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

Publication ,  Journal Article
Ali Sarker, MR; Hassanuzzaman, M; Biswas, P; Dadon, SH; Imam, T; Rahman, T
Published in: Sensors (Basel, Switzerland)
October 2021

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.

Duke Scholars

Published In

Sensors (Basel, Switzerland)

DOI

EISSN

1424-8220

ISSN

1424-8220

Publication Date

October 2021

Volume

21

Issue

21

Start / End Page

6969

Related Subject Headings

  • Smartphone
  • Pedestrians
  • Humans
  • Geographic Information Systems
  • Crowdsourcing
  • Analytical Chemistry
  • 4606 Distributed computing and systems software
  • 4104 Environmental management
  • 4009 Electronics, sensors and digital hardware
  • 4008 Electrical engineering
 

Citation

APA
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Ali Sarker, M. R., Hassanuzzaman, M., Biswas, P., Dadon, S. H., Imam, T., & Rahman, T. (2021). An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing. Sensors (Basel, Switzerland), 21(21), 6969. https://doi.org/10.3390/s21216969
Ali Sarker, Md Rabiul, Md Hassanuzzaman, Purnendu Biswas, Saikot Hossain Dadon, Tasmina Imam, and Tanzilur Rahman. “An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing.Sensors (Basel, Switzerland) 21, no. 21 (October 2021): 6969. https://doi.org/10.3390/s21216969.
Ali Sarker MR, Hassanuzzaman M, Biswas P, Dadon SH, Imam T, Rahman T. An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing. Sensors (Basel, Switzerland). 2021 Oct;21(21):6969.
Ali Sarker, Md Rabiul, et al. “An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing.Sensors (Basel, Switzerland), vol. 21, no. 21, Oct. 2021, p. 6969. Epmc, doi:10.3390/s21216969.
Ali Sarker MR, Hassanuzzaman M, Biswas P, Dadon SH, Imam T, Rahman T. An Efficient Surface Map Creation and Tracking Using Smartphone Sensors and Crowdsourcing. Sensors (Basel, Switzerland). 2021 Oct;21(21):6969.

Published In

Sensors (Basel, Switzerland)

DOI

EISSN

1424-8220

ISSN

1424-8220

Publication Date

October 2021

Volume

21

Issue

21

Start / End Page

6969

Related Subject Headings

  • Smartphone
  • Pedestrians
  • Humans
  • Geographic Information Systems
  • Crowdsourcing
  • Analytical Chemistry
  • 4606 Distributed computing and systems software
  • 4104 Environmental management
  • 4009 Electronics, sensors and digital hardware
  • 4008 Electrical engineering