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Track fusion in the presence of sensor biases
  • ISSN号：{175-19675}
  • 期刊名称：IET Signal Processing
  • 时间：2014
  • 页码：958-967
  • 相关项目：基于复杂强度分布量测随机集模型的扩展目标跟踪方法研究
作者： Hongyan Zhu|Shuo Chen|
同期刊论文项目
基于复杂强度分布量测随机集模型的扩展目标跟踪方法研究
期刊论文 16 会议论文 8
同项目期刊论文
A global optimal Gaussian mixture reduction approach based on component merging
Track-to-track association based on structural similarity in the presence of sensor biases
多扩展目标的高斯混合概率假设密度滤波器
Fusion of Gaussian mixture models for maneuvering target tracking in the presence of unknown cross-c
采用随机矩阵的多扩展目标滤波器
基于松弛标号算法的多传感抗差航迹关联
考虑局部估计误差相关性的传感器选择融合
Jointtrack-to-track association and sensor registration at the track level
Fusion of Gaussian mixture models for possible mismatches of sensor model
Robust track-to-track association in the presence of sensor biases and missed detections
Maintaining track continuity for extended targets using Gaussian-mixture probability hypothesis dens