Visual-MIMO for vehicle to vehicle communications

Manikandan, C.; Neelamegam, P.; Wilfred, A. Aldrin

doi:10.1109/icmdcs.2017.8211563

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…It seeks further attention to confront some key research challenges on the way of integration of MIMO into OCC. To shed light on the MIMO issue, in a recent study [86], Kalman filter methodology along with regular geometric schemes was implemented to reduce BER while detecting and tracking the RoI of the light-emitting array. In contrast, the selective capture (SC) strategy, a newly introduced scheme to capture RoI from each frame, was proposed in a different study [87].…”

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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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: Roi Signalingmentioning

confidence: 99%

Optical Camera Communication in Vehicular Applications: A Review

Hasan

Ali

Rahman

et al. 2022

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

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“…Perturbation factors like ambient light, irregular and blur motion, makes the detection of corner points of LEA challenging. These factors make the Harris corner detection fails to detect or inaccurately detect the minimum required corner points [16]. This makes an imperfect selection of ROI corresponding to the LEA and increases BER.…”

Section: Introductionmentioning

confidence: 99%

Optimal Tracking of QR Inspired LEA Using Particle Filter for Secured Visual MIMO Communication Based Vehicular Network

et al. 2019

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Line of sight (LoS) and security are the fundamental requirement for any secure visual MIMO communication based vehicular networks. Uneven speed, irregular terrains, and uncertain appearance of obstacles disgrace LoS between the visual multiple-input multiple-output (MIMO) transmitter and receiver. This paper proposes optimal tracking techniques to maintain LoS using a novel quick response (QR) inspired light emitting array (LEA) pattern. Automatic geometric transformation of the QR code in conjunction with the particle filter is used to track the dynamically varying LEA position. In addition to that, an adaptive threshold technique (ATT) has been proposed to minimize error caused by ambient light variations and interferences. A novel key generation algorithm is also proposed to improve the security of the visual MIMO communication system. It utilizes a customized linear feedback shift register (LFSR) and synthetic color image to generate a stronger key. The randomness test demonstrates the robustness of the proposed key generation technique with a minimal probability value of 0.1223 (>0.01). Simulation and real-time studies have been carried out in the presence of geometric distortions, and the bit error rate (BER) performance is evaluated. Results illustrate that the proposed techniques make the visual MIMO system more secure and reliable for vehicular networks.

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“…Hence, the system is called a visual MIMO communication system [12][13][14]. The visual MIMO communication system has found wide applications in outdoor settings such as Vehicle to Vehicle communications (V2V), Object tracking, and so on [15][16][17]. It is also tested in indoor applications [18,19].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Object Tracking and Covert Visual MIMO Communication Service for Museum Security System Using Single Vision Sensor

et al. 2018

Self Cite

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This paper explores the spatial coverage potential of a vision sensor to implement a dual service for a museum security system. Services include object monitoring and invisible visual Multiple-Input and Multiple-Output (MIMO) communication. For object monitoring, the Kalman filter algorithm is used. To implement a secret visual MIMO communication, an Adaptive Row-Column (ARC)-based LSB substitution technique is used along with the Integer Wavelet Transform method. These proposed services are implemented using existing electronic visual displays and surveillance cameras. Experiments are carried out using a sample object and four stego images. The performance of the object tracking system is measured in terms of accuracy by comparing the actual and estimated position of an object. Similarly, the performance of the covert visual MIMO system is measured at two different stages. On the transmitter side, differences between the cover and stego-images are used to measure imperceptibility. Likewise, at the receiver, differences between the original and the reconstructed data images are used to measure the accuracy. Results illustrate that the proposed system has improved imperceptibility, accuracy, and robustness, as compared to existing techniques.

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Visual-MIMO for vehicle to vehicle communications

Cited by 4 publications

References 13 publications

Optical Camera Communication in Vehicular Applications: A Review

Optical Camera Communication in Vehicular Applications: A Review

Optimal Tracking of QR Inspired LEA Using Particle Filter for Secured Visual MIMO Communication Based Vehicular Network

An Integrated Object Tracking and Covert Visual MIMO Communication Service for Museum Security System Using Single Vision Sensor

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