车辆导航系统中海量POI的检索方法

Yang Yang, Diange Yang, Zhang Tao, Li Ting
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引用次数: 0

摘要

在车辆导航系统中,兴趣点(POI)检索是一个非常重要的问题。由于嵌入式系统的限制,在检索速度适合车辆导航的情况下,需要在有限的外部存储器和内部存储器中处理海量的POI数据。为解决这一问题,设计了快速检索方法。该方法基于汉语拼音。包括数字搜索树和字符压缩的搜索表存储方法。设计了压缩数据的检索方法。通过该设计,在保证车辆导航检索速度的前提下,减小了POI检索文件的大小,降低了对外部和内部存储器的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Retrieval method of enormous POI in vehicle navigation system
In Vehicle Navigation System, POI(Points of Interest) Retrieval is important. Since the restriction of the Embedded System, the retrieval should deal with enormous POI data in limited external memory and internal memory, when the retrieval speed should fit for the vehicle navigation. The rapid retrieval method is designed for solving the problem. The method is based on Chinese Pinyin. It includes the storage method of search table with Digital Search Tree and Character Compression. The method for retrieving in the compressed data is also designed. By the design, the size of the file for the POI retrieval is reduced, so the demand of external and internal memory is lower, when the retrieval is fast enough for the vehicle navigation.
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