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| 基于复合模型的车辆定位跟踪算法 | |
| 引用本文： | 刘征宇,魏昕,齐琴,张利,芦东昕.基于复合模型的车辆定位跟踪算法[J].合肥工业大学学报(自然科学版),2009,32(11). |
| 作者姓名： | 刘征宇 魏昕 齐琴 张利 芦东昕 |
| 作者单位： | 1. 合肥工业大学,机械与汽车工程学院,安徽,合肥,230009 2. 北京信息科技大学,光电信息与通信工程学院,北京,100101 3. 中兴通讯股份有限公司,广东,深圳,518057 |
| 基金项目： | 中兴通讯研究基金资助项目，广东省教育部产学研结合资助项目，安徽省科技攻关资助项目 |
| 摘 要： | 车辆定位精度与采用的动力学模型直接相关.文章针对单一的动力学模型难以精确描述车辆行驶过程中的运动状态变化,提出复合CV模型和CSM模型,引入自适应切换机制,设计一种车辆定位跟踪算法.通过与CSM模型实验结果进行比较,验证了该算法的优越性. |
| 关 键 词： | 车辆定位 动态滤波 卡尔曼滤波 "当前"统计模型 |
Algorithm for vehicle positioning and tracking based on compounded dynamic model |
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| LIU Zheng-yu,WEI Xin,QI Qin,ZHANG Li,LU Dong-xin.Algorithm for vehicle positioning and tracking based on compounded dynamic model[J].Journal of Hefei University of Technology(Natural Science),2009,32(11). | |
| Authors: | LIU Zheng-yu WEI Xin QI Qin ZHANG Li LU Dong-xin |
| Abstract: | The accuracy of vehicle positioning is directly affected by the dynamic models. It is difficult to use a single model to describe vehicle movement precisely because of the variable motion in the running process of vehicles. By integrating the constant velocity (CV) model and the current statistical model(CSM) and introducing the adaptive switching mechanism,an algorithm for vehicle positioning and tracking is designed. The computation results are compared with those by the CSM, which verifies the effectiveness of the algorithm. |
| Keywords: | vehicle positioning dynamic filtering! Kalman filtering current statistical model(CSM) |
| 本文献已被 万方数据 等数据库收录！ | |