Cargando…

An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing

Like Smart Home and Smart Devices, Smart Navigation has become necessary to travel through the congestion of the structure of either building or in the wild. The advancement in smartphone technology and incorporation of many different precise sensors have made the smartphone a unique choice for deve...

Descripción completa

Detalles Bibliográficos
Autores principales: Ali Sarker, Md. Rabiul, Hassanuzzaman, Md, Biswas, Purnendu, Dadon, Saikot Hossain, Imam, Tasmina, Rahman, Tanzilur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587749/
https://www.ncbi.nlm.nih.gov/pubmed/34770276
http://dx.doi.org/10.3390/s21216969
_version_ 1784598238024695808
author Ali Sarker, Md. Rabiul
Hassanuzzaman, Md
Biswas, Purnendu
Dadon, Saikot Hossain
Imam, Tasmina
Rahman, Tanzilur
author_facet Ali Sarker, Md. Rabiul
Hassanuzzaman, Md
Biswas, Purnendu
Dadon, Saikot Hossain
Imam, Tasmina
Rahman, Tanzilur
author_sort Ali Sarker, Md. Rabiul
collection PubMed
description Like Smart Home and Smart Devices, Smart Navigation has become necessary to travel through the congestion of the structure of either building or in the wild. The advancement in smartphone technology and incorporation of many different precise sensors have made the smartphone a unique choice for developing practical navigation applications. Many have taken the initiative to address this by developing mobile-based solutions. Here, a cloud-based intelligent traveler assistant is proposed that exploits user-generated position and elevation data collected from ubiquitous smartphone devices equipped with Accelerometer, Gyroscope, Magnetometer, and GPS (Global Positioning System) sensors. The data can be collected by the pedestrians and the drivers, and are then automatically put into topological information. The platform and associated innovative application allow travelers to create a map of a route or an infrastructure with ease and to share the information for others to follow. The cloud-based solution that does not cost travelers anything allows them to create, access, and follow any maps online and offline. The proposed solution consumes little battery power and can be used with lowly configured resources. The ability to create unknown, unreached, or unrecognized rural/urban road maps, building structures, and the wild map with the help of volunteer traveler-generated data and to share these data with the greater community makes the presented solution unique and valuable. The proposed crowdsourcing method of knowing the unknown would be an excellent support for travelers.
format Online
Article
Text
id pubmed-8587749
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-85877492021-11-13 An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing Ali Sarker, Md. Rabiul Hassanuzzaman, Md Biswas, Purnendu Dadon, Saikot Hossain Imam, Tasmina Rahman, Tanzilur Sensors (Basel) Article Like Smart Home and Smart Devices, Smart Navigation has become necessary to travel through the congestion of the structure of either building or in the wild. The advancement in smartphone technology and incorporation of many different precise sensors have made the smartphone a unique choice for developing practical navigation applications. Many have taken the initiative to address this by developing mobile-based solutions. Here, a cloud-based intelligent traveler assistant is proposed that exploits user-generated position and elevation data collected from ubiquitous smartphone devices equipped with Accelerometer, Gyroscope, Magnetometer, and GPS (Global Positioning System) sensors. The data can be collected by the pedestrians and the drivers, and are then automatically put into topological information. The platform and associated innovative application allow travelers to create a map of a route or an infrastructure with ease and to share the information for others to follow. The cloud-based solution that does not cost travelers anything allows them to create, access, and follow any maps online and offline. The proposed solution consumes little battery power and can be used with lowly configured resources. The ability to create unknown, unreached, or unrecognized rural/urban road maps, building structures, and the wild map with the help of volunteer traveler-generated data and to share these data with the greater community makes the presented solution unique and valuable. The proposed crowdsourcing method of knowing the unknown would be an excellent support for travelers. MDPI 2021-10-20 /pmc/articles/PMC8587749/ /pubmed/34770276 http://dx.doi.org/10.3390/s21216969 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ali Sarker, Md. Rabiul
Hassanuzzaman, Md
Biswas, Purnendu
Dadon, Saikot Hossain
Imam, Tasmina
Rahman, Tanzilur
An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing
title An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing
title_full An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing
title_fullStr An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing
title_full_unstemmed An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing
title_short An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing
title_sort efficient surface map creation and tracking using smartphone sensors and crowdsourcing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587749/
https://www.ncbi.nlm.nih.gov/pubmed/34770276
http://dx.doi.org/10.3390/s21216969
work_keys_str_mv AT alisarkermdrabiul anefficientsurfacemapcreationandtrackingusingsmartphonesensorsandcrowdsourcing
AT hassanuzzamanmd anefficientsurfacemapcreationandtrackingusingsmartphonesensorsandcrowdsourcing
AT biswaspurnendu anefficientsurfacemapcreationandtrackingusingsmartphonesensorsandcrowdsourcing
AT dadonsaikothossain anefficientsurfacemapcreationandtrackingusingsmartphonesensorsandcrowdsourcing
AT imamtasmina anefficientsurfacemapcreationandtrackingusingsmartphonesensorsandcrowdsourcing
AT rahmantanzilur anefficientsurfacemapcreationandtrackingusingsmartphonesensorsandcrowdsourcing
AT alisarkermdrabiul efficientsurfacemapcreationandtrackingusingsmartphonesensorsandcrowdsourcing
AT hassanuzzamanmd efficientsurfacemapcreationandtrackingusingsmartphonesensorsandcrowdsourcing
AT biswaspurnendu efficientsurfacemapcreationandtrackingusingsmartphonesensorsandcrowdsourcing
AT dadonsaikothossain efficientsurfacemapcreationandtrackingusingsmartphonesensorsandcrowdsourcing
AT imamtasmina efficientsurfacemapcreationandtrackingusingsmartphonesensorsandcrowdsourcing
AT rahmantanzilur efficientsurfacemapcreationandtrackingusingsmartphonesensorsandcrowdsourcing