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论文类型：会议论文

第一作者：Shi, Yanjun

合写作者：Yang, Zhengmao,Zhang, Tongliang,Lin, Na,Zhao, Yingkai,Zhao, Yunpeng

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.