Visible light communication for V2V intelligent transport system

Siddiqi, K.; Raza, A. D.; Muhammad, Sajid Sheikh

doi:10.1109/cobcom.2016.7593510

Cited by 41 publications

(20 citation statements)

References 9 publications

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“…Visible light provides not only illumination but also communication, which is called visible light communication (VLC). Many applications based on VLC have been developing such as intelligent public illumination [1], indoor communication [2,3], indoor positioning [4,5], intelligent transport systems [6,7], etc. Some studies also combine VLC with other communication techniques.…”

Section: Introductionmentioning

confidence: 99%

Improved Target Signal Source Tracking and Extraction Method Based on Outdoor Visible Light Communication Using a Cam-Shift Algorithm and Kalman Filter

Huang

Guan

Fan

et al. 2018

Sensors

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An improved Cam-Shift algorithm with a Kalman filter applied to image-sensor based on outdoor visible light communication (OVLC) is presented in this paper. The proposed optimized tracking algorithm is used to track and extract the region of the target signal source Light Emitting Diode (LED) that carries modulated information for data transmission. Extracting the target signal source LED area is the premise of an image-sensor-based VLC system, especially in outdoor dynamic scenes. However, most of the existing VLC studies focus on data transmission rate, visible light positioning, etc. While the actual first step of realizing communication is usually ignored in the field of VLC, especially when the transmitter (signal source LED) or the receiver (image sensor) is moving in a more complex outdoor environment. Therefore, an improved tracking algorithm is proposed in this paper, aiming at solving the problem of extracting the region of the target signal source LED accurately in dynamic scenes with different interferences so as to promote the feasibility of VLC applications in outdoor scenes. The proposed algorithm considers color characteristics and special distribution characteristics of the moving target at the same time. The image is converted to a color probability distribution map based on the color histogram of the target and adaptively adjusts the location and size of the search window based on the results obtained from the previous frame. Meanwhile, it predicts the motion state of the target in the next frame according to the position and velocity information of the current frame to enhance accuracy and robustness of tracking. Experimental results show that the tracking error of the proposed algorithm is 0.85 cm and the computational time of processing one frame is 0.042 s. Besides, results also show that the improved algorithm can track and extract the target signal source LED area completely and accurately in an environment of many interference factors. This study confirms that the proposed algorithm can be applied to an OVLC system with many interferences to realize the actual first step of communication in an image-sensor-based VLC system, laying foundations for subsequent data transmission and other steps.

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Section: Introductionmentioning

confidence: 99%

Improved Target Signal Source Tracking and Extraction Method Based on Outdoor Visible Light Communication Using a Cam-Shift Algorithm and Kalman Filter

Huang

Guan

Fan

et al. 2018

Sensors

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“…This short‐range technology uses the portion of the electromagnetic spectrum, which can be seen by the human eye, with wavelengths from 390 to 750 nm as a transmission medium 70 . At the receiver, the photo‐diode detector, the received signal is converted from light into an electrical signal which is then demodulated to the desirable information 12,71 …”

Section: Inside Train Communicationmentioning

confidence: 99%

Communication systems of high‐speed railway: A survey

Gheth

Rabie

Adebisi

et al. 2021

Trans Emerging Tel Tech

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Modern railway services are required to deliver good quality services to the passenger throughout the whole journey. These include improved performances, safety, and reduce delays. There is also the requirement for in‐train customer experience such as infotainment and access to reliable communication systems. The railway industry has employed different types and generations of communication systems in recent times. Signaling systems were used at the early stage of the railway services. Today, communication systems such as the second‐generation communication system, also known as the global system for mobile communications (GSM), the Third‐generation (3G) and the Fourth‐generation (4G) are utilized in the railway industry. In this paper, we present a brief history of railway communication systems, their features and applications. In addition, we discuss the technical challenges and potential solutions of in‐train communication systems and how data can be distributed on‐board and between the train coaches using state of the art and hybrid communication technologies.

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“…Principally, vehicular-to-vehicular (V2V) Network is a network where vehicles as moving nodes connect to each other to share and exchange information [4,5]. To support this, vehicles in the vehicular network can be equipped with a visible light communication (VLC) [6,7] device where the process of sharing information and exchanging messages relies on the connection among vehicles using lights as illustrated in Figure 1 [7].…”

Section: Introductionmentioning

confidence: 99%

The feasibility of obstacle awareness forwarding scheme in a visible light communication vehicular network

Kristiana

Darlis

Dewi

2020

IJECE

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A vehicular-to-vehicular (V2V) communication is a part of a vehicular ad-hoc network (VANET) that emerges recently due to the heavy traffic environment. V2V is a frequently changing network since it implements vehicles as mobile nodes. The challenges in implementing V2V are the relatively short duration of possible communication and the uneven city environment caused by high rise buildings or other objects that distract the signal transmission. The limited transmitting duration between vehicles requires efficient coordination and communication. This work focuses on the utility of visible light communication in vehicular network (VLC-VN) in data transmitting and the obstacle awareness in the forwarding scheme based on our knowledge in previous researches. The result of evaluating the feasibility of VLC-VN forwarding in a freeway environment the transmission delay is lower than 1 second in 500 byte data transmission, however it reaches to only about 4% in throughput as a drawback.

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Visible light communication for V2V intelligent transport system

Cited by 41 publications

References 9 publications

Improved Target Signal Source Tracking and Extraction Method Based on Outdoor Visible Light Communication Using a Cam-Shift Algorithm and Kalman Filter

Improved Target Signal Source Tracking and Extraction Method Based on Outdoor Visible Light Communication Using a Cam-Shift Algorithm and Kalman Filter

Communication systems of high‐speed railway: A survey

The feasibility of obstacle awareness forwarding scheme in a visible light communication vehicular network

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