Decision Analysis of Winter Road Conditions by Crowd Sensing Platform

In order to realize autonomous driving system on ordinal roads, it is necessary for drivers to precisely predict and know the road state before running the objective road. In this paper, accuracy of states decision on actual winter road using various on-board sensors including 9-axis dynamic sensors, near infrared razer sensor, far infrared temperature sensor and humid sensor is analyzed.