Emerging intelligent transportation systems (ITS) are based on several technologies. A new concept of integrating visible light communications (VLC) in ITS is introduced in this paper. VLC in ITS is a cost effective method of implementation. This paper presents a VLC broadcast system considering LED-based traffic lights. It discusses the integration of traffic light road side unit (RSUs) within the existing ITS architecture. A prototype demonstrator of the designed VLC systems is also presented. A robust modulation technique based on direct sequence spread spectrum (DSSS) sequence inverse keying (SIK) has been implemented to minimize the effect of noise sources. Experimental results show data communication range of over 40m with 200mm custom designed traffic light, even during bright sun light.

Motion Estimation is an essential process in many video coding standards like MPEG-2, H.264/AVC and HEVC. Despite Motion Estimation has been used at the encoder, it is expected to be used in future consumer devices in the distributed video coding architectures. But the Motion Estimation itself consumes more than 50% coding complexity or time to encode. To reduce the computation time, many fast Motion Estimation Algorithms were proposed and implemented. The present paper proposes a new fast ME algorithm which outperforms the fast ME algorithm implemented in HEVC reference software HM.

This paper discusses the implementation of a light emitting diode based visible light communication system, for intelligent transportation in road safety applications. The signal processing of both, transmitter and receiver are realized in a field programmable gate array using two Spartan-3E development kits. The implemented modulation scheme is based on direct sequence spread spectrum techniques. The performance of the overall system is evaluated and results are presented. It is found that the system is well suited for traffic broadcast at low data rate and medium range. The simulation results also show that spread spectrum modulation techniques mitigate the effect of noise produced by ambient artificial light sources.

In optical camera communication (OCC) systems leverage on the use of commercial off-the-shelf image sensors to perceive the spatial and temporal variation of light intensity to enable data transmission. However, the transmission data rate is mainly limited by the exposure time and the frame rate of the camera. In addition, the camera's sampling will introduce intersymbol interference (ISI), which will degrade the system performance. In this paper, an artificial neural network (ANN)-based equaliser with the adaptive algorithm is employed for the first time in the field of OCC to mitigate ISI and therefore increase the data rate. Unlike other communication systems, training of the ANN network in OCC is done only once in a lifetime for a range of different exposure time and the network can be stored with a look-up table. The proposed system is theoretically investigated and experimentally evaluated. The results record the highest bit rate for OCC using a single LED source and the Manchester line code (MLC) non-return to zero (NRZ) encoded signal. It also demonstrates 2 to 9 times improved bandwidth depending on the exposure times where the system's bit error rate is below the forward error correction limit.

Light-emitting diodes (LEDs) are becoming increasingly ubiquitous. They can be found in illumination appliances, phones, TVs, advertising panels, dashboards, and traffic signals, among others. Most illumination applications are becoming LED based, mainly due to their long operational lifetime and high energy efficiency, which is nowadays higher than 100 lm/W [1]. Other benefits include enhanced sustainability, a compact form factor, easier maintenance, and lower cost. For these reasons, LED lighting is expected to have a market share of 84% in the general illumination market by 2030 [2]. However, there is another characteristic that is not being fully exploited: LEDs are capable of switching their light intensity at a rate that is imperceptible to the human eye. This property has been used for dimming purposes but can also be utilized in the opportunistic deployment of value-added services based on visible light communication (VLC).

This paper presents a Visible Light Communication (VLC) system architecture suitable for outdoor applications. VLC usages in outdoor scenarios are facing new opportunities raised by the increasing trends on the usage of LEDs. Traffic light signals and public illumination systems are two application examples, where VLC can show its merits. These scenarios pose several challenges due to the fact that it is difficult to control environmental conditions. Thus, VLC systems able to operate under these conditions need to employ robust modulation schemes. This paper proposes the usage of direct sequence spread spectrum to combat noise and interference. The implemented prototype demonstrates that it is feasible to achieve more than 40m communication range for low data rate applications even in the presence of significant optical noise levels.