Real-time knowledge discovery from public data of Internet to improve decision-making of Autonomous Vehicles

With the help of the base installations of network services, mobile networks and pervasive computing, numerous real-time data information of external environment is available from the Internet and is valuable for autonomous vehicles to improve decision-making. Accordingly, in this paper, an approach is provided to collect useful data from the Internet and discover knowledge from these data. The paper introduces the principles and procedures of the approach detailedly. The approach is featured with low cost, easy deployment and can be widely used in many kinds of autonomous vehicles.