基于霍夫变换的农业AGV车道线视觉检测方法  

Visual Detection Methods of Agricultural AGV Lane Line Based on Hough Transform

作　　者：邓嘉明[1] 张海鑫 张诺仪 Deng Jia-ming;ZHANG Hai-xin;ZHANG Nuo-yi(Network Center,Jiaying University,Meizhou Guangdong,514015;School of Physics and Electronic Engineering,Jiaying University,Meizhou Guangdong,514015;School of Computer,Jiaying University,Meizhou Guangdong,514015)

机构地区：[1]嘉应学院信息网络中心,广东梅州514015 [2]嘉应学院物理与电子工程学院,广东梅州514015 [3]嘉应学院计算机学院,广东梅州514015

出　　处：《山西大同大学学报（自然科学版）》2021年第5期18-21,共4页Journal of Shanxi Datong University(Natural Science Edition)

基　　金：广东省省级科技计划项目[2016B010122034,2017B090906003];梅州市科技计划[2019A0103006,2020A0104009]。

摘　　要：基于GPS、uwb、SLAM、磁导航循迹等技术的自动引导车技术已在工业生产室内环境中大量使用,但由于在农业场景中室外因素的不确定性,多种技术在农业AGV中使用效果并不理想。提出一种基于视觉的车道线检测方法,利用Hough算法进行现实场景的车道线提取,有效提高农业AGV实际应用水平。The technique of automatic guided vehicle(AGV)based on GPS,uwb,SLAM and magnetic navigation trail has been widely applied in indoor environment of industrial production.However,due to the uncertainty of outdoor factors in agricultural scenes,many techniques do not work so well on AGV.A visual detection method of land line was proposed in this paper,which worked by extracting real lane lines based on Hough algorithm in order to effectively improve the applied level of AGV.

关 键 词：视觉检测 边缘检测 HOUGH算法 ROI 车道线拟合 

分 类 号：X703.5[环境科学与工程—环境工程]