Redirigiendo al acceso original de articulo en 21 segundos...
Inicio  /  Applied System Innovation  /  Vol: 5 Par: 1 (2022)  /  Artículo
ARTÍCULO
TITULO

Visual SLAM Based Spatial Recognition and Visualization Method for Mobile AR Systems

Jooeun Song and Joongjin Kook    

Resumen

The simultaneous localization and mapping (SLAM) market is growing rapidly with advances in Machine Learning, Drones, and Augmented Reality (AR) technologies. However, due to the absence of an open source-based SLAM library for developing AR content, most SLAM researchers are required to conduct their own research and development to customize SLAM. In this paper, we propose an open source-based Mobile Markerless AR System by building our own pipeline based on Visual SLAM. To implement the Mobile AR System of this paper, we use ORB-SLAM3 and Unity Engine and experiment with running our system in a real environment and confirming it in the Unity Engine?s Mobile Viewer. Through this experimentation, we can verify that the Unity Engine and the SLAM System are tightly integrated and communicate smoothly. In addition, we expect to accelerate the growth of SLAM technology through this research.

Palabras claves

 Artículos similares

       
 
Jooeun Song and Joongjin Kook    
SLAM technology, which is used for spatial recognition in autonomous driving and robotics, has recently emerged as an important technology to provide high-quality AR contents on mobile devices due to the spread of XR and metaverse technologies. In this p... ver más
Revista: Applied Sciences

 
Shengyang Chen, Weifeng Zhou, An-Shik Yang, Han Chen, Boyang Li and Chih-Yung Wen    
Visual simultaneous localization and mapping (v-SLAM) and navigation of unmanned aerial vehicles (UAVs) are receiving increasing attention in both research and education. However, extensive physical testing can be expensive and time-consuming due to safe... ver más
Revista: Aerospace

 
Yakun Wu, Li Luo, Shujuan Yin, Mengqi Yu, Fei Qiao, Hongzhi Huang, Xuesong Shi, Qi Wei and Xinjun Liu    
The Simultaneous Localization and Mapping (SLAM) algorithm is a hotspot in robot application research with the ability to help mobile robots solve the most fundamental problems of ?localization? and ?mapping?. The visual semantic SLAM algorithm fused wit... ver más
Revista: Applied Sciences

 
Francisco Bonin-Font and Antoni Burguera    
State of the art approaches to Multi-robot localization and mapping still present multiple issues to be improved, offering a wide range of possibilities for researchers and technology. This paper presents a new algorithm for visual Multi-robot simultaneo... ver más

 
Jing Qi, Xilun Ding, Weiwei Li, Zhonghua Han and Kun Xu    
Hand postures and speech are convenient means of communication for humans and can be used in human?robot interaction. Based on structural and functional characteristics of our integrated leg-arm hexapod robot, to perform reconnaissance and rescue tasks i... ver más
Revista: Applied Sciences