Image Recognition to Improve Positioning in Smart Urban Environments

Sara Paiva; Pedro Rodrigues; Benjamim Oliveira

Society with Future: Smart and Liveable Cities. First EAI International Conference, SC4Life 2019, Braga, Portugal, December 4-6, 2019, Proceedings

Research Article

Image Recognition to Improve Positioning in Smart Urban Environments

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@INPROCEEDINGS{10.1007/978-3-030-45293-3_5,
    author={Sara Paiva and Pedro Rodrigues and Benjamim Oliveira},
    title={Image Recognition to Improve Positioning in Smart Urban Environments},
    proceedings={Society with Future: Smart and Liveable Cities. First EAI International Conference, SC4Life 2019, Braga, Portugal, December 4-6, 2019, Proceedings},
    proceedings_a={SC4LIFE},
    year={2020},
    month={6},
    keywords={Image recognition Outdoor positioning Outdoor navigation Urban mobility Visually impaired people},
    doi={10.1007/978-3-030-45293-3_5}
}

Sara Paiva
Pedro Rodrigues
Benjamim Oliveira
Year: 2020
Image Recognition to Improve Positioning in Smart Urban Environments
SC4LIFE
Springer
DOI: 10.1007/978-3-030-45293-3_5

Sara Paiva¹^,*, Pedro Rodrigues¹^,*, Benjamim Oliveira¹^,*

1: Instituto Politécnico de Viana do Castelo

*Contact email: sara.paiva@estg.ipvc.pt, pmiguelrodrigues@ipvc.pt, benjamimoliveira@ipvc.pt

Abstract

This paper describes a solution and algorithm to enhance positioning in outdoor environments with high buildings to be used in a mobile application to aid visually impaired people for navigation purposes. We used an image recognition algorithm and adjusted the android app algorithm to decrease the initial error average of 85 m (without any correction from GPS obtained signal) to a 5 m error, in the final version of our solution.

Keywords: Image recognition Outdoor positioning Outdoor navigation Urban mobility Visually impaired people

Published: 2020-06-05
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-45293-3_5