Robot View Navigation Based on Level-divided Strategy

摘要：

In allusion to the colored image matching characteristic in the system of robot view navigation, SSDA (the sequential similarity detection algorithm) is improved and adaptive genetic algorithm is brought in; meanwhile, level-divided search strategy connective with rough and exact matching. The improved algorithm can enhance the image matching speed with no matching accuracy reduced, so that real-time requirements of robot view navigation can be met and robot view navigation will be of preferable robustness.

关键词： level-divided strategy Image matching SSDA adaptive genetic algorithm

作者: Yinbing Li Jing Yan

作者单位: Computer Science and Technology Department Tangshan College Tang Shan,China Computer Science and Technology Department Tangshan Teachers College Tang Shan,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 579-582

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）