Maps for Easy Paths (MEP): Accessible Paths Tracking and Reconstruction

Journal Title: EAI Endorsed Transactions on Internet of Things - Year 2017, Vol 3, Issue 9

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.

Authors and Affiliations

S. Comai, E. De Bernardi, M. Matteucci, F. Salice

Keywords

Related Articles

Drone Package Delivery: A Heuristic approach for UAVs path planning and tracking

In this paper we propose a new approach based on a heuristic search for UAVs path planning with terrestrial wireless network tracking. In a previous work we proposed and exact solution based on an integer linear formulat...

Design and Analysis of a Wireless Nanosensor Network for Monitoring Human Lung Cells

Thanks to nanotechnology, it is now possible to fabricate sensor nodes below 100 nanometers in size. Although wireless communication at this scale has not been successfully demonstrated yet, simulations confirm that thes...

An automated testbed for profiling the packet send-time accuracy of embedded devices

Embedded devices, such as home routers or single-board computers, are becoming more powerful and affordable. Many of the existing Linux-based network measurement tools can also be run on these devices through cross-compi...

A Search Algorithm Based on K-Weighted Search Tree

Aiming at the issue of low efficiency in Peer-to-Peer (P2P) network system, a search algorithm based on K-weighted search tree is proposed. The k-weighted search tree serving the search is constructed. The nodes are rank...

A Practical Group Authentication Scheme for Smart Devices in IoT

Internet of things (IoT) is used to provide real-time data collection and analysis of the target area by the cooperation of low-cost devices. The authentication towards multiple devices has become the research hot-spot c...

Download PDF file
  • EP ID EP46494
  • DOI http://dx.doi.org/10.4108/eai.31-8-2017.153050
  • Views 280
  • Downloads 0

How To Cite

S. Comai, E. De Bernardi, M. Matteucci, F. Salice (2017). Maps for Easy Paths (MEP): Accessible Paths Tracking and Reconstruction. EAI Endorsed Transactions on Internet of Things, 3(9), -. https://europub.co.uk/articles/-A-46494