Multi-modal data fusion has gained popularity due to its diverse applications, leading to an
increased demand for external sensor calibration. Despite several proven calibration …

Tightly-coupled GNSS/INS (Global Navigation Satellite System/Inertial Navigation System)
integration is of importance to vehicle positioning. However, this integration technology has …

Multi-sensor multi-target tracking is a popular topic in the field of information fusion. It
improves the accuracy and stability of target tracking by fusing multiple local sensor …

Abstract Inertial Navigation System/Celestial Navigation System (INS/CNS) integration,
especially for the tightly-coupled mode, provides a promising autonomous tactics for …

多传感器多目标跟踪是信息融合领域的热点问题, 其通过融合多个局部传感器数据,
提高目标跟踪精度和稳定性. 多传感器多目标跟踪按融合体系可分为分布式, 集中式, 混合式3 类 …

Although the Internet of Things (IoT) will play a key role in the development of next
generation information, network, and communication technologies, many are still unclear …

Abstract Cubature Kalman Filter (CKF) offers a promising solution to handle the data fusion
of integrated nonlinear INS/GNSS (Inertial Navigation System/Global Navigation Satellite …

Multitarget tracking based on multisensor fusion perception is one of the key technologies to
realize the intelligent driving of automobiles and has become a research hotspot in the field …

This paper presents a new methodology of distributed state fusion by using the sparse-grid
quadrature filter to deal with the fusion estimation problem for multi-sensor nonlinear …

The asynchronous estimation fusion problem is investigated for an arbitrary number of
sensors with arbitrary sampling rates. By constructing an augmented measurement equation …