On the integration of enabling wireless technologies and sensor fusion for next-generation connected and autonomous vehicles
The automotive industry is transitioning towards intelligent, connected, and autonomous
vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety …
vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety …
Digital twin in aerospace industry: A gentle introduction
L Li, S Aslam, A Wileman, S Perinpanayagam - IEEE Access, 2021 - ieeexplore.ieee.org
Digital twin (DT), primarily a virtual replica of any conceivable physical entity, is a highly
transformative technology with profound implications. Whether it be product development …
transformative technology with profound implications. Whether it be product development …
[HTML][HTML] Review on bio-inspired polarized skylight navigation
K Fang, GUO Yingjing, J Zhang, FAN Xiaojing… - Chinese Journal of …, 2023 - Elsevier
In this review, the research progress of bio-inspired polarized skylight navigation is
evaluated from the perspectives of theoretical basis, information detection, sensor design …
evaluated from the perspectives of theoretical basis, information detection, sensor design …
Cubature rule-based distributed optimal fusion with identification and prediction of kinematic model error for integrated UAV navigation
Abstract Integrated MIMU/GNSS/CNS (micro-electro-mechanical system-based inertial
measurement unit/global navigation satellite system/celestial navigation system) is a …
measurement unit/global navigation satellite system/celestial navigation system) is a …
Maximum likelihood principle and moving horizon estimation based adaptive unscented Kalman filter
The classical unscented Kalman filter (UKF) requires prior knowledge on statistical
characteristics of system noises for state estimation of a nonlinear dynamic system. If the …
characteristics of system noises for state estimation of a nonlinear dynamic system. If the …
Filtering based multi-sensor data fusion algorithm for a reliable unmanned surface vehicle navigation
When considering the working conditions under which an unmanned surface vehicle (USV)
operates, the navigational sensors, which already have inherent uncertainties, are subjected …
operates, the navigational sensors, which already have inherent uncertainties, are subjected …
Multi-sensor optimal data fusion based on the adaptive fading unscented Kalman filter
This paper presents a new optimal data fusion methodology based on the adaptive fading
unscented Kalman filter for multi-sensor nonlinear stochastic systems. This methodology has …
unscented Kalman filter for multi-sensor nonlinear stochastic systems. This methodology has …
Multi-route fusion method of GNSS and accelerometer for structural health monitoring
Displacement extraction of structures is of great significance to structural health monitoring
(SHM). Global Navigation Satellite System (GNSS) can provide absolute position, but the …
(SHM). Global Navigation Satellite System (GNSS) can provide absolute position, but the …
Adaptive unscented Kalman filter based estimation and filtering for dynamic positioning with model uncertainties
F Deng, HL Yang, LJ Wang - … Journal of Control, Automation and Systems, 2019 - Springer
A novel adaptive unscented Kalman filter (AUKF) is presented and applied to ship dynamic
positioning (DP) system with model uncertainties of time-varying noise statistics, model …
positioning (DP) system with model uncertainties of time-varying noise statistics, model …
Distributed nonlinear fusion filtering for multi-sensor networked systems with random varying parameter matrix and missing measurements
L Zhao, L Sun, J Hu - Neurocomputing, 2024 - Elsevier
This paper is concerned with the distributed fusion filtering algorithm design problem for
multi-sensor nonlinear networked systems (MSNNSs) subject to multiplicative noises …
multi-sensor nonlinear networked systems (MSNNSs) subject to multiplicative noises …