1 research outputs found
Convolutional Neural Network-based Optical Camera Communication System for Internet of Vehicles
The evolution of internet of vehicles (IoV) and the growing use of mobile
devices with the development of the Internet of Things, demand has grown for
alternative wireless communication technologies. As a promising alternative,
optical-camera communication (OCC) has emerged that uses light-emitting diode
(LED) and camera as transmitter and receiver respectively. Since LEDs and
cameras are exploring in traffic lights, vehicles, and public lightings, OCC
has the potential to handle the transport systems intelligently. Though some
technologies have been proposed or developed, these are not mature enough to
uphold the huge requirements of IoV. However, most of the OCC applications are
limited to single vehicle and there has been limited focus on the use of
multiple vehicles detection (spatial) or fast processing (temporal) systems.
Also, there has no system to challenge with the bad weather condition. In this
research, a vision camera and high-speed camera has been proposed to provide
multiple vehicle detection and fast data processing. Here, a convolutional
neural network (CNN) based vehicular OCC system has been introduced to
guarantee communication to maintain communication at the adverse condition and
near-infrared is proposed in addition to visible lights to provide long range
and secure communication. To support IoV communication, software-defined
networking (SDN) has been proposed. Finally, the results represent the required
conditions for vehicular OCC system analysis and improved performance
demonstration using the proposed intelligent system.Comment: MSc Thesi