A real-time semantic visual SLAM approach with points and objects

Visual simultaneously localization and mapping (SLAM) is important for self-localization and environment perception of service robots, where semantic SLAM can provide a more accurate localization result and a map with abundant semantic information. In this article, we propose a real-time PO-SLAM app...

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Bibliographic Details
Main Authors: Peiyu Guan, Zhiqiang Cao, Erkui Chen, Shuang Liang, Min Tan, Junzhi Yu
Format: Article
Language:English
Published: SAGE Publishing 2020-02-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.1177/1729881420905443