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.
['Karim Hammoudi', 'Nabil Ajam', 'Mohamed Kasraoui', 'Fadi Dornaika', 'Karan Radhakrishnan', 'Karthik Bandi', 'Qing Cai', 'Sai Liu']
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