scholarly journals Optical-Interference Mitigation in Visible Light Communication for Intelligent Transport Systems Applications

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5064 ◽  
Author(s):  
Muhammad Irfan ◽  
Usman Habib ◽  
Fazal Muhammad ◽  
Farman Ali ◽  
Abdullah S Alwadie ◽  
...  

Intelligent Transport Systems (ITS) are anticipated to be one of the key technologies for the next decade and their deployment can benefit from the recent developments in the domain of Visible Light Communication (VLC). Light Emitting Diode (LED)-based low-cost VLC is considered in this work to provide a practical approach towards the implementation of an ITS by addressing the major issues of channel noise, free-space optical multipath reflections and interference from light sources. An analytical model is presented for the proposed Multiple-Input–Single-Output (MISO)-based VLC, and simulations are performed to analyze the performance of the system for various transmission distances. Results show that the proposed optimal receiver for 4 × 1 MISO can provide considerable improvement in the bit error rate for the forward error correction (FEC) threshold of 3.8 × 10−3 in the presence of optical interference, and is suitable to support an ITS with an inter-vehicle transmission approach. The comparison of achieved performance with existing solutions for VLC-based ITS depicts that the proposed framework provides much higher data rates, three times longer transmission distance and improved receiver sensitivity.

2021 ◽  
Vol 19 (3) ◽  
pp. 515-523
Author(s):  
Renata Maria Mare ◽  
Claudio Luiz Marte ◽  
Carlos Eduardo Cugnasca ◽  
Osvaldo Gogliano Sobrinho ◽  
Alessandro Santiago Dos Santos

2015 ◽  
Vol 713-715 ◽  
pp. 1175-1179 ◽  
Author(s):  
Lu Xi Li ◽  
Yao Deng ◽  
Yue Chen ◽  
Jian Hua Shen

Visible Light Communication (VLC) technology is one of the main candidate solutions for Intelligent Transportation Systems (ITS). This paper presents a comprehensive study on VLC based anti-rear-end collision scheme on the highway. A detailed VLC based rear-end collision avoidance model is proposed with theoretical analysis and numerical simulations.


2019 ◽  
Vol 70 (3) ◽  
pp. 214-224
Author(s):  
Bui Ngoc Dung ◽  
Manh Dzung Lai ◽  
Tran Vu Hieu ◽  
Nguyen Binh T. H.

Video surveillance is emerging research field of intelligent transport systems. This paper presents some techniques which use machine learning and computer vision in vehicles detection and tracking. Firstly the machine learning approaches using Haar-like features and Ada-Boost algorithm for vehicle detection are presented. Secondly approaches to detect vehicles using the background subtraction method based on Gaussian Mixture Model and to track vehicles using optical flow and multiple Kalman filters were given. The method takes advantages of distinguish and tracking multiple vehicles individually. The experimental results demonstrate high accurately of the method.


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