Abstract
Machine vision systems on vehicle act as key technology onto Advanced Driving Assistance System (ADAS). These vision systems at visible light wave length detect lane markers, vehicles, pedestrians and other objects around vehicles. In the case of less visible weather-condition, these image output do not have clear contrast due to wave length for machine vision use. In this paper we propose a road recognition technology at Terahertz (THz) wave band by detecting two types of polarizations and radiation power from road surface and obstacles. In order to detect road surface and obstacles, we apply to compare horizontal and vertical polarized detecting power. A derivation and fabrication are represented in this paper. Our proposal system is addressed to improve the road boundary identification even if less visibility condition by detecting two polarizations at THz-wave band through our preliminary experimental results.
