Understanding the Behavior of Data-Driven Inertial Odometry With Kinematics-Mimicking Deep Neural Network-Reference-Cited by-同舟云学术

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Understanding the Behavior of Data-Driven Inertial Odometry With Kinematics-Mimicking Deep Neural Network

Published:2021 Issue: Volume:9 Page:36589-36619
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Dugne-Hennequin Quentin Arnaud^ORCID,Uchiyama Hideaki^ORCID,Paulo Silva Do Monte Lima Joao^ORCID

Funder

JSPS KAKENHI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09366470.pdf?arnumber=9366470

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network;2023 IEEE 19th International Conference on Automation Science and Engineering (CASE);2023-08-26

2. DNN-Based Velocity Estimator Using Inertial Sensor for Robot Localization;IFAC-PapersOnLine;2023

3. DUET: Improving Inertial-Based Odometry via Deep IMU Online Calibration;IEEE Transactions on Instrumentation and Measurement;2023

4. RNIN-VIO: Robust Neural Inertial Navigation Aided Visual-Inertial Odometry in Challenging Scenes;2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR);2021-10

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