DESIGN OF A NEW TYPE OF AGV BASED ON COMPUTER VISION  

作　　者：JiShouwen LiKeqiang MiaoLixin WangRongben GuoKeyou 

机构地区：[1]ModemLogisticsResearchCenterofShenzhenGraduateSchool,TsinghuaUniversity,Shenzhen518057,China [2]TransportationCollege,JilinUniversity,Changchun130025,China

出　　处：《Chinese Journal of Mechanical Engineering》2004年第1期97-101,共5页中国机械工程学报（英文版）

基　　金：This project is supported by National Natural Science Foundation of China(No.50175046) ;Technology Foundation of Education Ministry of China(No.00037).

摘　　要：The structure, function and working principle of JLUIV-3, which is a new typeof auto-mated guided vehicle (AGV) with computer vision, is described. The white stripe line withcertain width is used as inductive mark for JLUIV-3 automated navigation. JULIV-3 can automaticallyrecognize the Arabic numeral codes which mark the multi-branch paths and multi-operation buffers,and autonomously select the correct path for destination. Compared with the traditional AGV, it hasmuch more navigation flexibility and less cost, and provides higher-level intelligence. Theidentification method of navigation path by using neural network and the optimal control method ofthe AGV are introduced in detail.The structure, function and working principle of JLUIV-3, which is a new typeof auto-mated guided vehicle (AGV) with computer vision, is described. The white stripe line withcertain width is used as inductive mark for JLUIV-3 automated navigation. JULIV-3 can automaticallyrecognize the Arabic numeral codes which mark the multi-branch paths and multi-operation buffers,and autonomously select the correct path for destination. Compared with the traditional AGV, it hasmuch more navigation flexibility and less cost, and provides higher-level intelligence. Theidentification method of navigation path by using neural network and the optimal control method ofthe AGV are introduced in detail.

关 键 词：AGV Computer vision Optimum control Path identification LOGISTICS 

分 类 号：TH242[机械工程—机械制造及自动化] TP391.41[自动化与计算机技术—计算机应用技术]