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.
Highlights
Several studies have addressed the development of autonomous vehicles that intend to provide safe and efficient mobility to the driver and passengers [1]–[5]
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
We propose a fuzzy logic system for two-dimensional positioning of vehicles by using the chromaticity and frequency component ratios of light emitting diodes (LEDs) illumination in a tunnel environment
Summary
Several studies have addressed the development of autonomous vehicles that intend to provide safe and efficient mobility to the driver and passengers [1]–[5]. Recent research is addressing indoor positioning using visible light communication via LEDs, whose implementation requires a network of multiple LED transmitters In this network, each LED transmitter is given a unique ID, and position is estimated by trilateration, in which the distances from a receiver to the three closest transmitters are measured. Various measurement approaches for LED-based visible light communication are available, including proximity [16], received signal strength [17], fingerprinting [18], angle of arrival [19], time of arrival, time difference of arrival, phase difference of arrival, and image-based positioning [20]. We implemented a SISO fuzzy logic system that retrieves the position from a specific frequency component ratio contained in the R signal output of an RGB sensor to obtain the y-axis coordinate. We conducted an experiment in an environment resembling a tunnel, where GPS signals rarely reach, to verify the feasibility and principles of the proposed positioning approach
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