  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.
