Results 281 to 290 of about 81,384 (338)

Range-Focused Fusion of Camera-IMU-UWB for Accurate and Drift-Reduced Localization

IEEE Robotics and Automation Letters, 2021
In this work, we present a tightly-coupled fusion scheme of a monocular camera, a 6-DoF IMU, and a single unknown Ultra-wideband (UWB) anchor to achieve accurate and drift-reduced localization.
T. Nguyen, Thien-Minh Nguyen, Lihua Xie
semanticscholar   +1 more source

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, Man Yuan, Liqiang Wang, Hailiang Tang, Xiao-Ji Niu   +4 more
semanticscholar   +1 more source

A Simple Self-Supervised IMU Denoising Method for Inertial Aided Navigation

IEEE Robotics and Automation Letters, 2023
Inertial Measurement Unit (IMU) plays an important role in inertial aided navigation on robots. However, raw IMU data could be noisy, especially for low-cost IMUs, and thus requires efficient pre-processing or denoising before applying further navigation
Kaiwen Yuan, Z. J. Wang
semanticscholar   +1 more source

An Improved UKF for IMU State Estimation Based on Modulation LSTM Neural Network

IEEE transactions on intelligent transportation systems (Print)
Due to the divergence of accuracy caused by inertial measurement unit (IMU) cumulative error, it is difficult for a single IMU equipment to realize vehicle positioning.
Jin-Xin Luo, Kun-Yang Wu, Yitian Wang, Tian-Hao Wang, Guan-Yu Zhang, Yang Liu   +5 more
semanticscholar   +1 more source

sEMG and IMU Data-Based Hand Gesture Recognition Method Using Multistream CNN With a Fine-Tuning Transfer Framework

IEEE Sensors Journal, 2023
Interfaces based on surface electromyography (sEMG) and inertial measurement units (IMUs) enable users to interact with computers in a natural and intuitive way through hand gestures.
Guiyin Li, Bo Wan, Kejia Su, Jiwang Huo, Changhua Jiang, Fei Wang   +5 more
semanticscholar   +1 more source

An LSTM-Assisted GNSS/INS Integration System Using IMU Recomputed Error Information for Train Localization

IEEE Transactions on Aerospace and Electronic Systems
Global navigation satellite system (GNSS)/inertial navigation system (INS) integration is widely used for train positioning, but railways tunnels and mountains can interfere GNSS signals and will lead to performance degradation when the system is ...
Yidi Chen, Wei Jiang, Jian Wang, Bai-Gen Cai, Dan Liu, X. Ba, Yang Yang   +6 more
semanticscholar   +1 more source

Model-Based Deep Learning for Low-Cost IMU Dead Reckoning of Wheeled Mobile Robot

IEEE transactions on industrial electronics (1982. Print)
Low-cost inertial measurement units (IMUs) suffer from low sensitivity and high random walk noise, which makes it challenging to use them directly for dead reckoning.
Fanghong Guo, Han Yang, Xiang Wu, Hui Dong, Qi Wu, Zhengguo Li   +5 more
semanticscholar   +1 more source

Enhancing WiFi Fingerprinting Localization Through a Co-Teaching Approach Using Crowdsourced Sequential RSS and IMU Data

IEEE Internet of Things Journal
Crowdsourcing dramatically benefits WiFi fingerprinting localization in reducing the costs of collecting received signal strength (RSS) data during offline site survey and has gained much attention in the literature. This article proposes a deep-learning-
Zhendong Xu, Baoqi Huang, Bing Jia, Guoqiang Mao   +3 more
semanticscholar   +1 more source

Calibration of a precision SINS IMU and construction of IMU-bound orthogonal frame

Gyroscopy and Navigation, 2015
The paper focuses on construction of reference orthogonal frame bound with inertial measurement system of a strapdown inertial navigation system. Main points of the algorithm refining the FOG IMU calibration parameters in dynamic test bench conditions using the Kalman filter and relying upon the system navigation solution are detailed. Time lags in FOG
B. A. Blazhnov, G. I. Emel’yantsev, E. V. Dranitsyna, A. P. Stepanov   +3 more
openaire   +1 more source

Opportunistic Hybrid VLC-IMU Positioning

2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), 2020
IMU systems can provide positioning without requiring deployed infrastructure. Nonetheless, they suffer from large cumulative errors. On the other hand, visible light communications (VLC) systems can deliver highly accurate positioning as long as communication coverage is assured, which does not always happens in indoor environments.
Cristóbal Carreño, Fabián Seguel, Ismael Soto, Nicolas Krommenacker, Patrick Charpentier, Pablo Adasme   +5 more
openaire   +2 more sources