Sensor fusion for object tracking is attractive since the integration of multiple sensors and/or
algorithms with different characteristics can improve performance. However, there exist …

In order to address issues affecting the estimation accuracy of the state of charge (SOC) in
the state of health (SOH) of lithium-ion batteries throughout their whole life cycle, this paper …

针对多机动目标跟踪的传统数据关联算法约束条件苛刻, 估计精度低, 计算量大等问题,
提出了一种基于随机集理论的非数据关联的多机动目标跟踪算法. 该算法将高斯混合概率假设 …

Resampling of standard particle filters will cause particle depletion and require abundant
particles in the state estimation, which can hardly meet the accuracy and velocity …

针对杂波环境下标准的势均衡多伯努利滤波器不能有效跟踪多机动目标的问题,
本文提出了一种新的多机动目标跟踪算法. 该方法将势均衡多伯努利滤波器与" 当前" …

In this contribution, we present an overview of modeling techniques for sensory existence
evidence using the Dempster Shafer Theory of Evidence (DST). Several modeling aspects …

This paper proposes an interactive multiple model (IMM) based method for predicting lane
changes in highways, as a part of a scene interpreter system. The sensor unit consists of a …

为解决非线性系统滤波的非线性和多机动目标跟踪问题, 提出了一种基于交互多模型(IMM)
的无迹卡尔曼实现的高斯混合概率假设密度滤波(UK—GMPHDF) 算法. 该算法结合了IMM …

This paper addresses distributed multitarget tracking over a network of heterogeneous
sensors. We consider a 3D heterogeneous track-to-track fusion (T2TF) problem using radars …