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Mobile Information Systems
Volume 2018, Article ID 8501898, 14 pages
https://doi.org/10.1155/2018/8501898
Research Article

A New Vehicle Localization Scheme Based on Combined Optical Camera Communication and Photogrammetry

Department of Electronics Engineering, Kookmin University, Seoul, Republic of Korea

Correspondence should be addressed to Yeong Min Jang; rk.ca.nimkook@gnajy

Received 16 December 2017; Revised 15 February 2018; Accepted 11 March 2018; Published 8 April 2018

Academic Editor: Jeongyeup Paek

Copyright © 2018 Md. Tanvir Hossan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The demand for autonomous vehicles is increasing gradually owing to their enormous potential benefits. However, several challenges, such as vehicle localization, are involved in the development of autonomous vehicles. A simple and secure algorithm for vehicle positioning is proposed herein without massively modifying the existing transportation infrastructure. For vehicle localization, vehicles on the road are classified into two categories: host vehicles (HVs) are the ones used to estimate other vehicles’ positions and forwarding vehicles (FVs) are the ones that move in front of the HVs. The FV transmits modulated data from the tail (or back) light, and the camera of the HV receives that signal using optical camera communication (OCC). In addition, the streetlight (SL) data are considered to ensure the position accuracy of the HV. Determining the HV position minimizes the relative position variation between the HV and FV. Using photogrammetry, the distance between FV or SL and the camera of the HV is calculated by measuring the occupied image area on the image sensor. Comparing the change in distance between HV and SLs with the change in distance between HV and FV, the positions of FVs are determined. The performance of the proposed technique is analyzed, and the results indicate a significant improvement in performance. The experimental distance measurement validated the feasibility of the proposed scheme.