DO IONet: 9-Axis IMU-Based 6-DOF Odometry Framework Using Neural Network for Direct Orientation Estimation-Reference-Cited by-同舟云学术

DO IONet: 9-Axis IMU-Based 6-DOF Odometry Framework Using Neural Network for Direct Orientation Estimation

Published:2023 Issue: Volume:11 Page:55380-55388
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Seo Hong-Il¹^ORCID,Bae Ju-Won¹^ORCID,Kim Won-Yeol²,Seo Dong-Hoan³^ORCID

Affiliation:

1. Department of Electronics and Electrical Engineering, Interdisciplinary Major of Maritime AI Convergence, Korea Maritime and Ocean University, Busan, South Korea

2. Department of Artificial Intelligence Engineering, Chosun University, Gwangju, South Korea

3. Division of Electronics and Electrical Information Engineering, Interdisciplinary Major of Maritime AI Convergence, Korea Maritime and Ocean University, Busan, South Korea

Funder

National Research Foundation of Korea

Korea Government [Ministry of Science and ICT (MSIT)]

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10141598.pdf?arnumber=10141598

Reference33 articles.

1. Automatic self-reconstruction model for radio map in Wi-Fi fingerprinting

2. Reviews on Various Inertial Measurement Unit (IMU) Sensor Applications

3. Environment Adaptive Localization Method Using Wi-Fi and Bluetooth Low Energy

4. Selective Unsupervised Learning-Based Wi-Fi Fingerprint System Using Autoencoder and GAN

5. Neural Network-Based Real-Time Odometry Using IMU for Crane System and Its Application to Large-Scale 3D Mapping

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