Adaptive spatial-temporal resolution optical vehicular communication system using image sensor

Islam, Amirul; Hossan, Md. Tanvir; Nguyen, Trang; Jang, Yeong Min

doi:10.1177/1550147717743698

Cited by 6 publications

(5 citation statements)

References 31 publications

(36 reference statements)

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“…In the presence of multiple light sources, recognizing the source with which communication needs to be performed can be strenuous. Over the years, several light-source-detection methodologies and algorithms have been developed [84]- [88]. A signaling technique for capturing and recognizing the actual light source before receiving the main data is referred to as RoI signaling [89].…”

Section: B Receivermentioning

confidence: 99%

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Optical Camera Communication in Vehicular Applications: A Review

Hasan

Ali

Rahman

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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Recently, substantial development is observed in the area of Internet of Vehicles owing to the application of wireless communication technologies. Majority of these technologies are based on radio frequency (RF); however, RF spectra are overly congested and regulated, and hence, insufficient to support massive data traffic in the future. In recent times, optical camera communication (OCC) that uses a light-emitting diode (LED) as a transmitter and a camera as a receiver has been deemed an excellent solution for future intelligent transportation systems. As a communication medium, OCC mostly uses visible light, the spectrum of which is vast, completely free, and unregulated. The current outdoor environment is heavily crammed with LED infrastructures, and most vehicles have built-in cameras, rendering OCC immensely promising. OCC is highly secured, supports mobility, and can achieve an excellent bit-error rate. However, the data rate obtained using OCC is not as high as that obtained using other RF-based systems; therefore, its reliability in fast-changing channels is still under research. This review article discusses the applications of the OCC system in vehicle-to-vehicle and vehicle-to-infrastructure (or vice versa) networks; to the best of our knowledge, this is the first extensive review dedicated to the above topic. Herein, we provide a general overview of OCC standardization in IEEE and ISO in recent years. Then, we explain the general principles of OCC, including channel characteristics, region of interest signaling, and modulation schemes particularly considered in vehicular communications. Additionally, we present a comprehensive overview of the effects of mobility, noise, and interference in OCC. Finally, the challenges and future opportunities in OCC are outlined.

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Section: B Receivermentioning

confidence: 99%

“…In [84], adaptive vehicular communication along with the applications of scale-invariant feature transform (SIFT) and iterative closest point (ICP) algorithms were studied. To detect multiple vehicles in the spatial scenario and identify respective RoI, a vision camera was used.…”

Section: Roi Signalingmentioning

confidence: 99%

Optical Camera Communication in Vehicular Applications: A Review

Hasan

Ali

Rahman

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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“…In [224], the case of blurred image detection is addressed using an Artificial Intelligence based decoding method. Additionally, new positioning and detection methods and algorithms are proposed in the literature for vehicular OCC [225]- [227]. In [228], a traffic sign detection technique is proposed for a V2I OCC communication using dual cameras.…”

Section: B the Owc-iott In Smart Citiesmentioning

confidence: 99%

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

Çelik

Romdhane²,

Kaddoum³

2023

IEEE Commun. Surv. Tutorials

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The Internet of Things (IoT) is a transformative technology marking the beginning of a new era where physical, biological, and digital worlds are integrated by connecting a plethora of uniquely identifiable smart objects. Although the Internet of terrestrial things (IoTT) has been at the center of our IoT perception, it has been recently extended to different environments, such as the Internet of underWater things (IoWT), the Internet of Biomedical things (IoBT), and Internet of un-derGround things (IoGT). Even though radio frequency (RF) based wireless networks are regarded as the default means of connectivity, they are not always the best option due to the limited spectrum, interference limitations caused by the everincreasing number of devices, and severe propagation loss in transmission mediums other than air. As a remedy, optical wireless communication (OWC) technologies can complement, replace, or co-exist with audio and radio wave-based wireless systems to improve overall network performance. To this aim, this paper reveals the full potential of OWC-based IoT networks by providing a top-down survey of four main IoT domains: IoTT, IoWT, IoBT, and IoGT. Each domain is covered by a dedicated and self-contained section that starts with a comparative analysis, explains how OWC can be hybridized with existing wireless technologies, points out potential OWC applications fitting best the related IoT domain, and discusses open communication and networking research problems. More importantly, instead of presenting a visionary OWC-IoT framework, the survey discloses that OWC-IoT has become a reality by emphasizing ongoing proof-of-concept prototyping efforts and available commercial off-the-shelf (COTS) OWC-IoT products.

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“…In [209], the case of blurred image detection is addressed using an Artificial Intelligence based decoding method. Additionally, new positioning and detection methods and algorithms are proposed in the literature for vehicular OCC [210]- [212]. In [213], a traffic sign detection technique is proposed for a V2I OCC communication using dual cameras.…”

Section: B the Owc-iott In Smart Citiesmentioning

confidence: 99%

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

Çelik¹,

Romdhane²,

Kaddoum³

et al. 2022

Preprint

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The Internet of Things (IoT) is a transformative technology marking the beginning of a new era where physical and digital worlds are integrated by connecting a plethora of uniquely identifiable smart objects. Although the Internet of terrestrial things (IoTT) has been at the center of our IoT perception, it has been recently extended to different environments, such as the Internet of underWater things (IoWT), the Internet of Biomedical things (IoBT), and Internet of underGround things (IoGT). Even though radio frequency (RF) based wireless networks are regarded as the default means of connectivity, they are not always the best option due to the limited spectrum, interference limitations caused by the ever-increasing number of devices, and severe propagation loss in transmission mediums other than air. As a remedy, optical wireless communication (OWC) technologies can complement, replace, or co-exist with audio and radio wave-based wireless systems to improve overall network performance. To this aim, this paper reveals the full potential of OWC-based IoT networks by providing a top-down survey of four main IoT domains: IoTT, IoBT, and IoGT. Each domain is covered by a dedicated and self-contained section that starts with a comparative analysis, explains how OWC can be hybridized with existing wireless technologies, points out potential OWC applications fitting best the related IoT domain, and discusses open communication and networking research problems. More importantly, instead of presenting a visionary OWC-IoT framework, the survey discloses that OWC-IoT has become a reality by emphasizing ongoing proof-of-concept prototyping efforts and available commercial off-the-shelf (COTS) OWC-IoT products.

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Adaptive spatial-temporal resolution optical vehicular communication system using image sensor

Cited by 6 publications

References 31 publications

Optical Camera Communication in Vehicular Applications: A Review

Optical Camera Communication in Vehicular Applications: A Review

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

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