Development of Positioning Technology Using LED

With the development of electric vehicles, indoor driving robots, wearable devices, etc., research on technology for recognizing one's current location continues to progress. Self-localization 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.

Automated summary

With the rise of electric vehicles, indoor driving robots, and wearable devices, the research on recognizing one's current location has been progressing. The reliance on GPS for self-localization in autonomous driving has led to the exploration of alternative technologies such as LiDAR, Wi-Fi, and visible light communication (VLC). This paper proposes a system that utilizes LED lights and different color temperature frequency components to estimate one's location in indoor spaces like tunnels. By collecting data using RGB sensors and analyzing color temperature and frequency components, the user's current location can be estimated with minimal errors, usually within a range of 0-2 cm. This technology is expected to generate valuable location data for indoor service robots and autonomous vehicles in areas where GPS signals are unavailable.