ISFM-SLAM: dynamic visual SLAM with instance segmentation and feature matching

ISFM-SLAM: dynamic visual SLAM with instance segmentation and feature matching

IntroductionSimultaneous Localization and Mapping (SLAM) is a technology used in intelligent systems such as robots and autonomous vehicles. Visual SLAM has become a more popular type of SLAM due to its acceptable cost and good scalability when applied in robot positioning, navigation and other func...

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Bibliographic Details
Main Authors:	Chao Li, Yang Hu, Jianqiang Liu, Jianhai Jin, Jun Sun
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-11-01
Series:	Frontiers in Neurorobotics
Subjects:	simultaneous localization and mapping (SLAM) instance segmentation network dynamic environment motion consistency detection feature matching
Online Access:	https://www.frontiersin.org/articles/10.3389/fnbot.2024.1473937/full
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