machine vision navigation of agricultural robot under No-tillage,the article proposed a route detection algorithm to improve image process speed.The paper introduced the acquisition equipments and described No-Tillage environment,wok program of agricultural robot.Based on this work,the route diction algorithm is proposed and the algorithm took R in RGB image as object.The end of work areas and furrow position were judged.After the critical points on the furrow were found,improved Hough Transform passing...
Keywords:agricultural robot  machine vision navigation  route detection  improved hough transform  
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