[HTML][HTML] Assessing the influence of sensor-induced noise on machine-learning-based changeover detection in CNC machines

VG Biju, AM Schmitt, B Engelmann - Sensors, 2024 - mdpi.com
The noise in sensor data has a substantial impact on the reliability and accuracy of (ML)
algorithms. A comprehensive framework is proposed to analyze the effects of diverse noise …

Enhanced fault detection and exclusion based on Kalman filter with colored measurement noise and application to RTK

Y Gao, Y Gao, B Liu, Y Jiang - Gps Solutions, 2021 - Springer
With the development of high-precision safety–critical applications using global navigation
satellite systems (GNSS), fault detection and exclusion (FDE) is indispensable to …

A linear Kalman filter-based integrity monitoring considering colored measurement noise

Y Gao, Y Jiang, Y Gao, G Huang - GPS solutions, 2021 - Springer
Apart from positioning accuracy, the reliability of a navigation system is also significant,
especially for safety–critical applications, such as intelligent vehicle navigation. Generally …

Real-time cascading PPP-WAR based on Kalman filter considering time-correlation

Y Jiang, Y Gao, P Zhou, Y Gao, G Huang - Journal of Geodesy, 2021 - Springer
Precise point positioning (PPP) with wide-lane ambiguity resolution (PPP-WAR) can quickly
achieve decimeter-level positioning accuracy, which is an essential improvement for real …

A linear Kalman filter-based integrity monitoring considering colored measurement noise

G Yuting, Y Jiang, Y Gao, H Guanwen - GPS Solutions, 2021 - search.proquest.com
Apart from positioning accuracy, the reliability of a navigation system is also significant,
especially for safety–critical applications, such as intelligent vehicle navigation. Generally …

[PDF][PDF] GNSS Integrity Monitoring with Modelling Temporal Correlated Measurement Noise and an Application to RTK

Y Gao - 2021 - prism.ucalgary.ca
The reliability of a navigation system is important in support of applications from self-driving
cars to smartphones, especially for safety-critical and liability-critical applications which …