Fuzzy Logic Vehicle Positioning System Based on Chromaticity and Frequency Components of LED Illumination

Abstract

Given their wide applicability, vehicle positioning systems are being actively studied currently. As the conventional global positioning system (GPS) cannot determine the vehicle position inside tunnels and other GPS-shaded areas, we propose to improve vehicle positioning using a fuzzy logic system that can retrieve the position of a moving vehicle in such areas. The proposed system analyzes the chromaticity and frequency components of active LED illumination, which is being commonly installed at locations like inside tunnels. We verify the system performance in a test environment that resembles a tunnel. As the proposed method uses the chromaticity and frequency of LED lights for vehicle positioning, it is suitable for areas where GPS reception is poor or unavailable.

Numerical Analysis of 2-D Positioned, Indoor, Fuzzy-Logic, Autonomous Navigation System Based on Chromaticity and Frequency-Component Analysis of LED Light

“…Figure 2 shows the signal-processing procedure used in this study [ 24 ]. An RGB sensor (HDJD-s822) is used for performing positioning on the mesh grid on the simulator floor.…”

“…Figure 3 b shows the frequency-component ratios corresponding to the y-axis coordinates at which the sensor was located. Based on the reference data shown in Figure 3 , a fuzzy positioning system was developed [ 24 ]. In this study, a fuzzy-logic positioning system was designed with MATLAB to calculate the x and y-coordinates corresponding to the position of a mobile robot from data pertaining to the chromaticity and the frequency-component ratio of the light.…”

“…In this way, all the data points corresponding to the x-chromaticity and frequency-component ratio at the location of the mobile robot in the MATLAB-based simulation were estimated; these were then utilized as inputs to the fuzzy positioning system which calculates the 2-D Cartesian coordinates. Figure 4 summarizes the fuzzy positioning process [ 24 ].…”

“…Figure 5 describes the sensor system of the mobile robot used for evaluating the performance of the developed navigation system. The mobile robot was mounted with eight distance sensors and the fuzzy positioning system investigated in [ 24 ]. Figure 5 a shows the function of the distance sensors mounted at the front, right, and left of the robot.…”

“…In our previous study, a fuzzy-logic-based positioning system was developed using the chromaticity and frequency components of LED light [ 24 ], and it could successfully detect the position of a mobile robot in the developed simulator.…”