道路条件下车辆跟踪的多目标数据关联与决策  

Multi-target data association and decision for vehicle tracking in road situation

作　　者：党宏社[1] 韩崇昭[1] 段战胜[1] 

机构地区：[1]西安交通大学电信工程学院,陕西西安710049

出　　处：《控制与决策》2004年第1期92-95,共4页Control and Decision

基　　金：国家重点基础研究发展规划基金资助项目(2001CB309403).

摘　　要：介绍一种根据证据理论和模糊数学实现航迹与量测之间数据关联的方法.利用模糊逻辑确定量测与航迹之间的mass函数,再用证据合成规则得到信度函数阵,最后根据最大信度原理确定量测与航迹的关联关系.蒙特卡洛仿真表明该方法具有较好的关联效果,与最近邻方法相比,可提高正确关联的概率.Based on the evidence theory and fuzzy mathematics, a new method of data association between the tracks and the measurements is proposed. The mass function is determined by using fuzzy mathematics, and a belief matrix is produced according to the evidence combination rule. Then the decision is made by means of the maximum belief. The Monte Carlo simulation results indicate that the new method has a good association capacity. Compared with NN (nearest-neighbor) method, the new method increases the correct correlation probability.

关 键 词：证据合成 数据关联 多目标跟踪算法 D-S证据理论 模糊数学 信度函数阵 车辆跟踪 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]