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TRACKSS approach to improving road safety through sensors collaboration on vehicle and in infrastructure

Arief, Budi, von Arnim, Axel (2008) TRACKSS approach to improving road safety through sensors collaboration on vehicle and in infrastructure. In: Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th. . IEEE ISBN 978-1-4244-1722-3. (doi:10.1109/VETECF.2008.439) (KAR id:58691)

Abstract

There are various technologies that can be used to improve road safety, but they tend to be self-contained and do not interact much with other technologies. This might provide sufficient service as such, but we believe better systems can be developed if we allow these technologies to collaborate and share information with each other. This paper outlines the work we have carried out within the EU-funded TRACKSS project in order to allow two sensing technologies (near-infrared camera and smart dust) to work together, especially in developing more robust V2V and I2V safety applications.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/VETECF.2008.439
Additional information: Unmapped bibliographic data: C7 - 4657271 [EPrints field already has value set] LA - English [Field not mapped to EPrints] J2 - IEEE Veh Technol Conf [Field not mapped to EPrints] AD - School of Computing Science, Newcastle University, Newcastle upon Tyne NE1 7RU, United Kingdom [Field not mapped to EPrints] AD - LIVIC, LCPC, 14, route de la Miniere, 78000 Versailles, France [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] C3 - IEEE Vehicular Technology Conference [Field not mapped to EPrints]
Uncontrolled keywords: Collaborative sensors, I2V, Road safety, V2V, Wireless communication, Image compression, Roads and streets, Sensors, Technology
Subjects: Q Science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Budi Arief
Date Deposited: 17 Nov 2016 10:50 UTC
Last Modified: 05 Nov 2024 10:50 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/58691 (The current URI for this page, for reference purposes)

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