本文提出了一种用于车辆导航的地图匹配算法。
An improvement of map matching method for vehicle navigation system is presented.
车辆行进实验表明：地图匹配和GPS更新算法可以使系统导航性能得到明显改善。
The vehicle moving experiment illustrates that map match and GPS renew arithmetic may improve the performance of navigation system obviously evidently.
地图匹配制导由于具有良好的自主性而成为飞行器导航的一种重要方式。
Map matching becomes an important means of aircraft navigation due to its high autonomousness.
对导航服务中存在的问题提出了解决的途径，并介绍了伪距差分技术和地图匹配方法。
The ways and means for the solution to the problems existing in the navigation system are proposed, and the DGPS technology and the method of matching the map are also introduced.
本文通过对车辆导航过程中对地图匹配功能的需求变化分析，提出了一种自适应的动态地图匹配方法。
A dynamic map-matching method for adaptability is presented by analyzing the change in requirement of map-matching performance in the process of vehicular navigation.
通过误差来源的分析和误差模型的建立，提出了一种车辆导航中gps定位测量与数字地图实时配准的地图匹配算法。
According to the given source and mathematic model of matching error, a algorithm for real time matching of GPS positioning results and digital maps is put forward.
它应具备以下功能：地图显示、地址匹配、地图匹配、最佳路径搜索、路径导航等。
It should possess functions as follows: map display, address matching, map matching, optimal route searching, route navigating, and so on.
融合电子地图中的道路数据和GPS所提供的定位数据的地图匹配算法，可以有效地提高车辆导航的定位精度。
The map matching algorism, the fusion of the road data in digital map and the positioning data given by GPS can effectively improve the positioning accuracy in navigating system for vehicle.
本文讨论了车辆导航系统中gps实时信息在数字地图上的匹配问题。
This paper discusses the problem of the GPS real time information locating on the digital map in the vehicle guidance system.
针对常规地图匹配方法存在匹配不准的难点，设计了一种基于预测的汽车导航匹配方法，并通过实验进行了分析和验证，为解决汽车导航系统在复杂道路的匹配难题提供参考。
The paper aimed at the shortcoming of general map matching, and designed a map matching model based on forecast thought. What's more, the model was validated by practical running tests.
针对常规地图匹配方法存在匹配不准的难点，设计了一种基于预测的汽车导航匹配方法，并通过实验进行了分析和验证，为解决汽车导航系统在复杂道路的匹配难题提供参考。
The paper aimed at the shortcoming of general map matching, and designed a map matching model based on forecast thought. What's more, the model was validated by practical running tests.
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