Results 231 to 240 of about 51,586 (282)

IMU Hand Calibration for Low-Cost MEMS Inertial Sensors

IEEE Transactions on Instrumentation and Measurement, 2023
This article proposes a technique to calibrate a low-cost inertial measurement unit (IMU) in the field without relying on expensive laboratory-based equipment.
Hussein Al Jlailaty, Abdulkadir Celik, Mohammad M. Mansour, A. Eltawil   +3 more
semanticscholar   +1 more source

GLIO: Tightly-Coupled GNSS/LiDAR/IMU Integration for Continuous and Drift-Free State Estimation of Intelligent Vehicles in Urban Areas

IEEE Transactions on Intelligent Vehicles
Intelligent vehicles demand reliable, continuous, and accurate positioning capability. Light Detection and Ranging (LiDAR)-inertial odometry (LIO) provides precise continuous relative pose estimation but suffers from drift over large-scale operations ...
Xikun Liu, W. Wen, Li-Ta Hsu
semanticscholar   +1 more source

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

Combining IMU With Acoustics for Head Motion Tracking Leveraging Wireless Earphone

IEEE Transactions on Mobile Computing
Head motion tracking is a promising research field with vast applications in ubiquitous human-computer interaction (HCI) scenarios. Unfortunately, solutions based on vision and wireless sensing have shortcomings in user privacy and tracking range ...
Jingyang Hu, Hongbo Jiang, Daibo Liu, Zhu Xiao, Qibo Zhang, Jiangchuan Liu, S. Dustdar   +6 more
semanticscholar   +1 more source

Observability-Aware Intrinsic and Extrinsic Calibration of LiDAR-IMU Systems

IEEE Transactions on robotics, 2022
Accurate and reliable sensor calibration is essential to fuse LiDAR and inertial measurements, which are usually available in robotic applications.
Jiajun Lv, Xingxing Zuo, Ke Hu, Jinhong Xu, Guoquan Huang, Yong Liu   +5 more
semanticscholar   +1 more source

Two-Step LiDAR/Camera/IMU Spatial and Temporal Calibration Based on Continuous-Time Trajectory Estimation

IEEE transactions on industrial electronics (1982. Print)
Accurate intersensor spatiotemporal transformation is the fundamental prerequisite for multisensor fusion. However, traditional discrete-time calibration methods have natural shortcomings when dealing with distorted and asynchronous raw measurements ...
Shengyu Li, Xingxing Li, Shuolong Chen, Yuxuan Zhou, Shiwen Wang   +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

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 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.
Jinxin Luo, Kunyang Wu, Yitian Wang, Tianhao Wang, Guanyu Zhang, Yang Liu   +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, Baigen Cai, Dan Liu, Xiaohui Ba, Yang Yang   +6 more
semanticscholar   +1 more source