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
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.
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