摘要
车载GPS/DR组合导航监控系统中,GPS/DR数据不可避免受到各种误差源的影响而产生较大的误差,为了降低各种误差源对车辆导航的影响,有机结合能改善GPS/DR数据误差对导航影响的地图匹配算法,从而构成了GPS/DR/MM智能导航系统.文中通过分析地图匹配算法的关键技术和影响地图匹配算法可靠性等因素,提出一种基于车速递推的地图匹配算法,该算法利用基本可信数据——车速,从而很大程度地提高了地图匹配算法的可靠性.通过跑车实际数据测试表明,该算法是行之有效的.
In most car navigation and monitoring system,GPS/DR data error is inevitably because of various reasons.To solve this problem,a map-matching method is introduced which can amend GPS/ DR data error.In this paper,a map-matching algorithm based on vehicle speed is proposed while analysis of key technologies and the factors affecting the reliability of map-matching algorithm.This algorithm clever use credible dataspeed,to a large extent,improved the reliability of map-matching algorithm.The effective and applicability of this algorithm is demonstrated by real road experiments.
出处
《武汉理工大学学报（交通科学与工程版）》
2010年第4期754-757,共4页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家自然科学基金项目(批准号:49901013)
中国博士后基金项目(批准号:2005038615)
四川科技厅应用基础项目(批准号:2008JY0043-1)资助
关键词
地图匹配
车辆导航监控
车速推算
map-matching
car navigation and monitoring system
vehicle speed calculate
