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

Jeong, Jae‐Hoon; Park, Kiwon

doi:10.3390/s21134345

Cited by 5 publications

(8 citation statements)

References 16 publications

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“…3, the LED signals are measured for R, G, and B values of each position using Arduino, RGB sensor, and MCP3204. Due to disturbance factors except for LED lights used for positioning, the signals measured by the RGB sensor may include distortion and bias of the waveform [20], [21], [22], [23], [24], [25]. As shown in Fig.…”

Section: A Construction Of Tunnel Simulatormentioning

confidence: 99%

“…In this paper, we propose a technology for estimating position by analyzing the components of light measured 2 > REPLACE THIS LINE WITH YOUR MANUSCRIPT ID NUMBER (DOUBLE-CLICK HERE TO EDIT) < according to location through LED lights with different color temperatures on a 2D plane. The gap between the LED chromaticity values used in the studies [20], [21], [22], [23], [24], [25] is reduced, and positioning is estimated through analysis using interpolation and FFT. Light changes color depending on its wavelength, and it can be obtained from the tristimulus values X, Y, and Z designated by the Commission Internationale de l´Eclairage (CIE) by measuring R, G, and B values.…”

Section: Introductionmentioning

confidence: 99%

“…The correlated color temperature (CCT) value can be obtained through x and y. As a result, information about the color temperature of the LED light can be obtained [20], [21], [22], [23], [24], [25] Positioning using CCT and FFT The rest parts of the paper are organized as follows. In Section II, the color coordinates, black body, and correlated color temperature of light are described.…”

Section: Introductionmentioning

confidence: 99%

“…The CCT value can be obtained through McCamy's formula and can be expressed as follows [29]: In this paper, we set up the experimental environment as shown in Fig. 2 and conducted localization experiments using LEDs with CCT characteristics in the white band [20], [21], [22], [23], [24], [25].…”

Section: Introductionmentioning

confidence: 99%

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Development of Positioning Technology Using LED

Woo

Kim

et al. 2023

IEEE Photonics J.

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With the development of electric vehicles, indoor driving robots, wearable devices, etc., research on technology for recognizing one's current location continues to progress. Selflocalization is an essential need for autonomous driving and mainly requires global positioning system (GPS), thereby using technologies such as LiDAR, Wi-Fi, and visible light communication (VLC). However, GPS is greatly affected by its surrounding environment, and it can make errors, especially in spaces where signals are blocked, such as tunnels and buildings. In this paper, we propose a system for estimating one's location using LED lights and frequency components with different color temperatures in an indoor space such as a tunnel. We installed three types of LED lights with different color temperatures in a tunnel-like experimental environment and collected data using RGB sensors. We also estimated the user's current location according to the color temperature and frequency component analysis from the data. In most cases, it was measured within a margin of error of 0-2 cm. It is expected that this will be used for generating data on the location of indoor service robots and autonomous vehicles in spaces where it is difficult to use GPS.

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Section: A Construction Of Tunnel Simulatormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development of Positioning Technology Using LED

Woo

Kim

et al. 2023

IEEE Photonics J.

Self Cite

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show abstract

“…Again in [9], the authors present a fuzzy logic system capable of determining the position of a moving robot in a shaded indoor environment (such as a tunnel or a covered car park). Using GPS data and analyzing the chromaticity and frequency-component ratio of the LED lights installed in the ceiling and compared to a navigation potential system.…”

Section: Introductionmentioning

confidence: 99%

GPS Data Correction Based on Fuzzy Logic for Tracking Land Vehicles

et al. 2021

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GPS sensors are widely used to know a vehicle’s location and to track its route. Although GPS sensor technology is advancing, they present systematic failures depending on the environmental conditions to which they are subjected. To tackle this problem, we propose an intelligent system based on fuzzy logic, which takes the information from the sensors and correct the vehicle’s absolute position according to its latitude and longitude. This correction is performed by two fuzzy systems, one to correct the latitude and the other to correct the longitude, which are trained using the MATLAB ANFIS tool. The positioning correction system is trained and tested with two different datasets. One of them collected with a Pmod GPS sensor and the other a public dataset, which was taken from routes in Brazil. To compare our proposal, an unscented Kalman filter (UKF) was implemented. The main finding is that the proposed fuzzy systems achieve a performance of 69.2% higher than the UKF. Furthermore, fuzzy systems are suitable to implement in an embedded system such as the Raspberry Pi 4. Another finding is that the logical operations facilitate the creation of non-linear functions because of the ‘if else’ structure. Finally, the existence justification of each fuzzy system section is easy to understand.

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Embedded Navigation System of Mechatronics Robot by Fuzzy Control Algorithm

2023

IJOMAM

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With the development of mechatronics robot intelligence and autonomy, automatic obstacle avoidance and path planning has become the core of the current robot navigation system research. This research aims to solve the problems of complex path planning and poor parameter strain in ultrasonic array navigation systems. Firstly, the research status of the mobile robot is introduced, and a new embedded navigation system based on ultrasonic array technology is designed. Then, the fuzzy control algorithm is introduced, and a new Positive/Negative (P/N) local path planning algorithm based on fuzzy control is proposed. The normal rule is used to make the robot move toward the target point, in which the robot avoids obstacles through negative rules. The complexity of the fuzzy system is reduced through binary negative rules. Then, the precise output is obtained through the path decision formula to realize the local path planning system of the mechatronic robot. Finally, the simulation results verify the effectiveness of the improved algorithm. Based on the joint simulation experiment platform of Simulink and Robot Operating System (ROS), the excellent performance of the proposed embedded navigation system has been verified. The new P/N local path planning algorithm of fuzzy control can make the running track more accurate and smoother by optimizing the path. The new embedded navigation system can provide theoretical analysis and practical reference for developing an electromechanical robot navigation system.

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

Cited by 5 publications

References 16 publications

Development of Positioning Technology Using LED

Development of Positioning Technology Using LED

GPS Data Correction Based on Fuzzy Logic for Tracking Land Vehicles

Embedded Navigation System of Mechatronics Robot by Fuzzy Control Algorithm

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