Localization using Optical Camera Communication and Photogrammetry for Wireless Networking Applications

TL;DR

This paper presents cost-effective localization schemes using optical camera communication and photogrammetry for indoor and outdoor wireless networking, leveraging existing LED infrastructure and mobile cameras.

Contribution

It introduces two novel localization schemes employing OCC and photogrammetry for mobile devices and vehicles, adaptable to existing infrastructure with minimal modifications.

Findings

Effective localization in indoor environments using OCC and photogrammetry.

Outdoor localization scheme suitable for vehicles and mobile objects.

Cost-efficient approach leveraging existing LED lighting infrastructure.

Abstract

Localization defines a term to describe the identifying process of a location within the space of two-dimensional (2D) space or three-dimensional (3D). A localization scheme is an important concern for connecting sensor nodes in remote locations. The demand of localization in wireless networking is increased due to the availability of mobile devices as well as scope for billion-dollar market in e-commence sector. Moreover, a new era has written with internet-of-things, which boost this demand 100 times than ever before. Importance of localization applications is considered in both indoor and outdoor environments. Due to several advantages, LED and camera based positioning is more demanding over radio frequency based localization. Using the existing light-emitting diodes (LEDs) based illumination infrastructure it is possible to compute the coordinates of the camera, whereas cameras are embedded/installed in mobile objects, such as smartphone, vehicle. Optical camera communication (OCC) and photogrammetry are two important technologies to measure the position of these mobile objects. These technologies based localization scheme for both smartphone and vehicle should be cost effective and can be deployed with little modification of the existing infrastructures. I proposed two different schemes (i.e., indoor and outdoor environments) to localize these objects with OCC and photogrammetry techniques.