基于图像识别引导的AGV运行仿真研究  

Research of AGV Navigation Simulation Based on Image Recognition Guidance

作　　者：王悠[1] 吴晓波[1] 钟一洋[1] 杨玖宏[1] 

机构地区：[1]后勤工程学院后勤信息与军事物流工程系,重庆401311

出　　处：《后勤工程学院学报》2013年第5期90-96,共7页Journal of Logistical Engineering University

摘　　要：在自动化立体库中,为较好地分析AGV图像识别引导技术,验证该技术的可行性,进行了AGV运行仿真研究。首先,分析了AGV运行环境情况,利用3dsMax进行了场景建模。然后,将模型文件读入OpenGL,编写程序实现AGV运动和运行视点的变换。通过采集AGV车身与路径轴线的偏差,计算其平均绝对误差并与实际要求比较,结果满足实际要求,从而验证了该技术的可行性。AGV navigation simulation research is conducted in automatic storage and retrieval system to better analyze the AGV image recognition guiding technology and verify its feasibility. Firstly, scene models are completed by 3dsMax based on an analysis of AGV running environment. Secondly, the model file is read into OpenGL implementation, and AGV movement and per- spective transformation in the simulation are realized by programming. Then by collecting the deviation between AGV body and path axis, the average absolute error is worked out and compared with actual requirements. The results verify the feasibility of the AGV image recognition guiding technology.

关 键 词：视觉引导 图像识别 AGV OPENGL 

分 类 号：TM933.22[电气工程—电力电子与电力传动]