Position Recognition for an Autonomous Vehicle Based on Vehicle-to-Led Infrastructure

Abstract

Self-driving cars are needed to ensure the location of the cars in order by recognizing obstacles around the vehicles, and creating and following travel routes. GPS based location determination system includes a very large error range, which limits the use of the GPS in tunnels, parking lots and large cities where radio signals are not able to travel through the air efficiently. High precision location determination technologies allow the cars to interact the navigation systems of self-driving cars with Intelligent Transportation System or ITS. The development of recent LED technology is applied to various industries. However, the technology is broadly used in the lighting system which is highly important for railroad traffic system. White color LED which is widely used for the lighting of lamps in tunnels, and it has various color temperature, which has different chromaticity coordinates. In this context, this paper aims at the location determination of self driving cars by analyzing the coordinates of chromaticity point, while grouping LED streetlamps which have different color temperature and shining optical focus on lanes. In addition, the paper evaluates the lane locations of the vehicles through the interrelation between their location and chromaticity coordinates under the laboratory environment. As a result, the paper identified the possibility of the location determination in the limited space of GPS signals.