Literature DB >> 33921995

Design and Experimental Characterization of a Discovery and Tracking System for Optical Camera Communications.

Antonio Mederos-Barrera1, Cristo Jurado-Verdu1, Victor Guerra1, Jose Rabadan1, Rafael Perez-Jimenez1.   

Abstract

Visible light communications (VLC) technology is emerging as a candidate to meet the demand for interconnected devices' communications. However, the costs of incorporating specific hardware into end-user devices slow down its market entry. Optical camera communication (OCC) technology paves the way by reusing cameras as receivers. These systems have generally been evaluated under static conditions, in which transmitting sources are recognized using computationally expensive discovery algorithms. In vehicle-to-vehicle networks and wearable devices, tracking algorithms, as proposed in this work, allow one to reduce the time required to locate a moving source and hence the latency of these systems, increasing the data rate by up to 2100%. The proposed receiver architecture combines discovery and tracking algorithms that analyze spatial features of a custom RGB LED transmitter matrix, highlighted in the scene by varying the cameras' exposure time. By using an anchor LED and changing the intensity of the green LED, the receiver can track the light source with a slow temporal deterioration. Moreover, data bits sent over the red and blue channels do not significantly affect detection, hence transmission occurs uninterrupted. Finally, a novel experimental methodology to evaluate the evolution of the detection's performance is proposed. With the analysis of the mean and standard deviation of novel K parameters, it is possible to evaluate the detected region-of-interest scale and centrality against the transmitter source's ideal location.

Entities:  

Keywords:  K parameters; detection system; discovery system; optical camera communications; test system for tracking systems; tracking system

Year:  2021        PMID: 33921995     DOI: 10.3390/s21092925

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  4 in total

1.  Tracking-Learning-Detection.

Authors:  Zdenek Kalal; Krystian Mikolajczyk; Jiri Matas
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2011-12-13       Impact factor: 6.226

2.  Robust Object Tracking with Online Multiple Instance Learning.

Authors:  Boris Babenko; Ming-Hsuan Yang; Serge Belongie
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2010-12-23       Impact factor: 6.226

3.  Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

Authors:  Shaoqing Ren; Kaiming He; Ross Girshick; Jian Sun
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2016-06-06       Impact factor: 6.226

4.  Optical Camera Communications for IoT-Rolling-Shutter Based MIMO Scheme with Grouped LED Array Transmitter.

Authors:  Shivani Rajendra Teli; Vicente Matus; Stanislav Zvanovec; Rafael Perez-Jimenez; Stanislav Vitek; Zabih Ghassemlooy
Journal:  Sensors (Basel)       Date:  2020-06-13       Impact factor: 3.576

  4 in total

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