摘要
当前车载电子地图数据的更新主要采用离线版本更新的方式,该方法更新周期长,不能满足用户的现势性需求。该文设计了可增量的导航兴趣点数据库,提出了兴趣点增量数据结构,以动态扩展的增量形式存储导航兴趣点,并利用词头数字化压缩方法减少了数据量,最后通过增删词表计算车载导航设备和增量中心的检索文件及关联文件的差异,实现了兴趣点数据的增量更新。实验证明,该方法修改数据量小,更新速度快,能满足嵌入式导航设备兴趣点数据的动态增量需求。
Current digital road map data is mainly updated off-line, which is too slow for real-time systems. This article describes a system developed with an incremental navigation POI (point of interest) database that stores the navigation POI information using an incremental dynamic spreading data format which reduces the amount of stored data using digital prefix compression. The difference of version between vehicular navigation terminal and map server is achieved by adding or deleting the POI word list and then the navigation POI data is incrementally updated. Tests show that this method needs to continuously modify only a small amount of data so it updates very fast and can function in real time.
出处
《清华大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2012年第4期457-461,467,共6页
Journal of Tsinghua University(Science and Technology)
基金
国家“八六三”高技术项目(2006AA110116)
关键词
兴趣点
增量更新
车辆导航
嵌入式系统
point of interest
incremental updating
vehiclenavlgation
embedded system