检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:单海蛟 刘伟宁[1] 王嘉成[1] 刘培勋[1] 李治根[1,2] 邓耀华[3]
机构地区:[1]中国科学院长春光学精密机械与物理研究所,吉林长春130033 [2]中国科学院大学,北京100049 [3]广东工业大学,广东广州510006
出 处:《液晶与显示》2016年第8期801-809,共9页Chinese Journal of Liquid Crystals and Displays
基 金:国家自然科学基金(No.61401425);广东省中科院全面战略合作专项资金竞争性分配资助项目(No.2013B091500046)~~
摘 要:为了提高光电跟踪系统的稳定性和自主跟踪能力,对多传感器数据融合算法和数据的有效性估计进行研究,提出一种多传感器自主跟踪算法。首先按照统计学方法,实时估计各传感器数据的误差协方差。然后按照均方误差最小准则,对各路数据进行融合。将最小二乘多项式拟合法和记忆衰减因子应用到误差协方差估计中,提高了融合结果的可信度。最后,提出一种多传感器跟踪数据切换策略,自动选择有效传感器数据中置信度最高、跟踪效果最优的一路数据,从而实现自主稳定跟踪的目的。实验结果表明,使用改进后的数据融合算法比原始方法的最终传感器选择结果正确率提高37.5%左右。在几种典型的传感器数据异常情况下,该数据融合算法和多路数据切换策略能够完成自主跟踪的目的。In order to improve the stability and the ability of autonomous tracking of electro-optical tracking system, multi-sensor data fusion algorithm and estimate of the availability of sensor data is researched. In this paper a multi-sensor data fusion algorithm for autonomous tracking was put for- ward. First, the variance was estimated according to the statistics data real timely. Secondly, the fu- sion of the sensor data was made based on the rule of least mean square error. Then an improved esti- mation formula of the variance based on least square polynomial fit and memory attenuation factor was put forward which can improve the confidence interval of the fusion result. Finally, a multi-sensor switch-over strategy was put forward which can choose the sensor data that has the highest confidence interval and optimal tracking result from the valid ones autonomously. By this way we can achieve the aim of autonomous and stable tracking. Experiments results prove that the accuracy of sensor choiceusing the improved formula was improved 37.5% than the previous algorithm. This algorithm of data fusion and choice strategy can realize autonomous track in several typical scene of sensor-invalid.
分 类 号:V557.5[航空宇航科学与技术—人机与环境工程] TP274.2[自动化与计算机技术—检测技术与自动化装置]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.200