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Collaborative map matching in Nav2Nav

Socharoentum, M and Karimi, HA (2011) Collaborative map matching in Nav2Nav. In: UNSPECIFIED.

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Abstract

Although in-car navigation systems are becoming commonplace, cars travelling in urban canyon areas still suffer from poor positional accuracy and limited visibility of GPS satellites due to signal blockage. As a result, map matching accuracy and navigation performance may not reach the required level for many applications. Researchers have tried to address positional inaccuracy in navigation systems using various techniques, such as map matching, augmentation, and differential GPS. However, some void still exist as these techniques require intensive computation, static base stations, or installation of extra equipment. In this paper, we propose Collaborative Map Matching (CMM) which is a novel technique aiming to improve map matching accuracy in Nav2Nav. CMM is based on differential GPS, high quality road map, and collaborative computation. CMM does not require intensive computation, static base stations, or extra equipment installed in cars. The main requirement is for cars to work collaboratively, through Nav2Nav, to help one another. Simulation of CMM shows that improved GPS positional accuracy obtained by one car can be shared to improve the map matching accuracy of other nearby cars. © 2011 ICST.


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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Socharoentum, M
Karimi, HAhkarimi@pitt.eduHKARIMI0000-0001-5331-5004
Date: 1 December 2011
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: ColiaborateCom 2011 - Proceedings of the 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing
Page Range: 251 - 257
Event Type: Conference
DOI or Unique Handle: 10.4108/icst.collaboratecom.2011.247200
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781936968367
Date Deposited: 07 Jul 2012 13:45
Last Modified: 31 Jul 2020 14:55
URI: http://d-scholarship.pitt.edu/id/eprint/12752

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