IoT Based Road State Sensing System Toward Autonomous Driving in Snow Country
摘要
In order to realize autonomous driving in snow country, IoT based road sate sensing system by combination of various environmental sensors is introduced. Using this system, not only various road states, such as dry, wet, slush, snowy, icy states are correctly identified, but the friction rates and roughness on road surface are quantitatively calculated so that the dangerous locations are identified and shown on the road map. Those road state data are also integrated and processed on MEC or cloud system to predicate the future road state in time and used for safe autonomous driving. In this paper, the proposed road state sensing system is designed and implemented as an experimental prototype to evaluate the performance and feasibility of autonomous driving in winter of a small snow city.