End-to-End Learning Framework for IMU-Based 6-DOF Odometry

End-to-End Learning Framework for IMU-Based 6-DOF Odometry

This paper presents an end-to-end learning framework for performing 6-DOF odometry by using only inertial data obtained from a low-cost IMU. The proposed inertial odometry method allows leveraging inertial sensors that are widely available on mobile platforms for estimating their 3D trajectories. Fo...

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Bibliographic Details
Main Authors: João Paulo Silva do Monte Lima, Hideaki Uchiyama, Rin-ichiro Taniguchi
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Sensors
Subjects:
odometry
6-DOF
IMU
neural networks
Online Access:https://www.mdpi.com/1424-8220/19/17/3777

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