Data Fusion Driven Lane-level Precision Data Transmission for V2X Road Applications

Abstract

Inter-vehicle communication is being developed continuously in order to accomplish a better driving experience. Through the exchange of information between vehicles and Road Side Unit (RSU), number of accidents can be reduced by notifying the driver through the facts obtained. In general, broadcast information for vehicles is sent in an ad hoc manner. However, unfiltered information may be useless and wasted for most vehicles. Thus, a raised question is whether precise information can be delivered only to the target vehicles without interfering with other non-target vehicles. A computer vision (CV) and sensor fusion-based transmission system are exchanged by RSU and Vehicle On-board Unit (OBU) is developed to attain this objective. In order to correctly transmit the specific information to the target vehicles, we propose a data fusion driven lane-level precision data transmission system that utilizes three kinds of sensory inputs: Road Side Camera (RSC), GPS, and magnetometer. By combining common features from these sensory inputs, our system is able to select the receiver of specific information on the road. Our system focuses on the scenario where a message can be transmitted to the target vehicles located in a certain lane. The experimental evaluation shows a recognition rate of 87.34% and the generated messages have a total delay less than 72 ms.