一种用于车辆导航系统的改进地图匹配算法

Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems Pub Date : 2003-12-19 DOI:10.1109/ITSC.2003.1252683

Dakai Yang, B. Cai, Yifang Yuan

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引用次数: 94

摘要

车辆导航系统通过全球定位系统(GPS)或航位推算系统(DR)估计车辆位置。然而，由于未知的GPS噪声，估计的位置存在不理想的误差。地图匹配(MM)算法的目的是将车辆的不准确位置定位到系统参考的地图数据中。本文首先讨论了一种简单的映射匹配算法。然后将卡尔曼滤波和D-S证据理论引入改进的映射匹配算法中。实际道路实验证明了改进算法的有效性和适用性，并取得了较好的结果。

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An improved map-matching algorithm used in vehicle navigation system

Vehicle navigation system estimates vehicle location from Global Positioning System (GPS) or dead-reckoning (DR) system. However, because of unknown GPS noise, the estimated location has undesirable errors. The purpose of map matching (MM) algorithm is to locate the inaccuracy position of the vehicle to the map data that is referenced by the system. In this paper, a simple map-matching algorithm is discussed first. Then Kalman filtering and Dempster-Shafer (D-S) theory of evidence are introduced into the improved map-matching algorithm. The real road experiments demonstrate the effectiveness and applicability of the improved algorithm, and it is found to produce better results.

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Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems

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