Results 91 to 100 of about 174,012 (205)
Visual-inertial self-calibration on informative motion segments
Environmental conditions and external effects, such as shocks, have a significant impact on the calibration parameters of visual-inertial sensor systems. Thus long-term operation of these systems cannot fully rely on factory calibration.
Burri, Michael +5 more
core +1 more source
ABSTRACT This study introduces a novel calibration strategy for the linear Kalman filter (LKF) fusion application in condition monitoring, specifically utilizing accelerated aging data. Unlike the existing literature that often focuses on complex nonlinear Kalman filter variants, this research delves into the calibration of LKF.
Emre Genis, Duygu Bayram Kara
wiley +1 more source
Value of information‐driven innovation in Gerber saddles monitoring
Abstract Innovation plays a crucial role in shaping technological, economic, and social progress in modern societies. In the realm of bridge integrity management, the development and diffusion of technologies to acquire information can significantly enhance industries' safety and functionality capabilities.
Giancarlo Costa +3 more
wiley +1 more source
Study of the Influence of Phase Noise on the MEMS Disk Resonator Gyroscope Interface Circuit
In this paper, a detailed analysis of the influence of phase noise on the micro-electro-mechanical system (MEMS) disk resonator gyroscope (DRG) is presented.
Wenbo Zhang +7 more
doaj +1 more source
Noise and thermal stability of vibrating micro-gyrometers preamplifiers [PDF]
The preamplifier is a critical component of gyrometer's electronics. Indeed the resolution of the sensor is limited by its signal to noise ratio, and the gyrometer's thermal stability is limited by its gain drift.
Dupret, A. +6 more
core +1 more source
Enhanced Vertical Sidewall Quality for Functional AlN Films in 3D Piezo MEMS Applications
This work examines cryogenic deep reactive ion etching (cryo‐DRIE) and hydrogen annealing to prepare vertical silicon sidewalls suitable for aluminium nitride (AlN) film growth. Achieving smooth and crystalline AlN on these surfaces is essential for microelectromechanical systems (MEMS) applications requiring three dimensional (3D) sensing and ...
Arsam Ali +2 more
wiley +1 more source
Research on Filtering Algorithm of MEMS Gyroscope Based on Information Fusion
As an important inertial sensor, the gyroscope is mainly used to measure angular velocity in inertial space. However, due to the influence of semiconductor thermal noise and electromagnetic interference, the output of the gyroscope has a certain random ...
Hui Guo, Huajie Hong
doaj +1 more source
MEMS: The Sensory Nervous System for Embodied AI Robots
Embodied AI represents a shift of intelligence from virtual to physical realms, calling for efficient and multimodal perceptual capabilities. This review illustrates how Micro‐Electro‐Mechanical Systems (MEMS) offer miniaturized, low‐power sensors such as those for ranging, inertia, touch, sound and smell, which serve as robotic “sensory organs”.
Xu Zhou +8 more
wiley +1 more source
Abstract The Global Navigation Satellite System—Acoustic combination (GNSS‐A) is used to observe seafloor crustal deformation by determining the global position of the seafloor with GNSS positioning and acoustic ranging between a sea surface platform and a transponder station located on the seafloor. However, GNSS‐A observations are currently conducted
Y. Yoshizumi +6 more
wiley +1 more source
To improve the dynamic random error compensation accuracy of the Micro Electro Mechanical System (MEMS) gyroscope at different angular rates, an adaptive filtering approach based on the dynamic variance model was proposed.
Yanshun Zhang +4 more
doaj +1 more source

