Paper Info
Title
Indoor Positioning System Based on Distributed Camera Sensor Networks for Mobile Robot.
Abstract
An importance of accurate position estimation in the field of mobile robot navigation cannot be overemphasized. In case of an outdoor environment, a global positioning system (GPS) is widely used to measure the position of moving objects. However, the satellite based GPS does not work indoors. In this paper, we propose a novel indoor positioning system (IPS) that uses calibrated camera sensors and 3D map information. The IPS information is obtained by generating a bird's-eye image from multiple camera images; thus, our proposed IPS can provide accurate position information when the moving object is detected from multiple camera views. We evaluate the proposed IPS in a real environment in a wireless camera sensor network. The results demonstrate that the proposed IPS based on the camera sensor network can provide accurate position information of moving objects.
Year
DOI
Venue
2016
10.1007/978-3-319-48036-7_80
INTELLIGENT AUTONOMOUS SYSTEMS 14
Keywords
Field
DocType
Global positioning system,Indoor positioning system,Camera network,Mobile robot
Computer vision,Hybrid positioning system,Satellite,Image sensor,Computer science,Artificial intelligence,Global Positioning System,Mobile robot navigation,Wireless sensor network,Mobile robot,Indoor positioning system
Conference
Volume
ISSN
Citations 
531
2194-5357
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Yonghoon Ji1197.41
Atsushi Yamashita232167.29
Hajime Asama3826237.10