基于激光扫描测量车厢外形及位置的算法  

Algorithm for measuring carriage shape and position based on laser scanning

作　　者：李祥龙 童桂英[1] 王恒 曹祥祥 Li Xianglong;Tong Guiying;Wang Heng;Cao Xiangxiang(School of Mechanical and Electrical Engineering,Yantai University Yantai 26400)

机构地区：[1]烟台大学机电汽车工程学院,山东烟台264000

出　　处：《石化技术》2018年第11期125-127,共3页Petrochemical Industry Technology

基　　金："山东省高等学校科技计划项目"J17KA039

摘　　要：针对水泥、化肥等袋装物料装车行业对车辆定位、外形尺寸测量的需求研发了一种车辆识别算法。扫描仪测量取到多组数据后,根据扫描仪测量车厢边界优化算法得到车厢边界数据,最后,设计车型判断、位置信息、车厢尺寸的算法。该算法利用优化算法提高了精度,将停车时间缩减到了15s以内,提高了装车效率。A vehicle recognition algorithm is developed for the requirements of vehicle location and shape measurement in the loading industry of cement, fertilizer and other bagged materials. After a number of data are taken from the scanner, the boundary data of the carriage is obtained by the optimization algorithm of the scanner measuring car boundary. Finally, the algorithm of car model judgment, location information and car size is designed. The algorithm improves the accuracy by using the optimization algorithm, reduces the stopping time to less than 15 seconds, and improves the loading effciency.

关 键 词：智能装车机器人 线性优化 

分 类 号：TN249[电子电信—物理电子学] TQ077[化学工程]