As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …

We review some advances of the particle filtering (PF) algorithm that have been achieved in
the last decade in the context of target tracking, with regard to either a single target or …

Future vehicle systems for active pedestrian safety will not only require a high recognition
performance but also an accurate analysis of the developing traffic situation. In this paper …

We design a sequential Monte Carlo scheme for the dual purpose of Bayesian inference
and model selection. We consider the application context of urban mobility, where several …

摘要本文梳理了粒子滤波理论基本内容, 发展脉络和最新研究进展, 特别是对其在多目标跟踪
应用中的一系列难点问题与主流解决思路进行了详细分析和报道. 常规粒子滤波研究重点主要 …

From the celebrated Gaussian mixture, model averaging estimators to the cutting-edge multi-
Bernoulli mixture of various forms, finite mixture models offer a fundamental and flexible …

We propose a new data-driven prognostic method based on the interacting multiple model
particle filter (IMMPF) for determining the remaining useful life (RUL) of lithium-ion (Li-ion) …

This paper presents a prognostic study on lithium-ion batteries in implantable medical
devices, in which a hybrid data-driven/model-based method is employed for remaining …

Tracking multiple targets with uncertain target dynamics is a difficult problem, especially with
nonlinear state and/or measurement equations. With multiple targets, representing the full …

Unmanned aerial vehicles (UAV) play a pivotal role in the field of security owing to their
flexibility, efficiency, and low cost. The realization of vehicle target detection, tracking, and …