Accurate estimation of vehicle sideslip angle and attitude angles are essential for the safety
control and lateral behaviour of driving performance. In this article, the variation of wheels …

In the past decade, touchless interaction with objects has drawn increasing attention in a
wide range of applications, from entertainment to the real-time control of robots. For this …

This paper studies the centralized and distributed state estimation problems for nonlinear
multi-sensor systems with unknown probability of measurement loss. Based on the …

Due to the complexity, time variability, and mutability of the noncooperative maneuvering
target, the dynamic tracking model of the target does not match with the actual state, which …

Traditionally, connected vehicles (CVs) share their own sensor data that relies on the
satellite with their surrounding vehicles by vehicle-to-vehicle (V2V) communication …

This paper derives a Kullback-Leibler average (KLA) based adaptive interacting multiple
model (IMM) filter for jump Markov systems with inaccurate noise covariances in the …

In this paper, we study a distributed state estimation problem for Markov jump systems (MJS)
over sensor networks, in which each sensor node connects with each other through wireless …

Aiming at the problem of poor tracking performance of traditional filtering algorithms for
maneuvering extended targets, an improved interactive multimodel second-order extended …

在高机动目标跟踪中, 针对标准交互式多模型算法使用固定的转移概率矩阵导致跟踪精度下降的
问题, 提出了一种转移概率矩阵具备自适应更新的高机动目标跟踪ATPM-IMM 算法 …

In Kalman filtering (KF), a tradeoff exists when selecting the filter step size. Generally, a
smaller step size improves the estimation accuracy, yet with the cost of a high computational …