Title
The Practice of Cloud-based Navigation System for Indoor Robot
Abstract
The indoor positioning system has seen an explosion of advances in recent years, particularly in demands for location-based services. One such important location-based service is indoor navigation for robots based on an indoor positioning system, which is used to guide blind people and locate patients in a hospital. However, most indoor navigation systems are based on location information depended on respect signal from at least three reference access points. In this paper, we design a cloud-based navigation system for indoor robot through a Wi-Fi located at the one-hop wireless network. We compare our proposal and baseline techniques in the real-world indoor environment. The practical results show that the robot using the fixed edge cloud can move in accuracy achieved position and efficiently reach to the given destination position. Moreover, an indoor robot using a single access point and cloud service is more suitable and straightforward than using existing models.
Year
DOI
Venue
2020
10.1109/IMCOM48794.2020.9001709
2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)
Keywords
Field
DocType
indoor positioning,cloud service,indoor robot
Wireless network,Computer science,Navigation system,Real-time computing,Robot,Indoor positioning system,Cloud computing
Conference
ISSN
ISBN
Citations 
2644-0164
978-1-7281-5454-1
0
PageRank 
References 
Authors
0.34
13
6
Name
Order
Citations
PageRank
Tran Trong Khanh110.72
Tran Hoang Hai200.34
Vandung Nguyen300.34
Tri-Dung Nguyen4299.02
Ngo Thien Thu511.37
Eui-Nam Huh61036113.46