RoomSLAM: Simultaneous Localization and Mapping With Objects and Indoor Layout Structure

RoomSLAM: Simultaneous Localization and Mapping With Objects and Indoor Layout Structure

This article presents RoomSLAM, a Simultaneous Localization and Mapping (SLAM) method for mobile robots in indoor environments where environments are modeled by points and quadrilaterals in 2D space. Points represent positions of semantic objects whereas quadrilaterals approximate the structural lay...

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Bibliographic Details
Main Authors: Ismail Rusli, Bambang R. Trilaksono, Widyawardana Adiprawita
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Indoor mapping
mobile robot
RGBD sensor
semantic
SLAM
Online Access:https://ieeexplore.ieee.org/document/9241796/

Internet

https://ieeexplore.ieee.org/document/9241796/

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