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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:水利工程系
学科:港口、海岸及近海工程. 船舶与海洋结构物设计制造
办公地点:大连理工大学 海岸和近海工程国家重点实验室 海洋工程研究所A区402室
联系方式:ypzhao@dlut.edu.cn
电子邮箱:ypzhao@dlut.edu.cn
An Adaptive Track Fusion Method with Unscented Kalman Filter
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论文类型:会议论文
发表时间:2018-01-01
收录刊物:CPCI-S
页面范围:250-254
关键字:Lidar; Radar; Vision sensor; CTRV; UKF; Adaptive track fusion
摘要:We herein proposed an adaptive track fusion algorithm based on unscented kalman filter (UKF) to improve the tracking accuracy of ground combat targets. This algorithm improved the distributed multi-sensor data fusion system and was used to fuse the data collected from the light, radar and vision sensors on one single combat platform to obtain local track estimation. Then, the local trajectory estimates of all combat platforms in the cluster are combined using an adaptive track synthesis algorithm to obtain the target track Simulation results showed that this method can obtain more accurate trajectories of tracking targets.