Javascript must be enabled to continue!
Map-Based Localization Indoor Environment for Object Tracking using RF Trackers
View through CrossRef
Abstract
This paper proposed a RF-based mapping-based indoor localization technique to locate their packages and items. The Received Signal Strength Indicator (RSSI) is commonly used in trilateration to allocate the packages or items location. However, several problems need to overcome to increase the accuracy of the RSSI signal propagation for the localization. The problems include the complexity of the indoor environment will affect the radio waves experienced multipath effect such as the signal may be reflected, refracted, absorbed or blocked by other matter. The paper is designed to study the propagation of radio waves in indoor conditions, identify the type of antenna used and determine the accuracy of the localization model. The RSSI is recorded for every 1m until reached the maximum read range of 20m to study the behaviour of radio waves propagation and the relationships between RSSI and distance. The RSSI mapping experiment was carried out to determine the type of antenna used to carry out the experiment. The localization is performed with mapping-based technique to predict the random coordinates in the testbed. The predicted coordinates and actual coordinates were compared to determine the accuracy of the localization model. The error between the actual coordinates and predicted coordinates can achieve an average of 0.95 meter. The RF mapping-based indoor localization technique results shown that the effectiveness of the techniques to be implemented in a company to improve the efficiency in the production line.
Title: Map-Based Localization Indoor Environment for Object Tracking using RF Trackers
Description:
Abstract
This paper proposed a RF-based mapping-based indoor localization technique to locate their packages and items.
The Received Signal Strength Indicator (RSSI) is commonly used in trilateration to allocate the packages or items location.
However, several problems need to overcome to increase the accuracy of the RSSI signal propagation for the localization.
The problems include the complexity of the indoor environment will affect the radio waves experienced multipath effect such as the signal may be reflected, refracted, absorbed or blocked by other matter.
The paper is designed to study the propagation of radio waves in indoor conditions, identify the type of antenna used and determine the accuracy of the localization model.
The RSSI is recorded for every 1m until reached the maximum read range of 20m to study the behaviour of radio waves propagation and the relationships between RSSI and distance.
The RSSI mapping experiment was carried out to determine the type of antenna used to carry out the experiment.
The localization is performed with mapping-based technique to predict the random coordinates in the testbed.
The predicted coordinates and actual coordinates were compared to determine the accuracy of the localization model.
The error between the actual coordinates and predicted coordinates can achieve an average of 0.
95 meter.
The RF mapping-based indoor localization technique results shown that the effectiveness of the techniques to be implemented in a company to improve the efficiency in the production line.
Related Results
Is a Fitbit a Diary? Self-Tracking and Autobiography
Is a Fitbit a Diary? Self-Tracking and Autobiography
Data becomes something of a mirror in which people see themselves reflected. (Sorapure 270)In a 2014 essay for The New Yorker, the humourist David Sedaris recounts an obsession spu...
Indoor Localization System Based on RSSI-APIT Algorithm
Indoor Localization System Based on RSSI-APIT Algorithm
An indoor localization system based on the RSSI-APIT algorithm is designed in this study. Integrated RSSI (received signal strength indication) and non-ranging APIT (approximate pe...
Solar Trackers Using Six-Bar Linkages
Solar Trackers Using Six-Bar Linkages
Abstract
A solar panel faces the sun or has the solar ray normal to its face to enhance power reaping. A fixed solar panel can only meet this condition at one moment...
Small head movements increase and colour noise in data from five video-based P–CR eye trackers
Small head movements increase and colour noise in data from five video-based P–CR eye trackers
AbstractWe empirically investigate the role of small, almost imperceptible balance and breathing movements of the head on the level and colour of noise in data from five commercial...
Unravelling indoor temperature response to summer heat through long-term crowdsourced observations in Dutch residences
Unravelling indoor temperature response to summer heat through long-term crowdsourced observations in Dutch residences
City dwellers are increasingly exposed to summer heat due to climate change and urbanization. Summer heat, which causes heat stress, is intensified especially at night in urban are...
Depth-aware salient object segmentation
Depth-aware salient object segmentation
Object segmentation is an important task which is widely employed in many computer vision applications such as object detection, tracking, recognition, and ret...
The indoor mycobiome of daycare centers is affected by occupancy and climate
The indoor mycobiome of daycare centers is affected by occupancy and climate
AbstractMany children spend considerable time in daycare centers and may here be influenced by indoor microorganisms, including fungi. In this study, we investigate the indoor myco...
Object Tracking Comparison for Automated Vehicles Using MathWorks Toolsets
Object Tracking Comparison for Automated Vehicles Using MathWorks Toolsets
<div class="section abstract"><div class="htmlview paragraph">Object trackers are a tool to achieve accurate object state estimation over time. Due to their complexity,...

