P Huang, L Guo, M Li, Y Fang - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
In current healthcare systems, patients use various types of medical Internet of Things devices for monitoring their health conditions. The collected information (personal health …
Attitude estimation is the process of computing the orientation angles of an object with respect to a fixed frame of reference. Gyroscope, accelerometer, and magnetometer are …
J Wu, Z Zhou, H Fourati, R Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Focusing on generalized sensor combinations, this paper deals with the attitude estimation problem using a linear complementary filter (CF). The quaternion observation model is …
This paper presents a novel method for attitude estimation of an object in 3D space by incremental learning of the Long-Short Term Memory (LSTM) network. Gyroscope …
Y Wu, S Chen, T Yin - International Journal of Automotive Technology, 2022 - Springer
GNSS/INS integrated navigation system is particularly outstanding in providing reliable navigation information for land vehicle applications. However, GNSS measurements are …
This article proposes an inertial navigation algorithm intended to lower the negative consequences of the absence of GNSS (Global Navigation Satellite System) signals on the …
L Meng, L Zhang, L Yang, W Yang - Drones, 2023 - mdpi.com
The small UAV (unmanned aerial vehicle) cluster has become an important trend in the development of UAVs because it has the advantages of being unmanned, having a small …
W Youn, HS Choi, H Ryu, S Kim… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
This paper proposes a novel dynamic model-aided navigation filter to estimate the safety- critical states of a high-altitude long-endurance (HALE) UAV without measurement of angle …
A Favata, R Gallart-Agut, R Pàmies-Vilà… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Wearable inertial sensors have undergone great development offering an easy approach to track physical activity for both athletes and for the general public. Their immense potential to …