Frame-to-Frame Visual Odometry Estimation Network With Error Relaxation Method

Frame-to-Frame Visual Odometry Estimation Network With Error Relaxation Method

Estimating frame-to-frame (F2F) visual odometry with monocular images has significant problems of propagated accumulated drift. We propose a learning-based approach for F2F monocular visual odometry estimation with novel and simple methods that consider the coherence of camera trajectories without a...

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Bibliographic Details
Main Authors: Sangwon Hwang, Myeongah Cho, Yuseok Ban, Kyungjae Lee
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep neural network
visual odometry
camera pose
odometry drift
camera trajectory
Online Access:https://ieeexplore.ieee.org/document/9919836/

Internet

https://ieeexplore.ieee.org/document/9919836/

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