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

dc.contributor.author

Ali Sarker, Md Rabiul

dc.contributor.author

Hassanuzzaman, Md

dc.contributor.author

Biswas, Purnendu

dc.contributor.author

Dadon, Saikot Hossain

dc.contributor.author

Imam, Tasmina

dc.contributor.author

Rahman, Tanzilur

dc.date.accessioned

2025-09-14T21:48:52Z

dc.date.available

2025-09-14T21:48:52Z

dc.date.issued

2021-10

dc.description.abstract

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.

dc.identifier

s21216969

dc.identifier.issn

1424-8220

dc.identifier.issn

1424-8220

dc.identifier.uri

https://hdl.handle.net/10161/33184

dc.language

eng

dc.publisher

MDPI AG

dc.relation.ispartof

Sensors (Basel, Switzerland)

dc.relation.isversionof

10.3390/s21216969

dc.rights.uri

https://creativecommons.org/licenses/by-nc/4.0

dc.subject

Humans

dc.subject

Geographic Information Systems

dc.subject

Crowdsourcing

dc.subject

Smartphone

dc.subject

Pedestrians

dc.title

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

dc.type

Journal article

duke.contributor.orcid

Hassanuzzaman, Md|0000-0002-4751-3773

pubs.begin-page

6969

pubs.issue

21

pubs.organisational-group

Duke

pubs.organisational-group

Pratt School of Engineering

pubs.organisational-group

Student

pubs.organisational-group

Electrical and Computer Engineering

pubs.publication-status

Published

pubs.volume

21

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing.pdf
Size:
5.81 MB
Format:
Adobe Portable Document Format
Description:
Published version