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Collaborative navigation systems for collision avoidance

Karimi, HA and Zimmerman, B and Nawn, D and Sutovsky, P (2010) Collaborative navigation systems for collision avoidance. In: UNSPECIFIED.

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Accidents on roads are one of the main causes of human loss and damages to property every day and anywhere that vehicles travel. Communications-based approaches to reducing highway accidents include vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. However, while V2V and V2I are promising approaches for reducing accidents, they require installation of new sensors in vehicles and the information they can produce is limited. In this paper, we present the navigation-to-navigation (Nav2Nav) approach for reducing accidents on roads which is different from V2V and V2I from several perspectives including: (a) the widespread availability and use of navigation systems with no installation requirement, (b) the familiarity and acceptance of navigation systems by many people around the word, (c) the availability of map databases in navigation systems which facilitates map matching (the process of finding the correct segment of road as opposed to raw positioning data) and prediction in navigation, and (d) the availability of routes requested by drivers. © 2010 ICST.


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
CreatorsEmailPitt UsernameORCID
Karimi, HAhkarimi@pitt.eduHKARIMI0000-0001-5331-5004
Zimmerman, B
Nawn, D
Sutovsky, P
Date: 1 January 2010
Date Type: Publication
Journal or Publication Title: Proceedings of the 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010
Event Type: Conference
DOI or Unique Handle: 10.4108/icst.collaboratecom.2010.21
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9780984589326
Other ID: ISBN: 978-963-9995-24-6, INSPEC Accession Number: 11989459
Date Deposited: 05 Jul 2011 16:08
Last Modified: 21 Jun 2020 00:55


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