Results 221 to 230 of about 51,586 (282)

A Robust and Efficient IMU Array/GNSS Data Fusion Algorithm

IEEE Sensors Journal
The inertial measurement unit (IMU) array, composed of multiple IMUs, has been proven to be able to effectively improve the navigation performance in inertial navigation system (INS)/global navigation satellite system (GNSS) integrated applications.
Tisheng Zhang, Xiaoji Niu, Hailiang Tang   +2 more
exaly   +2 more sources

On the use of IMUs in the PnP problem

2014 IEEE International Conference on Robotics and Automation (ICRA), 2014
In this paper the problem of estimating the relative orientation and position between a camera and an object is investigated. It is assumed that both the camera and the object are provided with an Inertial Measurement Unit (IMU) capable of measuring their attitude with respect to the gravity and the earth magnetic vectors.
L. D'Alfonso, E. Garone, P. Muraca, P. Pugliese   +3 more
openaire   +3 more sources

LIMU-BERT: Unleashing the Potential of Unlabeled Data for IMU Sensing Applications

ACM International Conference on Embedded Networked Sensor Systems, 2021
Deep learning greatly empowers Inertial Measurement Unit (IMU) sensors for various mobile sensing applications, including human activity recognition, human-computer interaction, localization and tracking, and many more.
Huatao Xu, Pengfei Zhou, Rui Tan, Mo Li, G. Shen   +4 more
semanticscholar   +1 more source

Kalman-Filter-Based Integration of IMU and UWB for High-Accuracy Indoor Positioning and Navigation

IEEE Internet of Things Journal, 2020
The emerging Internet of Things (IoT) applications, such as smart manufacturing and smart home, lead to a huge demand on the provisioning of low-cost and high-accuracy positioning and navigation solutions.
Daquan Feng, Chunqi Wang, Chunlong He, Y. Zhuang, X. Xia   +4 more
semanticscholar   +1 more source

Impact of the Earth Rotation Compensation on MEMS-IMU Preintegration of Factor Graph Optimization

IEEE Sensors Journal, 2022
In filtering-based global navigation satellite system (GNSS) / inertial navigation system (INS) integrated navigation systems, the precise INS mechanization has fully considered the impact of the Earth rotation, Coriolis acceleration, etc.
Hailiang Tang, Tisheng Zhang, X. Niu, Jing Fan, Jingnan Liu   +4 more
semanticscholar   +1 more source

A MEMS IMU Gyroscope Calibration Method Based on Deep Learning

IEEE Transactions on Instrumentation and Measurement, 2022
The errors of microelectromechanical system (MEMS) inertial measurement units (IMUs) are huge, complex, nonlinear, and time varying. The traditional calibration method based on a linear model for calibration and compensation is obviously not applicable ...
Fengrong Huang, Zhen Wang, L. Xing, Chunyan Gao   +3 more
semanticscholar   +1 more source

IMU and Smartphone Camera Fusion for Knee Adduction and Knee Flexion Moment Estimation During Walking

IEEE Transactions on Industrial Informatics, 2023
Wearable sensing and computer vision could move biomechanics from specialized laboratories to natural environments, but better algorithms are needed to extract meaningful outcomes from these emerging modalities. In this article, we present new models for
Tian Tan, Dianxin Wang, P. Shull, E. Halilaj   +3 more
semanticscholar   +1 more source

A Multimodal Fatigue Detection System Using sEMG and IMU Signals with a Hybrid CNN-LSTM-Attention Model

Italian National Conference on Sensors
Physical fatigue significantly impacts safety and performance across industrial, athletic, and medical domains, yet its detection remains challenging due to individual variability and limited generalizability of existing methods.
Soree Hwang, Nayeon Kwon, Dongwon Lee, Jongman Kim, Sumin Yang, Inchan Youn, Hyuk-June Moon, Joon-Kyung Sung, Sungmin Han   +8 more
semanticscholar   +1 more source

Multi-IMU Proprioceptive Odometry for Legged Robots

IEEE/RJS International Conference on Intelligent RObots and Systems, 2023
This paper presents a novel, low-cost proprioceptive sensing solution for legged robots with point feet to achieve accurate low-drift long-term position and velocity estimation. In addition to conventional sensors, including one body Inertial Measurement
Shuo Yang, Zixin Zhang, Benjamin Bokser, Zachary Manchester   +3 more
semanticscholar   +1 more source

Multi-IMU System for Robust Inertial Navigation: Kalman Filters and Differential Evolution-Based Fault Detection and Isolation

IEEE Sensors Journal
The safety and reliability of various navigation applications are critically dependent on the integrity of sensor measurements. The inertial measurement unit (IMU) is a primary sensor in many navigation systems, yet is susceptible to diverse errors and ...
Eslam Mounier, Malek Karaim, M. Korenberg, A. Noureldin   +3 more
semanticscholar   +1 more source