The Kalman filter (KF) is a popular state estimation technique that is utilized in a variety of
applications, including positioning and navigation, sensor networks, battery management …

Global registration is a fundamental task that estimates the relative pose between two
viewpoints of 3D point clouds. However, there are two issues that degrade the performance …

Global registration using 3D point clouds is a crucial technology for mobile platforms to
achieve localization or manage loop-closing situations. In recent years, numerous …

Existing interacting multiple models (IMMs) are limited by the time delay in responding to
system model jumps due to the nature of the soft hand-off algorithm that interacts among …

A synthetic air data system (SADS) is an analytical redundancy technique that is crucial for
unmanned aerial vehicles (UAVs) and is used as a backup system during air data sensor …

This paper presents the active disturbance rejection control (ADRC) algorithm applied to
control the position of the small flying robot Crazyflie 2.1 in two degrees of freedom …

当前动态系统呈现大型化, 复杂化的趋势, 基于贝叶斯滤波的动态系统状态估计遇到了一系列新
的挑战. 随着深度学习在特征提取与模式识别等方面的优势与潜力不断显现 …

This paper proposes a condition-based maintenance system based on artificial intelligence
for an online monitoring system of the support bed expansion in a 30-liter pilot-scale inverse …

Due to the state trajectory-independent features of invariant Kalman filtering (InEKF), it has
attracted widespread attention in the research community for its significantly improved state …

View Video Presentation: https://doi. org/10.2514/6.2023-3561. vid Kalman filtering for
global navigation satellite systems (GNSS)-aided inertial navigation has been widely used …