MG-SLAM: RGB-D SLAM Based on Semantic Segmentation for Dynamic Environment in the Internet of Vehicles

The Internet of Vehicles (IoV) has become an important direction in the field of intelligent transportation, in which vehicle positioning is a crucial part. SLAM (Simultaneous Localization and Mapping) technology plays a cruc... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2024-12-11
DOI
https://doi.org/10.32604/cmc.2024.058944
Citations
4
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
1.31
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article

MG-SLAM: RGB-D SLAM Based on Semantic Segmentation for Dynamic Environment in the Internet of Vehicles

Kai Zhu, Fengju Zhang
4 citations
Computers, materials & continua/Computers, materials & continua (Print)
Robotics and Automated Systems
1.31
article

MG-SLAM: RGB-D SLAM Based on Semantic Segmentation for Dynamic Environment in the Internet of Vehicles

Kai Zhu, Fengju Zhang
article en
4 citations

Abstract

The Internet of Vehicles (IoV) has become an important direction in the field of intelligent transportation, in which vehicle positioning is a crucial part. SLAM (Simultaneous Localization and Mapping) technology plays a cruc... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 82(2)
Openalex Percentile: Top 18%
Robotics and Automated Systems
1.31
DOIOpen Access PDFOpenAlex
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MG-SLAM: RGB-D SLAM Based on Semantic Segmentation for Dynamic Environment in the Internet of Vehicles — Kai Zhu, Fengju Zhang · Computers, materials & continua/Computers, materials & continua (Print) (2024) | TGRS Research Map | TGRS