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

K. Hammoudi, N. Ajam, M. Kasraoui, F. Dornaika, K. Radhakrishnan, K. Bandi, Q. Cai, S. Liu

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 demonstrates the potential of our system for efficiently enhancing and diversifying real-time video services in road environments.

References

  1. Fritsch, J., Kuehnl, T., and Geiger, A. (2013). A new performance measure and evaluation benchmark for road detection algorithms. In International Conference on Intelligent Transportation Systems (ITSC).
  2. Geiger, A., Lenz, P., and Urtasun, R. (2012). Are we ready for autonomous driving? the kitti vision benchmark suite. In Conference on Computer Vision and Pattern Recognition (CVPR).
  3. Gerla, M., Weng, J. T., and Pau, G. (2013). Pics-on-wheels: Photo surveillance in the vehicular cloud. In IEEE International Conference on Computing, Networking and Communications (ICNC), pages 1123-1127.
  4. Hammoudi, K., Dornaika, F., Soheilian, B., Vallet, B., McDonald, J., and Paparoditis, N. (2013). A synergistic approach for recovering occlusion-free textured 3D maps of urban facades from heterogeneous cartographic data. International Journal of Advanced Robotic Systems, 10:10p.
  5. Hammoudi, K. and McDonald, J. (2013). Design, implementation and simulation of an experimental multicamera imaging system for terrestrial and multipurpose mobile mapping platforms: A case study. Applied Mechanics and Materials, Trans Tech Publications, Selected papers from the International Conference on Optimization of the Robots, 332:139-144.
  6. Maslekar, N. (2011). Adaptative traffic signal control system based on inter-vehicular communication. Ph.D. thesis, University of Rouen, Esigelec School of Engineering.
  7. Whaiduzzaman, M., Sookhak, M., Gani, A., and Buyya, R. (2014). A survey on vehicular cloud computing. Journal of Network and Computer Applications, 40:325- 344.
  8. Yu, R., Zhang, Y., Gjessing, S., Xia, W., and Yang, K. (2013). Toward cloud-based vehicular networks with efficient resource management. In IEEE Network, pages 48-55.
Download


Paper Citation


in Harvard Style

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 - Volume 1: PECCS, ISBN 978-989-758-084-0, pages 174-179. DOI: 10.5220/0005330201740179


in Bibtex Style

@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 - Volume 1: PECCS,},
year={2015},
pages={174-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005330201740179},
isbn={978-989-758-084-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: 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
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