RDMO-SLAM: Real-Time Visual SLAM for Dynamic Environments Using Semantic Label Prediction With Optical Flow

RDMO-SLAM: Real-Time Visual SLAM for Dynamic Environments Using Semantic Label Prediction With Optical Flow

Visual simultaneous localization and mapping (vSLAM) are considered a fundamental technology for augmented reality and intelligent mobile robots. However, rigid scene assumption is common in vSLAM, which limits the wide usage in populated real-world environments. Recently, with the widespread use of...

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Bibliographic Details
Main Authors: Yubao Liu, Jun Miura
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Visual SLAM
semantic segmentation
real-time
dynamic environments
RDS-SLAM
Online Access:https://ieeexplore.ieee.org/document/9497091/

Internet

https://ieeexplore.ieee.org/document/9497091/

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