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Authors: K. Hammoudi 1 ; N. Ajam 1 ; M. Kasraoui 2 ; F. Dornaika 3 ; K. Radhakrishnan 4 ; K. Bandi 4 ; Q. Cai 4 and S. Liu 4

Affiliations: 1 Research Institute on Embedded Electronic Systems (IRSEEM) and ESIGELEC School of Engineering, France ; 2 Research Institute on Embedded Electronic Systems (IRSEEM), France ; 3 University of the Basque Country, IKERBASQUE and Basque Foundation for Science, Spain ; 4 ESIGELEC School of Engineering, France

Keyword(s): Vehicular Network (VANET), Vehicular Cloud Computing (VCC), Image-based Recognition, Fusion of Multi-source Imagery, Real-time Video Services, Cooperative Monitoring System, Sensor Networks.

Related Ontology Subjects/Areas/Topics: Av-Communication and Multimedia ; Digital Signal Processing ; Mobile and Pervasive Computing ; Telecommunications ; Ubiquitous Multimedia

Abstract: In this paper, we propose a design for novel and experimental cloud computing systems. The proposed system aims at enhancing computational, communicational and annalistic capabilities of road navigation services by merging several independent technologies, namely vision-based embedded navigation systems, prominent Cloud Computing Systems (CCSs) and Vehicular Ad-hoc NETwork (VANET). This work presents our initial investigations by describing the design of a global generic system. The designed system has been experimented with various scenarios of video-based road services. Moreover, the associated architecture has been implemented on a small-scale simulator of an in-vehicle embedded system. The implemented architecture has been experimented in the case of a simulated road service to aid the police agency. The goal of this service is to recognize and track searched individuals and vehicles in a real-time monitoring system remotely connected to moving cars. The presented work demonstrat es the potential of our system for efficiently enhancing and diversifying real-time video services in road environments. (More)

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Paper citation in several formats:
Hammoudi, K.; Ajam, N.; Kasraoui, M.; Dornaika, F.; Radhakrishnan, K.; Bandi, K.; Cai, Q. and Liu, S. (2015). Design, Implementation and Simulation of an Experimental Processing Architecture for Enhancing Real-time Video Services by Combining VANET, Cloud Computing System and Onboard Navigation System. In Proceedings of the 5th International Conference on Pervasive and Embedded Computing and Communication Systems - PECCS; ISBN 978-989-758-084-0; ISSN 2184-2817, SciTePress, pages 174-179. DOI: 10.5220/0005330201740179

@conference{peccs15,
author={K. Hammoudi. and N. Ajam. and M. Kasraoui. and F. Dornaika. and K. Radhakrishnan. and K. Bandi. and Q. Cai. and S. Liu.},
title={Design, Implementation and Simulation of an Experimental Processing Architecture for Enhancing Real-time Video Services by Combining VANET, Cloud Computing System and Onboard Navigation System},
booktitle={Proceedings of the 5th International Conference on Pervasive and Embedded Computing and Communication Systems - PECCS},
year={2015},
pages={174-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005330201740179},
isbn={978-989-758-084-0},
issn={2184-2817},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pervasive and Embedded Computing and Communication Systems - PECCS
TI - Design, Implementation and Simulation of an Experimental Processing Architecture for Enhancing Real-time Video Services by Combining VANET, Cloud Computing System and Onboard Navigation System
SN - 978-989-758-084-0
IS - 2184-2817
AU - Hammoudi, K.
AU - Ajam, N.
AU - Kasraoui, M.
AU - Dornaika, F.
AU - Radhakrishnan, K.
AU - Bandi, K.
AU - Cai, Q.
AU - Liu, S.
PY - 2015
SP - 174
EP - 179
DO - 10.5220/0005330201740179
PB - SciTePress

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