Research Article
Maps for Easy Paths (MEP): Accessible Paths Tracking and Reconstruction
@ARTICLE{10.4108/eai.31-8-2017.153050, author={S. Comai and E. De Bernardi and M. Matteucci and F. Salice}, title={Maps for Easy Paths (MEP): Accessible Paths Tracking and Reconstruction}, journal={EAI Endorsed Transactions on Internet of Things}, volume={3}, number={9}, publisher={EAI}, journal_a={IOT}, year={2017}, month={1}, keywords={City accessibility, path reconstruction, motor impairments, mobile application.}, doi={10.4108/eai.31-8-2017.153050} }- S. Comai
E. De Bernardi
M. Matteucci
F. Salice
Year: 2017
Maps for Easy Paths (MEP): Accessible Paths Tracking and Reconstruction
IOT
EAI
DOI: 10.4108/eai.31-8-2017.153050
Abstract
MEP (Maps for Easy Paths) is a project for the enrichment of geographical maps with information about accessibility of urban pedestrian pathways, targeted at people with mobility problems. In this paper, we describe the tools developed to collect data along the paths travelled by target people and the algorithms for a good quality reconstruction of the path developed to overcome the intrinsic limitation of the sensors available on mobile devices. Experimental results show the feasibility of the approach.
Copyright © 2017 S. Comai et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
